LLM Engineer Jobs

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.

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.

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.

Role OverviewWe are seeking a highly skilled Machine Learning Engineer with 4+ years of experience to bridge the gap between Generative AI and actionable business intelligence. The ideal candidate will be responsible for optimizing Large Language Model (LLM) performance and developing advanced clustering models for customer and product segmentation.Location : Shollinganallur , ChennaiKey ResponsibilitiesLLM Optimization & EvaluationOptimize accuracy and reduce latency of LLM-powered applicationsDesign and implement robust LLM evaluation frameworksWork with LLM APIs and integrate them into production workflowsAdvanced Analytics & ModelingDevelop clustering models for customer and product segmentationIncorporate complex business logic into ML modelsApply statistical and machine learning techniques to derive actionable insightsData Engineering & OrchestrationBuild and maintain scalable data pipelines using SQLDevelop and manage Python-based DAGs (e.g., Airflow)Ensure efficient data processing and workflow automationTechnical RequirementsMandatory SkillsStrong experience in LLM EvaluationHands-on expertise in Clustering TechniquesAdvanced proficiency in SQLExperience building Python-based DAGs (Airflow or similar tools)Experience working with LLM APIsPreferred (Bonus) SkillsExperience in self-hosting and fine-tuning LLMsKnowledge of Time Series ForecastingExperience in Dimension Reduction techniquesFamiliarity with Market Basket AnalysisHands-on experience with Spark and Alteryx

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

Role: GenAI Full Stack EngineerFulltimeWork Location: RemoteJob Description: Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. Specific expertise in implementing and managing large language models (LLMs) is a must. Fast API experience for API development A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. We also need proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform, along with advanced CI/CD practices.

Role Overview:InnovaPoint is seeking a dynamic Senior AI Engineer to lead the development and deployment of cutting-edge AI solutions. This role is ideal for a self-driven technologist with deep expertise in AI/ML and a passion for building intelligent systems such as AI chatbots, agents, automation tools, and recommendation engines.You will be responsible for transforming business challenges into scalable AI solutions while also supporting strategic conversations about how AI can reshape services and operations.Responsibilities: Design, build, and deploy AI/ML models, AI chatbots, and custom AI agents Work with LLMs (OpenAI, Anthropic, Mistral) and frameworks like LangChain or LlamaIndex Develop prompt engineering and RAG-based solutions using vector databases Integrate AI capabilities into web applications, internal tools, and client platforms Optimize and monitor model performance in production environments Collaborate with frontend/backend developers and DevOps for AI solution delivery Research and experiment with the latest in GenAI, NLP, and multimodal AI systems Maintain AI best practices, documentation, and model version controlRequired Skills: Strong programming skills in Python and experience with AI/ML libraries (Transformers, PyTorch, TensorFlow) Hands-on experience with GenAI APIs (OpenAI, Claude, etc.) Solid grasp of LLMs, chatbot architectures, RAG pipelines, and embedding models Experience deploying models in cloud environments (AWS/GCP/Azure) Knowledge of vector stores, memory modules, and LLM app frameworks Bonus: familiarity with Streamlit, Gradio, or other rapid AI prototyping toolsQualifications: B.Tech/M.Tech/MCA in Computer Science, AI, Data Science, or related field 4+ years of software development experience, with 5+ years focused on AI/ML/GenAI

Job Opening: Generative AI & LLMs / Distinguished Gen AI Engineer Location: Remote Experience: 7+ yearsShare your profilestosandhya@welkinsofttech.com To apply, send your profile to sandhya@welkinsofttech.com / hr@welkinsofttech.com or connect with us here. Key Responsibilities:LLM Development: Design, fine-tune, and implement large language models (e.g., GPT, BERT, T5) for applications like personalized learning, content generation, and semantic search.Generative AI Solutions: Drive innovation with Gen AIdeveloping tools like adaptive learning paths, resume builders, and AI-written job descriptions.Machine Learning: Create predictive models and recommendation engines that align user profiles to skills and job opportunities.Token Optimization: Work with OpenAI and other services to manage token efficiency and usage costs.AI Integration: Collaborate with product and engineering teams to integrate AI features seamlessly into the Elefy platform.Data Engineering: Build and maintain robust data pipelines using Python, Node.js, and MongoDB.Data Analysis: Analyze large datasets to surface actionable insights for user engagement and platform growth.Visualization & Reporting: Build dashboards using Tableau, Power BI, or Matplotlib to communicate insights to stakeholders.Documentation: Ensure clear and comprehensive documentation for models, pipelines, and workflows. Who Were Looking For:Experience:8+ years in data science or AI, with 3+ years hands-on with LLMs or Gen AI in production settings.Proven track record of delivering ML models in scalable, real-world applications.Skills:Languages: Python (must), R, SQLFrameworks: PyTorch, TensorFlow, Hugging Face, Scikit-learnPrompt Engineering: Few-Shot Learning, Dynamic Prompting, Role Play, Chain-of-Thought (nice to have)Cloud: Azure (preferred), AWS, or GCPDatabase: MongoDB or similar NoSQL/SQL systemsKnowledge & Tools:Deep NLP & LLM expertise (e.g., GPT, BERT, T5, etc.)Containerization, APIs, CI/CD, and Azure-native cloud toolsStrong visual storytelling via Tableau, Power BI, or Python-based plotsAgile & cross-functional collaboration mindset Bonus Points:Experience with ethical AI, bias mitigation, and explain abilityFamiliarity with skill-based learning platforms or EdTech ecosystemsJoin us at Elefy and be part of a team thats reshaping the future of learning with AI.

