LLM Jobs

We are looking for a Senior AI Engineer based in Chennai with 3 to 8 years of experience. As an AI Engineer, you will play a crucial role in developing and implementing artificial intelligence solutions to enhance our projects.Key Responsibilities:- Design and Develop AI Models: You will create, test, and implement machine learning models tailored to meet specific project requirements, ensuring they function efficiently.- Data Analysis: Analyzing large datasets to extract insights and patterns will be a key part of your job. This helps in refining models and driving project success.- Collaboration: Working closely with cross-functional teams such as data scientists and software engineers will be essential to integrate AI solutions effectively.- Performance Evaluation: Regularly assessing the performance of AI models and making necessary adjustments to improve efficiency and accuracy is expected.- Documentation: You will be responsible for documenting processes, models, and methodologies to ensure knowledge sharing and continuity within the team.Required Skills and Expectations:Candidates should hold a diploma and have practical experience in artificial intelligence and machine learning. Strong programming skills in languages like Python or R are crucial. Candidates should be comfortable working in an office setting and be able to communicate effectively with team members. A proactive approach to problem-solving and the ability to adapt to new technologies will help you succeed in this role. Familiarity with AI frameworks and tools is highly desirable.

Were looking for a strong Data Scientist with hands-on development capability (Python, FastAPI, OOPs), solid GenAI and LLM experience, and the ability to work end-to-end on GCP/Azure/AWS based ML solutions including deployment, APIs, and CI/CD. Key Responsibilities Build, train, and optimize ML and GenAI models (RAG, embeddings, LLM integrations) Develop production-grade services using Python + FastAPI Deploy ML workloads on GCP/Azure/AWS Design scalable APIs and lead API integrations Contribute to Cloud Migration and ML platform modernization Implement CI/CD for ML pipelines and microservices Apply OOPS principles for clean, modular design Work collaboratively with Product, Data Engineering, and Infra teams Must-Have Skills Strong hands-on Python GenAI / LLM development FastAPI CI/CD (Jenkins / GitHub Actions) API Development & API Management Solid OOPS fundamentals GCP/Azure/AWS Nice-to-Have Docker / Kubernetes Vector DBs (Pinecone / FAISS / Chroma) Terraform / IaC

Assist in due diligence and verification of property and land-related documents.Liaise with relevant government departments and authorities whenever required.Ensure that legal documentation and organizational activities are handled in accordance with applicable laws and regulations.Provide timely updates to management regarding the status of legal matters and identify potential legal risks.Perform any other legal responsibilities assigned by senior management.

Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Build and optimize data ingestion processes from multiple structured and unstructureddata sources. Develop robust data models and data warehouses for analytics and reporting. Design and optimize SQL queries for high-performance data processing. Build and maintain data lakes using cloud storage solutions. Implement data validation, cleansing, transformation, and quality checks. Integrate data solutions with cloud platforms such as AWS, Azure, or Google CloudPlatform. Develop batch and real-time data processing pipelines using modern data processingframeworks. Collaborate with data scientists, analysts, and application teams to deliver reliable datasolutions. Follow software engineering best practices, including Git, CI/CD pipelines, testing,monitoring, and technical documentation.Required Skills 5+ years of experience in Data Engineering. Strong programming experience in Python. Hands-on experience with PySpark and Apache Spark. Advanced SQL skills, including query optimization and performance tuning. Experience with AWS services/ Azure/ GCP. Experience building scalable ETL/ELT pipelines. Strong exp in Generative AI and Large Language Models (LLMs) Knowledge of data warehousing concepts and dimensional modeling. Experience working with large-scale distributed datasets. Familiarity with Git and CI/CD pipelines. Understanding Agile/Scrum methodologies.Preferred Qualifications Experience with Apache Airflow or similar workflow orchestration tools. Knowledge of Kafka and real-time data streaming. Familiarity with Docker, Kubernetes, and Terraform (IaC). Exposure to Databricks and modern data lake technologies (Delta Lake, Apache Iceberg,or Apache Hudi). Understanding data governance, metadata management, and CI/CD practices. Strong exp in Generative AI and Large Language Models (LLMs) Strong analytical, problem-solving, and communication skills.Qualifications Bachelor's degree in computer science, Information Technology, Engineering, or relatedtechnical discipline.

