LLM Jobs

Clustering, Python, SQL, Statistical Analysis, Qlik Sense, RAG, LLM, Evaluation Packages, PIP Installation, ability to create custom APIs, LangChain, Cognitive Layer, GCP, Chunking Strategy, Tokenization , Deployment.Spark and Alteryx

HR Recruiter, the core mission is to act as the bridge between a company's talent needs and the job market. The role involves a mix of marketing, psychology, and administrative precision.

We are hiring Software Developers for reputed IT companies. Candidates should have knowledge of software development, coding, debugging, and application maintenance. Freshers and experienced candidates both can apply.

As a Human Resource Executive, you will play a crucial role in supporting our HR functions and fostering a productive work environment. Your main responsibilities will include:- **Recruitment and Selection**: Manage the end-to-end recruitment process, from job postings to interviewing candidates, ensuring that we attract and select the best talent for our organization.- **Employee Onboarding**: Facilitate smooth onboarding for new employees, including orientation sessions and necessary paperwork, helping them integrate into the company culture.- **Performance Management**: Assist in implementing performance appraisal systems that provide feedback to employees and support their professional development.- **Employee Relations**: Address employee queries and concerns, promoting a positive work atmosphere by resolving conflicts and ensuring adherence to company policies.- **Training and Development**: Identify training needs and coordinate programs to enhance employee skills and knowledge, contributing to overall workforce competency.- **Administrative Support**: Maintain accurate HR records and documentation, handling payroll administration and compliance with labor laws.To excel in this role, candidates should possess effective communication and interpersonal skills, allowing them to build relationships within the organization. Strong organizational skills and attention to detail are essential for managing multiple tasks. Familiarity with HR software and processes will be an advantage. A proactive attitude and ability to work independently will help you succeed in this challenging yet rewarding position. Ideal candidates should hold any masters degree, including fields like MBA, M.Com, or M.Sc, and have up to six years of experience.

AI/ML Engineer - Full-Time (Remote US / New York, NY)LockedIn AI is hiring a production-minded AI/ML Engineer to design, build, and scale the intelligence systems powering our real-time AI copilot used by over 1M+ users worldwide.We are building the most advanced AI interview and meeting assistance platform, and this role sits at the core of our machine learning infrastructure. You will work across the full ML lifecycle-from data and model training to deployment, monitoring, and optimization in production environments.Role OverviewAs an AI/ML Engineer, you will own the end-to-end development of ML systems powering LockedIn AIs real-time assistant. This includes:Building and fine-tuning LLMs, NLP models, and speech systemsDesigning low-latency inference pipelines for real-time AI responsesDeveloping RAG (Retrieval-Augmented Generation) systemsCreating evaluation frameworks for continuous model quality improvementDeploying scalable ML services in production environmentsThis is a full-stack ML role where research meets real-world product engineering.Key Responsibilities1. Model Development & TrainingDesign and train ML models including LLMs, NLP systems, and speech-to-text modelsApply fine-tuning techniques such as LoRA, QLoRA, RLHF, and DPOBuild data pipelines for cleaning, labeling, and augmenting datasetsRun experiments, ablation studies, and performance benchmarking2. Production & Real-Time DeploymentBuild low-latency inference pipelines for streaming AI responsesDeploy models using Docker, Kubernetes, and CI/CD pipelinesManage multi-model routing across OpenAI, Anthropic, and open-source LLMsImplement fallback systems and graceful degradation strategies3. RAG & Intelligent SystemsDevelop retrieval-augmented generation systems with vector databasesBuild embeddings pipelines and semantic search systemsDesign prompt engineering frameworks and multi-turn AI workflowsCreate agentic systems using tool calling and function execution4. Evaluation & MonitoringBuild automated evaluation frameworks (LLM-as-judge, benchmarks, human eval)Monitor latency, hallucination rates, accuracy, and user feedback signalsDetect model drift and performance degradation in productionOptimize inference cost and token usage across providers5. Data Engineering & InfrastructureDevelop scalable data pipelines for training and inferenceImplement feature extraction from user interactions and logsMaintain dataset versioning and experiment tracking systemsCollaborate with engineering teams on ML infrastructure scaling6. Responsible AI & SafetyBuild safeguards against bias, harmful outputs, and prompt injectionEnsure privacy-first AI design and secure data handlingContinuously evaluate fairness, robustness, and model safetyRequired QualificationsExperience3+ years in ML engineering or AI systems developmentProven track record of deploying production ML systemsExperience working in fast-paced startup environmentsTechnical SkillsStrong Python + ML frameworks (PyTorch / TensorFlow / JAX)Deep understanding of transformers and deep learningExperience with LLM APIs (OpenAI, Anthropic, etc.)Familiarity with RAG systems and vector databasesDocker, Kubernetes, FastAPI, and CI/CD pipelinesCloud platforms (AWS / GCP / Azure)MindsetFull-stack ML ownership from idea productionStrong product thinking and user impact focusExcellent communication and collaboration skillsHigh ownership and execution speedPreferred QualificationsExperience with real-time AI or low-latency systemsKnowledge of model compression, quantization, or distillationExperience with agentic AI systems and tool-use architecturesBackground in AI safety, adversarial robustness, or securityExperience in consumer-scale AI or SaaS products (100K+ users)Compensation & Benefits $150,000 - $220,000 USD / year Meaningful early-stage equity Remote-first (US-based) with optional NYC hybrid High-impact role in a 1M+ user AI platform Fast-paced, AI-native engineering culture Ownership across the full ML stackWhy Join LockedIn AI?LockedIn AI is building a category-defining AI copilot that helps users perform better in live interviews, coding assessments, and professional communication scenarios.You will:Own the ML systems end-to-endWork with cutting-edge LLM and AI infrastructureShip real production models that impact millions of usersOperate in a fast-moving, AI-first product environmentHow to ApplyPlease submit:Resume / CVShort note explaining why you want to join LockedIn AIOptional: GitHub, portfolio, or technical writing samples(Bonus) Feedback on the product if youve used itEqual OpportunityWe are committed to building an inclusive and diverse team. Hiring decisions are based on merit, skills, and business needs.

