Job Description: Key Responsibilities

• Application Development: Code and integrate LLM APIs (OpenAI, Anthropic, etc.) or local models into backend services using Python, FastAPI, etc., Open Telemetry logging.
• MCP Server Development: Design and implement custom MCP servers using the official SDKs (Python/TypeScript) to expose internal databases, APIs, and file systems to AI agents.
• RAG Implementation: Build & validate RAG—specifically coding the data ingestion scripts, text chunking logic for optimal retrieval.
• Agent Development: Implement multi-step workflows using Lang Chain, Lang Graph, CrewAI etc., focusing on tool-calling logic and error handling.
• Evaluation & Guardrails: Validate & finetune the solution you developed (correctness, latency, token optimization, hallucination, bias etc.,). Coverage of common GenAI guardrails.
• Data Preparation: Prepare/finetune input data as needed.

Technical Skills (The "Execution" Stack)

• Language: Advanced Python(Asyncio, Pydantic) and optional TypeScript/Node.js (for full-stack integration).
• AI Frameworks: Hands-on experience with any of Lang Chain,Llama Index, and Hugging Face Transformers. RAG and Vector search concepts.
• Data Handling: Proficiency in SQL and handling other formats (PDFs, Markdown, JSON).
• Local Validation: Docker, Experience as an end-user of CI pipelines to ensure compliance to quality.
• MCP/API Proficiency: Deep understanding of RESTful APIs, Streaming HTTP, MCP server vs client, JSONRPC

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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