As a Legal Executive, you will play a vital role in supporting the legal department and ensuring compliance with laws and regulations. Your primary responsibilities will include:- Drafting Legal Documents: Prepare and review contracts, agreements, and other legal documents to ensure they are accurate and comply with legal standards.- Conducting Legal Research: Perform thorough research on relevant laws, regulations, and case precedents to support the team in legal matters and ensure informed decision-making.- Assisting with Case Management: Help organize and manage legal cases, including filing documents, organizing evidence, and maintaining legal records, to facilitate smooth case progression.- Attending Court Hearings: Support legal professionals in court by preparing documents, taking notes, and assisting with case presentation as needed.- Liaising with Clients: Communicate with clients to gather necessary information, provide updates, and maintain positive relationships, ensuring they feel well-informed and supported.- Maintaining Compliance: Monitor changes in laws and regulations to ensure the organization remains compliant, and assist in implementing necessary changes in policies or practices.To succeed in this role, you should have a Bachelors degree in Law (LLB) with an LLM and 1-3 years of relevant experience. Strong analytical and research skills are essential, along with attention to detail and the ability to work independently and collaboratively. Excellent communication and interpersonal skills will be crucial for effectively interacting with clients and colleagues.

As an AI Engineer in Pune, you will be responsible for developing and implementing AI models and algorithms to solve complex problems. You will work closely with cross-functional teams to create innovative solutions that enhance the company's products and services.Key Responsibilities:- Develop AI Models: Create and deploy machine learning models that meet project requirements, utilizing frameworks like TensorFlow or PyTorch.- Data Analysis and Processing: Analyze large datasets to extract insights and preprocess data to ensure it is suitable for training AI models.- Collaborate with Teams: Work with software engineers and data scientists to integrate AI solutions into existing systems, ensuring seamless functionality.- Performance Tuning: Regularly evaluate the performance of AI models and tune them for better accuracy and efficiency based on feedback and evolving data.- Stay Updated on Trends: Keep abreast of the latest developments in artificial intelligence and machine learning to continually improve processes and techniques.Required Skills and Expectations:- A bachelor's or master's degree in Computer Science, Data Science, or a related field is essential.- A minimum of 3 to 5 years of experience in AI or related fields, demonstrating a strong understanding of machine learning concepts.- Proficiency in programming languages such as Python or Java, along with experience in machine learning libraries and tools.- Strong analytical skills with the ability to interpret data and provide actionable insights.- Excellent communication skills to explain complex AI concepts to non-technical stakeholders and collaborate effectively with teams.

Job descriptionDraft, review, and negotiate legal documents such as sale deeds, lease agreements, MOUs,Conduct due diligence, title verification, and manage property registration processesEnsure legal compliance with RERA, municipal, and other regulatoryRequired Candidate profileRepresent the company in legal proceedings and coordinate with external legal counsel as required.

Job summaryEnter, verify and maintain accurate product, inventory and sales records for Waldenbooks retail operations. Support daily store functions by ensuring databases and spreadsheets reflect current stock, pricing and customer order information.Key responsibilitiesData entry: Accurately input product SKUs, titles, prices, quantities and vendor information into inventory and POS databases.Inventory reconciliation: Compare physical counts with system records; record adjustments and create discrepancy reports.Order processing: Enter purchase orders and supplier invoices; track order status and update expected delivery dates.Customer records: Update customer accounts, gift registry entries and special-order details.Quality control: Proofread data for accuracy; run validation checks and correct errors promptly.Reporting: Prepare daily/weekly sales and inventory reports for store management.Archiving: Maintain digital and paper records, ensuring compliance with company retention policies.Cross-functional support: Assist store staff with POS issues, returns recording, and periodic audits.

1. Legal Representation & Advocacy.2. Represent in cases before courts, tribunals, or forums.3. Draft and argue pleadings in courts.4. Legal Advisory & Consultation.5. Provide legal opinions and strategic advice to on matters such as contracts, governance and compliances, and disputes.6. Interpret laws, regulations, and judicial precedents to guide in legal decision-making.7. Assist in regulatory compliance, contracts, intellectual property, mergers & acquisitions, and employment laws.8. Contract Drafting & Documentation9. Draft, review and negotiate contracts, agreements, trust deeds etc.

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.

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 Data Scientist with 3 to 5 years of experience to join our team in Pune. The ideal candidate will be responsible for analyzing complex data sets to help drive business strategies and decisions.- Data Collection and Preparation: Gather and clean large data sets from various sources. This involves ensuring that the data is accurate and ready for analysis.- Data Analysis: Use statistical methods to interpret data and identify trends. This will help the business understand patterns and make informed decisions.- Model Development: Build predictive models using machine learning techniques. The models will be used to forecast outcomes and enhance business strategies.- Visualization: Create visual representations of data findings. Use tools and software to present data in a clear and engaging way to stakeholders.- Collaboration: Work closely with cross-functional teams, including engineers and business analysts. This collaboration is essential for integrating data insights into projects and strategies.- Continuous Learning: Stay updated with the latest data science trends and tools. This will ensure that the application of methods and technologies remains relevant and effective.The ideal candidate should possess strong programming skills in languages such as Python or R, experience in working with databases, and proficiency in statistical analysis. Strong problem-solving skills, attention to detail, and effective communication abilities are crucial for conveying complex data insights to non-technical audiences. A passion for data-driven decision-making and a proactive approach to challenges are expected.