Intelligent Automation Engineer role in Bengaluru! Hybrid, 20 LPA, immediate joiners only. Work with GenAI, LLMs, NLP, MLOps, Blue Prism, AWS & Python.

Located in the city center of Beijing, the College of Artificial Intelligence at Capital Normal University (Beijing) invites applications for full-time tenured faculty positions and research positions at all ranks (Professor /Associate Professor). We welcome applicants with research and/or teaching focus across a broad range of AI disciplines, including but not limited to:Machine Learning & Deep Learning Theory, Computer Vision (3D, Video, Generative AI, Multimodal), Natural Language Processing & Large Language Models, Data Mining & Databases, Generative AI and Creative Applications, Graph Learning & Knowledge Graphs, AI for Healthcare / Biology / Scientific Discovery, Autonomous Systems & Embodied AI, Trustworthy AI (Robustness, Fairness, Privacy), Efficient AI (Neural Architecture Search, Model Compression), AI for Science, Healthcare, and Sustainability, Electrical Engineering & Signal Processing, Neuromorphic & Brain-Inspired Computing.Successful candidates are expected to build an active research program, supervise graduate students, and contribute to undergraduate and graduate education.IDEAL PROFILES- PhD in Computer Science, ECE, Statistics, Mathematics, or a closely related field- Strong publication record at top venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, SIGIR, AAAI, IJCAI, IEEE/ACM Transactions, etc.)- Commitment to collaborative, rigorous academic research- Good academic ethics and professionalismHOW TO APPLY1. Curriculum vitae with full publication list2. PDF copies of 3-5 representative publications3. Research statementThis posting is open-ended and continuously accepting applications. There is no deadline - qualified candidates are welcome to apply at any time. Applications are reviewed on a rolling basis and candidates will be contacted as positions become available.Feel free to reach out before submitting a full application. We are happy to discuss fit, timeline, and compensation before you invest time in a formal submission.Capital Normal University is an equal opportunity employer. We particularly welcome applications from women and underrepresented groups in AI.