AI Engineer @ ContactPoint 360Role Objectives- Design and implement advanced conversational AI solutions- Develop intelligent agent assist features- Optimize real-time natural language understanding and generation- Enhance customer interaction quality through AI technologiesKey Responsibilities- Design and develop machine learning models for intent recognition- Create context-aware dialogue management systems- Implement real-time inference optimization techniques- Build robust natural language understanding pipelines- Develop and maintain speech recognition and synthesis components- Conduct performance testing and model evaluation- Collaborate with product and engineering teamsRequired Technical Skills- Advanced proficiency in Python- Deep learning frameworks (TensorFlow/PyTorch/JAX)- Natural Language Processing techniques- Machine learning model development- Real-time system design- Experience with transformer models- Knowledge of dialogue systems architecture- Knowledge of distributed training strategies- Knowledge of model compression techniquesTechnical CompetenciesExpertise in:- Conversational AI- Machine Learning- Speech recognition- Intent/entity extraction- Context tracking- Dynamic response generationPreferred Background- Bachelor's or Master's in Computer Science, AI, Computational Linguistics- 2-5 years professional experience in conversational AIPreferred Qualifications- Published research or significant contributions in NLP/AI domainsSoft Skills- Strong problem-solving abilities- Excellent communication skills- Collaborative team player- Innovative thinking- Adaptability in rapidly evolving AI landscape

Senior LLM Engineer Remote Option Full Time 1. Sr LLM Engineer1. 7 to 12 years of professional experience in building Machine Learning models & systems/ software Engineer background and moved to LLM for last 3-4yrs2. 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.3. Experience in driving the engineering team toward a technical roadmap.4. Experience in programming skills in Python, Langchain and SQL is a must.5. Understanding of Cloud services, including Azure, GCP, or AWS6. Excellent communication skills to effectively collaborate with business SMEsSkill Set Details LLM Generative AI Machine Learning Cloud Technology Python RAG Langchain SUBMISSION DetailsCurrent SalaryExpected SalaryNotice Period / Immediate JoinerCurrent LocationReason for Job Change Any offers in HandLinkedIN ID Skill Set Details ThanksVenkat SankaranSenior Human Resource ManagerPROTOMINDS SOFTWARE SOLUTIONS PVT LTD https://www.protominds.com/

We are looking for a highly skilled Senior Python Backend Engineer with deep expertise in FastAPI, who is passionate about building scalable AI backend applications and streaming APIs. You will play a key role in leading development and taking our product to market in a fast-paced, startup environment.Key Responsibilities: Design and develop scalable backend systems using FastAPI Build and deploy LLM-based applications using tools like LangGraph and LangChain Work with Vector Databases for semantic search and retrieval Implement and maintain streaming APIs for real-time AI applications Own CI/CD pipelines and ensure smooth deployment Collaborate with cross-functional teams and communicate technical concepts clearly Lead and mentor developers; contribute to product roadmapMust-Have Skills: Expert in Python and FastAPI Strong experience with LLMs and vector databases Proficient in SQL Familiarity with CI/CD workflows Comfortable leading development and working in Agile/startup environments Excellent communication and stakeholder management skillsNice-to-Have: Experience with Cursor IDE Knowledge of AI frameworks and infrastructure best practices

Responsibilities: Research, design, and develop LLM-based models and algorithms to solve real-world challenges. Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to understand requirements and develop innovative solutions. Explore and implement state-of-the-art techniques in LLM, NLP, and machine learning to improve model performance and efficiency. Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality results. Optimize LLM models for scalability, speed, and resource efficiency to meet production requirements. Stay updated with the latest advancements in LLM, NLP, and machine learning research and integrate relevant findings into our projects. Contribute to the development of best practices, guidelines, and documentation for LLM development and deployment. Develop and fine-tune Language Models (LLMs) to improve performance and accuracy. Collaborate with research teams to understand project requirements and develop custom LLM solutions. Implement and optimize LLM architectures for specific use cases and applications. Stay up to date with the latest advancements in LLM research and technology. Write clean, efficient, and maintainable code for LLM development projects. Conduct testing and debugging to ensure the quality of LLM implementations. Document code, processes, and best practices for LLM development.

building LLM real-life applications using python and different LLM providers

Design, develop, and test prompts to optimize performance of large language models (LLMs) across healthcare use cases. Collaborate closely with AI researchers, product managers, and healthcare domain experts to define prompt requirements that align with clinical workflows. Continuously refine prompts based on testing, real-world performance, and end-user feedback to improve model accuracy, contextual relevance, and user satisfaction. Develop libraries of reusable, modular prompts for common healthcare tasks like summarizing clinical notes, generating reports, and providing diagnostic suggestions. Analyze the behavior of AI outputs, identify edge cases, and troubleshoot inaccuracies to improve system reliability. Ensure prompts adhere to industry-specific compliance standards, such as HIPAA, and support secure handling of sensitive healthcare data. Document prompt designs, iterations, and testing outcomes to build a robust knowledge base for continuous improvement. Stay current with advancements in LLMs, NLP, and AI techniques, particularly as they apply to healthcare challenges.Requirements: Bachelors or masters degree in computer science, Artificial Intelligence, Linguistics, Healthcare Informatics, or a related field. Relevant experience may substitute for formal education. 2+ years of experience working with NLP, large language models (e.g., GPT, Claude, etc.), or AI systems. Demonstrated experience in prompt design, fine-tuning, or optimization of AI models. Strong understanding of healthcare workflows, terminologies (e.g., ICD, CPT codes), and clinical documentation processes. Proficiency in Python, APIs for LLMs, or related tools to test and validate prompts. Ability to analyze AI performance metrics and provide structured feedback for model improvement. Excellent problem-solving and analytical skills, with a keen eye for detail. Exceptional written and verbal communication skills to articulate complex ideas to technical and