Ai Engineer

**Role Summary** We are looking for a highly skilled AI Engineer to help build and scale our internal AI ecosystem. You will design and deploy production\-ready AI agents and multi\-agent workflows that automate complex business processes. This role bridges LLM engineering and backend software development, using a modern stack centered on LangGraph, PydanticAI, and Model Context Protocol (MCP). This is a hands\-on role ideal for someone excited about building real\-world AI systems and shipping them to production. **Key Responsibilities** Agentic Workflow Development* Design and implement stateful AI workflows using LangGraph. * Build role\-based multi\-agent collaborations using CrewAI. * Develop reliable long\-running and branching AI processes. Structured AI Services* Use Pydantic and PydanticAI to enforce type safety and structured outputs. * Implement schema\-driven AI pipelines and validation layers. * Contribute to reliability, logging, and observability of AI services. RAG \& Context Engineering* Build and maintain Retrieval\-Augmented Generation (RAG) pipelines. * Work with vector databases such as Qdrant, ChromaDB, or PgVector. * Contribute to GraphRAG implementations using Neo4j or FalkorDB. * Improve search quality using hybrid search and reranking techniques. MCP \& Internal Tooling* Help build and maintain Model Context Protocol (MCP) servers. * Integrate AI agents with internal APIs, databases, and tools. * Support development of internal AI frameworks and reusable components. Model Integration \& Optimization* Work with both local models (Ollama / LM Studio) and cloud LLM providers. * Assist in model evaluation, optimization, and experimentation. * Support domain\-specific fine\-tuning and benchmarking. Performance \& Scalability* Implement semantic caching and context optimization strategies. * Improve latency, cost efficiency, and scalability of AI services. Deployment \& Engineering* Containerize services using Docker. * Deploy AI workloads on AWS Lambda or GCP Cloud Functions. * Write clean, maintainable, production\-quality Python code. **Required Skills \& Experience: \-*** 3–6 years of experience in software engineering, ML engineering, or AI engineering. * Hands\-on experience building production applications in Python. * Experience with LangChain or LangGraph (or similar LLM frameworks). * Strong experience with Pydantic and structured data validation. * Exposure to multi\-agent frameworks such as CrewAI is a plus. * Experience working with LLM APIs and prompt engineering. * Familiarity with RAG pipelines and vector databases. Databases* Experience with at least one Vector DB (Qdrant / PgVector) or Graph DB (Neo4j or FalkorDB). Backend \& Infrastructure* Strong Python (Asyncio preferred). * Experience with Docker and cloud/serverless deployments. * Understanding of REST or gRPC APIs. **Preferred Qualifications*** Experience with Human\-in\-the\-Loop workflows. * Background in semantic search or information retrieval. * Experience building internal tools or developer platforms. * Familiarity with model fine\-tuning or evaluation. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.