Role Overview Were hiring a Senior Data Scientist who can own end-to-end problem solving-from business discovery and hypothesis design to model deployment and post-production monitoring. You will partner with product, engineering, and client stakeholders to build production-grade ML/AI and GenAI solutions on AWS/Azure/GCP and mentor a small pod (2-5) of data scientists/ML engineers. Key Responsibilities Business & Problem Framing: Engage with client stakeholders to translate objectives into measurable DS/ML use cases, define success metrics (ROI, adoption, accuracy, latency), and create experiment plans. Data Strategy & Feature Engineering: Own data acquisition, quality checks, EDA, and feature pipelines across SQL/Spark/Databricks; collaborate with Data Engineering for robust ingestion and transformation (Airflow/dbt). Modeling: Build, tune, and compare models for supervised/unsupervised learning, time-series forecasting, NLP/CV, and GenAI (RAG, fine-tuning, prompt-engineering) using Python (pandas, NumPy, scikit-learn, XGBoost/LightGBM), PyTorch/TensorFlow, Hugging Face. MLOps & Deployment: Productionize via MLflow/DVC, model registry, CI/CD (GitHub/GitLab), containers (Docker/Kubernetes), and cloud ML platforms (SageMaker/Azure ML/Vertex AI). Expose services via FastAPI/Flask; implement monitoring for drift, data quality, and model performance. Experimentation & Causality: Design and analyze A/B tests, apply causal inference techniques (e.g., propensity scoring, DiD) to measure true impact. Explain ability, Fairness & Compliance: Apply model cards, SHAP/LIME, bias checks, PII handling, anonymization/pseudonymization, and align with applicable data privacy regulations (e.g., GDPR/DPDP). Visualization & Storytelling: Build insights dashboards (Tableau/Power BI/Plotly) and communicate recommendations to senior business and technical stakeholders. Collaboration & Leadership: Mentor juniors, conduct code and research reviews, contribute to standards, and support solutioning during pre-sales/POCs. Required Skills & Experience Experience: 7-10 years overall, with 5+ years in applied ML/Data Science delivering models to production for enterprise clients. Programming & Data: Expert Python, advanced SQL, and hands-on with Spark/Databricks. Strong software practices (testing, typing, packaging). ML/AI Stack: scikit-learn, XGBoost/LightGBM; PyTorch or TensorFlow; NLP (spaCy, Transformers, embeddings), vector DBs (FAISS/Pinecone), LangChain/LlamaIndex for RAG. Cloud & MLOps: Real-world deployments on AWS/Azure/GCP using SageMaker/Azure ML/Vertex AI; MLflow, model registry, feature store, Docker/K8s, and CI/CD. Experimentation & Analytics: A/B testing, Bayesian/ frequentist methods, causal inference, statistical rigor. Visualization & Communication: Storytelling with data; Tableau/Power BI/Plotly, executive-ready presentations. Domain Exposure (nice-to-have): BFSI risk/collections/CLV, retail demand/personalization, healthcare claims/clinical NLP, manufacturing quality/predictive maintenance. Bonus: Recommenders, time-series, graph ML, optimization (OR), reinforcement learning, geospatial analytics. Education & Certifications Bachelors/Masters in Computer Science, Data Science, Statistics, Applied Math, or related field. Preferred certifications: AWS/Azure/GCP ML, Databricks, TensorFlow or PyTorch.

We are seeking a skilled Mid-Level Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have strong experience in data processing, ETL development, and cloud-based data platforms, supporting data-driven decision-making across the organization.

Hiring Tech Trainers (1-2 Years Experience)Looking for passionate trainers inAI ML LLMs Python Java Cybersecurity SAP Power BI Robotics Freshers with 1-2 yrs experience welcome Flexible (Part-time / Weekend) Perks+ growth opportunitiesIf you love teaching & want to grow fast, Drop your resume now!