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.

ML Engineer**Experience:** 6-8 Years**Engagement:** C2C**Location:**Bangalore## Role OverviewWe are looking for an experienced **ML Engineer** with strong expertise in **Python, Machine Learning, Generative AI, Agentic AI, and Microsoft Azure**. The ideal candidate will have hands-on experience building and deploying machine learning models and AI agents, developing scalable ML pipelines, and orchestrating agentic workflows using Azure Data and AI platforms.## Key Responsibilities* Develop and maintain scalable **machine learning pipelines** and integrate them with **Azure ML**.* Design and implement **agentic AI workflows** and intelligent AI agents using LLMs, planning, and decision-making frameworks.* Build, deploy, and optimize machine learning models using **TensorFlow, PyTorch**, or similar frameworks.* Design secure, scalable, and production-ready AI agent architectures for cross-platform applications.* Work extensively with **Microsoft Azure**, including **Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Build and experiment with **Generative AI models, LLMs, and agentic workflows**.* Implement AI agent **safety, guardrails, evaluation, and monitoring mechanisms**.* Improve agent performance through feedback loops, reinforcement learning, and user interaction analysis.* Collaborate across backend, ML pipeline, and frontend teams to deliver end-to-end AI solutions.* Support deployment architecture, model serving, monitoring, and productionization of AI systems.* Conduct research and performance evaluation to improve agent conversation, decision-making, adaptability, and reliability.* Rapidly prototype and iterate on AI solutions in a startup-style environment.* Collaborate with senior engineers and researchers to deliver production-grade AI systems.## Required Qualifications* 6-8 years of experience in **Machine Learning / AI Engineering**.* Strong programming skills in **Python**.* Hands-on experience with **TensorFlow, PyTorch**, or equivalent ML frameworks.* Proven experience developing and deploying **machine learning models and AI agents**.* Strong hands-on experience with **Generative AI, LLMs, and Agentic AI**.* Strong expertise in **Microsoft Azure** and Azure AI/Data platforms.* Experience with **Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Experience with **ML pipelines, deployment architecture, and production AI systems**.* Understanding of AI agent orchestration, evaluation, safety, and guardrails.* Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.## Good to Have* Experience with **reinforcement learning and agent feedback mechanisms**.* Experience building AI solutions for **security or enterprise applications**.* Knowledge of LLM evaluation, prompt engineering, RAG, and model optimization.* Experience working across backend services, APIs, and frontend integrations.## Key Skills**Must Have:** Python Azure ML GenAI/LLM Agentic AI TensorFlow/PyTorch Azure Databricks/Fabric/AI Foundry ML Pipelines AI Agent Deployment**Good to Have:** Reinforcement Learning RAG Prompt Engineering AI Safety & Guardrails LLM Evaluation

We are seeking a knowledgeable and experienced GenAI Engineer to join our team in Bangalore. The ideal candidate will have between 8 to 12 years of experience in artificial intelligence.Key Responsibilities:- Develop AI Models: Design, implement, and optimize AI models to solve complex problems and improve business processes.- Data Analysis: Analyze large datasets to extract meaningful insights that can drive decision-making and improve model performance.- Collaboration: Work closely with cross-functional teams to understand requirements, share progress, and align AI projects with business goals.- Performance Monitoring: Continuously monitor AI models and algorithms to ensure effectiveness, making adjustments as necessary to enhance performance.- Research: Stay updated with the latest trends in AI and machine learning, applying new methods and technologies to current projects for innovation.- Documentation: Create and maintain thorough documentation of models, algorithms, and processes to ensure clarity and reproducibility.Required Skills and Expectations:The ideal candidate should have a strong background in machine learning frameworks such as TensorFlow or PyTorch, as well as proficiency in programming languages like Python or Java. Experience in data manipulation tools like SQL and familiarity with cloud platforms, such as AWS or Azure, is essential. Excellent problem-solving skills, the ability to work on multiple projects simultaneously, and effective communication skills are crucial for success in this role. A deep understanding of algorithms and statistical analysis will be highly valued. Candidates should be proactive learners, eager to adapt and grow in the evolving field of AI.