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The role is hands-on and spans experimentation, backend development, deployment, evaluation, and production support.\nKey Responsibilities\n· Design and build RAG and agentic AI solutions from prototype through production\n· Develop AI workflows using Python, LangGraph, LangChain, or comparable frameworks\n· Build backend services and APIs using FastAPI, REST APIs, and containerized deployment patterns\n· Develop retrieval pipelines covering ingestion, embeddings, indexing, retrieval, reranking, grounding, and citations\n· Support GraphRAG and knowledge graph use cases that combine structured and unstructured information\n· Build and maintain data and AI pipelines using Databricks\n· Integrate AI applications with Azure and enterprise services, including identity, security, logging, and monitoring\n· Evaluate solution quality using retrieval metrics, RAG evaluations, LLM-based evaluation, and human review\n· Collaborate with engineers, architects, product teams, and domain specialists to move use cases into production\n· Support technical documentation, troubleshooting, optimization, and post-production improvements\nSkill Requirements\n3+ years of relevant software, data, machine learning, or AI engineering experience\n· Strong programming capability in Python and experience building production APIs or backend services\n· Hands-on experience with RAG, LLM applications, or agentic AI workflows\n· Experience with FastAPI, REST APIs, Docker, Azure DevOps Git, and CI/CD\n· Experience with Microsoft Azure and cloud-based application deployment\n· Familiarity with Databricks, data pipelines, SQL, and common Python data/ML libraries\n· Understanding of authentication, authorization, RBAC, secrets management, logging, and monitoring\n· Experience evaluating AI systems through retrieval metrics, RAGAS or similar frameworks, or task-specific benchmarks\n· Strong communication and collaboration skills across technical and non-technical teams\n· Ability to take ownership and work iteratively from experimentation to secure, maintainable production solutions\nOther Requirements\nExperience with GraphRAG, knowledge graphs, ontologies, graph databases, Azure AI services, MCP, or enterprise technology environments.","description_format":"text","description_chars":2376,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-06T14:00:12Z"}],"visa":[],"liveness":{"score":96,"band":"hot","label":"Hiring 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