We are looking for Strategy Specialists to join our dynamic team in Hyderabad. This is a full-time work-from-home position, suitable for candidates with varying levels of experience, from recent graduates to those with up to six years in related roles.**Key Responsibilities:**- **Market Analysis:** Conduct thorough research to understand market trends and customer needs, helping to inform strategic decisions.- **Strategic Development:** Assist in formulating strategies to enhance business performance, focusing on growth and competitive advantage.- **Performance Monitoring:** Analyze the effectiveness of strategies and initiatives, ensuring that objectives are met consistently.- **Collaboration:** Work closely with various departments to align strategies with overall business goals and streamline processes.- **Reporting:** Create detailed reports and presentations that summarize findings and suggest actionable insights for management.**Required Skills and Expectations:**Candidates should have a Masters degree or Post Graduate Diploma in fields such as Business Administration, Law, Architecture, or Technology. Strong analytical skills are essential to evaluate data and develop insights. Excellent communication skills, both written and verbal, are necessary for effective collaboration and presentation. Basic knowledge of strategic planning processes is beneficial, along with a proactive attitude and the ability to work independently. Attention to detail and the ability to manage multiple tasks efficiently are also important for success in this role. We are especially looking for female candidates who are enthusiastic to contribute to our strategic initiatives.

We are looking for a highly capable AI Lead Engineer to contribute to the design and delivery of intelligent, scalable AI solutions. This role focuses on building production-grade systems involving LLMs, vector databases, agent-based workflows, and Retrieval-Augmented Generation (RAG) architectures on the cloud. The ideal candidate should demonstrate strong problem-solving abilities, hands-on technical skills, and the ability to align AI design with real-world business needs.Must-Have SkillsStrong coding ability in Python and proficiency in SQL.Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate).Practical experience with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows.Familiarity with LangChain, LlamaIndex, or similar orchestration tools.Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP).Experience building and optimizing RAG pipelines.Solid understanding of server less/cloud-native architecture and event-driven design.Integrate/expose the ai solution in applications using fastapi,flask,djangoPreferred or Good to Have SkillsExposure to agentic AI patterns and multi-agent coordination.Knowledge of AI system safety practices (e.g., hallucination filtering, grounding).Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML.Understanding of concept/data drift and retraining strategies in production.Experience working on AI projects involving classification, regression, and clustering models.Prior work on multi-modal AI pipelines (vision + language).Familiarity with real-time inference tuning (batching, concurrency).Demonstrated ability to deliver a variety of AI solutions in production environments across domains.Any Other:Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.Strong analytical mindset with a clear focus on business-aligned AI delivery.Excellent verbal and written communication skills.Key ResponsibilitiesCollaborate with the Solution Architect to design agentic AI systems (e.g., ReAct, CodeAct, Self-Reflective Agents).Build and deploy scalable RAG pipelines using vector databases and embedding models.Integrate modern AI tools (e.g., LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows.Optimize inference performance for cloud and edge environments.Contribute to the development of feedback loops, drift detection, and self-healing AI systems.Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP).Translate business use cases into robust technical solutions in collaboration with cross-functional teams.

GenAI Engineer - Job DescriptionLocation: NoidaJob Type: Full TimeExperience Level: 1-3 yearsJob SummaryWe are seeking a passionate and skilled GenAI Engineer to join our team and work on cutting-edge Generative AI applications. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. This role offers an excellent opportunity to build intelligent, scalable AI solutions and grow in the rapidly evolving field of Generative AI.You will be responsible for designing and implementing RAG pipelines, integrating LLMs into production systems, and optimizing AI-powered applications for real-world use cases.Key ResponsibilitiesHands-on experience with LLMs such as OpenAI GPT, Claude, Llama, or MistralStrong experience building end-to-end RAG pipelines (data ingestion, chunking, embeddings, retrieval, response generation)Expertise in LangChain / LangGraph for AI workflows, agents, and orchestrationExperience with Vector Databases (Pinecone, Qdrant, Weaviate, ChromaDB, FAISS)Strong Prompt Engineering and optimization techniquesProficiency in Python with backend development using FastAPI/DjangoExperience integrating LLM APIs into scalable applicationsUnderstanding of embeddings, NLP concepts, semantic search, and data preprocessingExperience working with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) databasesMLOps, aws sagemaker, redis, DBMS, distributed systems, microservicesRAG, graph rag, langraph, vector dbs like neo4j, milvus, qdrantGood to HaveExperience with model fine-tuning and training custom modelsKnowledge of LangSmith or other LLM observability toolsUnderstanding of token optimization and cost management for LLM applicationsExperience with streaming responses and async processingFamiliarity with Docker and containerizationExposure to cloud platforms (AWS, Azure, or GCP) for AI deploymentExperience with CI/CD pipelinesKnowledge of MLOps practices and model versioningUnderstanding of AI safety, ethics, and responsible AI principlesExperience building conversational AI agents or chatbotsFrontend integration experience (React, Vue, or Angular)EducationBachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related fieldRelevant certifications in AI/ML or LLM technologies are a plusWhat We OfferCompetitive salary and benefits packageOpportunity to work on cutting-edge Generative AI projectsCollaborative and innovative work environmentExposure to latest LLM technologies and frameworksCareer growth and continuous learning opportunitiesFlexible work arrangementsMentorship from experienced AI practitioners

