{"schemaVersion":"jobsearcher.job.v1","id":"94d5e9cf787e91cceac9c9f3","url":"https://jobsearcher.com/jobs/94d5e9cf787e91cceac9c9f3","canonicalUrl":"https://jobsearcher.com/jobs/94d5e9cf787e91cceac9c9f3","title":"AI/ML(Python)-Mclean, VA-Only locals","description":"Note: Need only VA localsRole: AI/ML-PythonLocation: McLean, VA (Onsite)Interview: F2F InterviewEducation & ExperienceMinimum 7-10 years of overall software engineering experience with strong Python expertise3+ years of hands-on experience building LLM-powered or AI/ML applications in productionBachelor''''s/Master''''s degree in Computer Science, Engineering, AI/ML, or equivalent industry experienceDemonstrated experience owning end-to-end delivery of AI products from design to deploymentPython Fundamentals (Must Have)Deep expertise in Python 3.10+, including asyncio, multithreading/multiprocessing, decorators, generators, and metaclassesProficiency with foundational packages: NumPy, Pandas, Pydantic, httpx/requests, dataclasses, typingStrong grasp of clean code principles, SOLID design, and Pythonic idiomsExperience writing unit/integration tests with pytest and maintaining high code coverageFamiliarity with linting/formatting toolchains (ruff, black, isort, mypy) and pre-commit hooksExperience with dependency and environment management (Poetry, uv, pip, venv, conda)Agentic AI, LangChain & MCP (Core Focus)Proven hands-on experience with Model Context Protocol (MCP) — designing, building, and maintaining MCP servers and clientsStrong working experience with FastMCP for building Python-based MCP servers with tools, resources, and promptsExpert-level experience with LangChain (chains, agents, memory, retrievers, output parsers, LCEL)Experience with LangGraph for stateful, multi-agent, and graph-based agentic workflowsUnderstanding of tool/function calling, structured outputs, and agent-to-agent communication patternsExperience integrating multiple LLM providers (Anthropic Claude, OpenAI, Azure OpenAI, Gemini, open-source models)Knowledge of RAG architecture: chunking strategies, embeddings, hybrid search, re-ranking, and evaluationBackend & API Development5+ years building production APIs with FastAPI, Flask, or Django REST FrameworkExperience with streaming responses (SSE/WebSockets) for real-time LLM outputSolid understanding of authentication/authorization mechanisms (OAuth2, JWT, API key management)Experience designing scalable microservices and event-driven architectures (Kafka, RabbitMQ, Celery)Data & StorageStrong SQL skills (PostgreSQL, MySQL) and experience with ORMs (SQLAlchemy)Hands-on experience with vector databases: Chroma, Pinecone, Qdrant, Weaviate, pgvector, or FAISSExperience with caching layers (Redis) and NoSQL stores (MongoDB, DynamoDB)Data preprocessing, ETL pipeline development, and working with structured/unstructured dataML/AI FoundationsWorking knowledge of machine learning fundamentals: embeddings, similarity metrics, classification, evaluationFamiliarity with PyTorch, TensorFlow, or scikit-learn for model training/inference where neededExperience with Hugging Face ecosystem (Transformers, datasets, model hub)Understanding of prompt engineering, few-shot learning, and LLM evaluation frameworks (RAGAS, DeepEval, LangSmith evals)Cloud, DevOps & MLOps4+ years deploying applications on AWS, Azure, or Google Cloud Platform (Lambda, ECS/EKS, Cloud Run, Azure Functions)Proficiency with Docker; working knowledge of Kubernetes and HelmCI/CD experience with GitHub Actions, GitLab CI, or Azure DevOpsExperience with LLM observability and tracing tools (LangSmith, Langfuse, Arize Phoenix, OpenTelemetry)Familiarity with secrets management, rate limiting, and cost monitoring for LLM workloadsSecurity & Responsible AIExperience implementing guardrails, input/output validation, and PII handling in AI pipelinesAwareness of prompt injection risks and mitigation strategies in agentic/MCP-based systemsUnderstanding of compliance considerations (SOC 2, GDPR, HIPAA) when handling sensitive dataCollaboration & LeadershipExperience mentoring engineers, conducting code reviews, and setting technical standardsAbility to translate business problems into AI solution architecturesExcellent communication skills with both technical and non-technical stakeholdersComfortable in Agile/Scrum delivery models with tools like Jira and ConfluenceNice to HaveContributions to open-source AI/LLM projects (LangChain, MCP servers, etc.)Experience with fine-tuning (LoRA/QLoRA) or self-hosted model serving (vLLM, Ollama, TGI)Knowledge of A2A protocols, CrewAI, AutoGen, or other multi-agent frameworksExperience building Slack/Teams bots or IDE integrations powered by MCP","company":"Stacknexus","rawCompany":"stacknexus","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-06-19T08:26:00.051Z","occupations":[{"code":"15-1252.00","title":"Software 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tools, resources, and promptsExpert-level experience with LangChain (chains, agents, memory, retrievers, output parsers, LCEL)Experience with LangGraph for stateful, multi-agent, and graph-based agentic workflowsUnderstanding of tool/function calling, structured outputs, and agent-to-agent communication patternsExperience integrating multiple LLM providers (Anthropic Claude, OpenAI, Azure OpenAI, Gemini, open-source models)Knowledge of RAG architecture: chunking strategies, embeddings, hybrid search, re-ranking, and evaluationBackend & API Development5+ years building production APIs with FastAPI, Flask, or Django REST FrameworkExperience with streaming responses (SSE/WebSockets) for real-time LLM outputSolid understanding of authentication/authorization mechanisms (OAuth2, JWT, API key management)Experience designing scalable microservices and event-driven architectures (Kafka, RabbitMQ, Celery)Data & StorageStrong SQL skills (PostgreSQL, MySQL) and experience with ORMs 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