Job Description

Key Responsibilities

• Application Development Code and integrate LLM APIs (OpenAI, Anthropic, etc.) or local models into backend services using Python, FastAPI, etc., OpenTelemetry 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 LangChain, LangGraph, 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 LangChain, LlamaIndex, 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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