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world business problems.Key ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models.Design and implement AI solutions for automation, prediction, and data analysis.Work with large datasets to clean, preprocess, and engineer features.Deploy models into production environments and monitor performance.Build scalable ML pipelines and integrate models with applications.Conduct experiments, model evaluations, and performance tuning.Collaborate with cross-functional teams including data engineers and product managers.Stay updated with the latest research and advancements in AI/ML.Note: Only Pune-based candidates can eligible to apply.

AI Developer (Agentic AI Frameworks, Computer Vision & LLMs)Dear Candidate.Greetings from 3 Kubed Consulting India Pvt Ltd.!!We are seeking a highly skilled and experienced AI Developer (Agentic AI Frameworks, Computer Vision & LLMs) for one of our prestigious clients for Bangalore location. The brief JD is as below. EXP: 3+ years REL EXP: 3+ YRS Location: Bangalore NP: Ideally Immediate, max 30 days Interview: 2/3 virtual rounds, one python coding round Work mode: REMOTE Employment Mode: PMT with CAIOur client is seeking an AI Developer who specializes in agentic AI frameworksLangChain, LangGraph, CrewAI, or equivalentsand who can take both vision and language models from prototype to production. You will lead the design of multi agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end to end deep learning life cycle (training, scaling, deployment, and monitoring).Key ResponsibilitiesAgentic AI Frameworks (Primary Focus): Architect and implement multi agent workflows using LangChain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision making, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability).Image Classification & Extraction: Build and fine tune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable data ingestion, labeling, and augmentation pipelines.LLM Fine Tuning & Retrieval Augmented Generation (RAG): Fine tune open weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain specific adapters.Deep Learning at Scale: Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI.MLOps & Production Excellence: Build robust APIs/micro services (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning.Collaboration & Mentorship: Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices.Minimum Qualifications: B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git. Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable). Proven delivery of computer vision models for image classification/extraction. Hands on experience fine tuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization.With regards,For 3 Kubed Consulting India Pvt Ltd

Job Title: AI ML Internship Company : FinVise AI Tech Pvt LtdLocation: Nagpur (In-office)Type: Full-time InternshipAbout FinVise AI Tech Pvt LtdFinVise is an AI-powered, next-generation FinTech ecosystem transforming how individuals and businesses understand, manage, and grow their money.We are building an integrated financial platform that combines personal finance education, investment analysis, goal-based planning, taxation assistance, and AI-driven financial guidance. Our mission is to make finance simple, intelligent, and accessible through technology, automation, and data-driven insights.The platform leverages conversational AI, modern UI/UX, and intelligent workflows to deliver seamless financial experiences across assets including equities, mutual funds, digital assets, and emerging financial instruments.What youll work on :Develop and integrate AI chatbots across multiple application screensImplement AI-powered workflows within mobile and web applicationsBuild and improve NLP-based conversational systems for smarter user interactionsIntegrate AI APIs into mobile and web platformsOptimize chatbot responses for accuracy, relevance, and performanceCollaborate with product and engineering teams to enable AI capabilities across all app pagesContribute to scalable, AI-driven features powering FinVise productsYoull be a great fit if you have :Strong foundation in Python and backend developmentUnderstanding of Machine Learning and Natural Language Processing (NLP)Experience integrating REST APIsFamiliarity with OpenAI API or similar AI servicesKnowledge of integration testingSelf-learning mindset and ability to work in a fast-paced environmentInterest in building production-grade AI systemsEligibility Criteria:Available for a full-time, in-office internship in NagpurCurrently pursuing or recently completed Computer Science, AI/ML, Data Science, or related fieldsPrior experience with chatbots, AI APIs, or NLP projects is a plusWhat youll get:Certificate of completionLetter of recommendationFlexible work hours5-day work weekOpportunity for full-time job offer upon successful performance

Job Title: QA Automation Engineer Experience Level: 3.65.5 Years About the Role We are looking for a Quality Assurance Engineer specializing in Large Language Models (LLMs) to ensure the accuracy, reliability, and performance of AI-driven applications. The ideal candidate has a strong understanding of how LLMs interact with data pipelinescovering indexing, chunking, embeddings, cosine similarity and keyword search along with hands-on experience in LLM observability, prompt evaluation, and QA automation. Key Responsibilities Design and execute QA strategies for LLM-based and search-driven products. Validate data pipelines involving indexing, chunking, embeddings, cosine similarity and keyword search. Evaluate retrieval-augmented generation (RAG) and recommendation system quality using precision, recall, and relevance metrics. Develop prompt test suites to measure LLM accuracy, consistency, and bias. Monitor LLM observability metrics such as latency, token usage, hallucination rate, and cost performance. Automate end-to-end test scenarios using Playwright and integrate with CI/CD pipelines. Collaborate with ML engineers and developers to improve model responses and user experience. Contribute to test frameworks and datasets for LLM regression and benchmark testing. Required Skills & Experience 4+ years of experience in QA engineering, with at least 1+ year in GenAI or LLMbased systems. Strong understanding of indexing, chunking, embeddings, similarity search, and retrieval workflows. Experience with prompt engineering, LLM evaluation, and output validation techniques. Proficiency with Playwright, API automation, and modern QA frameworks. Knowledge of observability tools for LLMs Solid scripting experience in Python. Knowledge of different LLM providers (OpenAI, Gemini, Anthropic, Mistral, etc.) Exposure to RAG pipelines, recommendation systems, or model performance benchmarking. Strong analytical and debugging skills, with a detail-oriented mindset.

Job Title: AI Computer Science Engineer (Prompt Engineering & Client Support)Company: DrytisType: Remote Contract Position (Independent Contractor)Compensation: $4.28 $17.15 per hour (based on experience and performance)About DrytisDrytis is a forward-thinking technology company specializing in AI-powered coding solutions that bridge the gap between clients and technology. Were building a dynamic, on-demand engineering platform that delivers immediate, expert software engineering support to help clients complete the last mile of their application development.We thrive on innovation, agility, and real-world problem-solving. Our team of AI and software specialists works directly with clients to provide hands-on technical guidance and coding support in a cloud-based development environment.Role OverviewAs an AI Computer Science Engineer at Drytis, you will play a key role in providing direct technical support and AI-driven development assistance to clients using our Vibe Coding platform. This role blends deep AI expertise with practical coding, debugging, and client collaboration.You may engage in live pair programming sessions, perform hands-on debugging, or help clients complete software projects in real time. You will be expected to move fluidly between coding, prompt engineering, and direct client interaction, while communicating clearly and confidently with primarily English-speaking clients.ResponsibilitiesEngage with clients in live or asynchronous sessions to provide coding support and project guidance.Apply advanced prompt engineering and AI development techniques (including extensive use of AI coding applications and tools) to enhance client workflows.Debug, refactor, and complete application features across various software stacks.Collaborate via remote, cloud-based development tools and shared workspaces.Maintain detailed documentation of client sessions, tasks, and resolutions.Contribute to process improvement initiatives and platform optimization feedback loops.QualificationsDegree in Computer Science, AI, or a related field (or equivalent practical experience).Strong command of Python, JavaScript, or other common programming languages.Hands-on experience with prompt engineering, LLMs, and AI-assisted coding tools, with extensive daily use of AI coding applications.Proven full-stack application deployment experience (front-end, back-end, and production environments).Exceptional English communication skillsverbal and writtenare absolutely required.Strong problem-solving skills and excellent attention to detail, especially in client-facing and production-critical scenarios.Familiarity with cloud-based IDEs, version control (e.g., Git), and API integrations.Strong UX/UI design and product experience are highly favorable.Reliable internet connectivity with access to multiple providers for redundancy and uninterrupted client sessions.Comfortable working independently in a remote, fast-paced environment.What Makes This Role UniqueFully remote & flexible: Work from anywhere, on your schedule. You design your working hours around your life.You choose your clients: Pick the clients and projects you want to work with, based on your interests and strengths.Empowered by AI: Work with cutting-edge AI technologies, using and pushing the limits of the most advanced AI coding tools to make them do backflips and deliver exceptional outcomes for clients.High-impact, client-facing work: Every session is hands-on, fast-paced, and collaborative; your thinking, speed, and clarity directly help clients ship their products.Built for elite communicators: Success here means you can think fast, communicate incredibly well, and genuinely enjoy helping clients get their applications into production.How to ApplyInterested candidates should submit:An up-to-date resume.A brief note outlining relevant experience with AI coding tools, full-stack deployment, client-facing work, and why this role interests you.We look forward to connecting with you and exploring how you can contribute to Drytis and our clients success.You may also refer your friends

Detail-oriented and result-driven Finance & Accounts professional with proven expertise in GST,TDS, TCS compliance, reconciliations, and regulatory documentation. Adept at managing end-toend accounting operations, vendor/client communication, and Skilled in leveraging Tally ERP.

Handling GST Billing with E-Invoice & E-Way Bill. Handling ASN & Mapping RFID Tag. Posting of Raw Materials, All Expenses, Assets, Payments, Receipts & General Vouchers. Handling & Controlling Accounts Receivable (AR). Handling & Controlling Accounts Payable (AP). Handling HDFC Internet Banking (CMS Facility for Corporate) Maintain Bank, Cash Book, Sales Register & Purchase Register. Cash And Bank Reconciliation. Issue Credit Note & Debit Note. Handling Debit & Credit Note against Sale/Purchase Return. Complete Sale And Purchase Order treatment in Tally Prime. Calculation of interest on overdue bills (Payable/Receivable). Calculation of Depreciation on Assets. Vendor And Customer reconciliation on quarterly & yearly basis. File Return of GSTR 1, GSTR 3B & DRC-03. File Return of TDS & TCS ( Form - 24Q, 26Q & 27EQ ) through Comtax Software Reconciliation of GSTR 2A & GSTR 2B. Yearly GST account Reconciliation for GSTR 9 & GSTR 9C. Preparation of Financial Statements (Trading, P&L & Balance Sheet). Handling Salary, ECR, PF Challan, ESI Challan, Deposit GST, Income Tax, EPF, ESI. Prepare data for GST, Service Tax ,TDS , TCS. File Returns for EXCISE, SERVICE TAX , VAT & CST.

HR Function Key ResponsibilitiesTalent Acquisition (Recruitment) Screening resumes, conducting initial interviews, coordinating with hiring managers, and managing the end-to-end selection process.Employee Relations & Culture Acting as a bridge between management and employees, resolving minor workplace grievances, and promoting a positive work environment and culture.Compliance & Administration Maintaining accurate employee records and databases, ensuring adherence to local labor laws and regulations, and managing documentation (e.g., contracts, offer letters).Compensation & Benefits Assisting with payroll processing, managing leave and attendance records, and communicating employee benefits and compensation packages.Training & Development (L&D) Identifying employee training needs, coordinating external trainers, and supporting internal learning and development programs.Performance Management Assisting in the implementation of the performance appraisal cycle (e.g., quarterly or annual reviews) and tracking employee performance.