Dxc Technology
GenAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“GenAI Engineer at Dxc Technology. Skills: Python, FastAPI, LangChain, LangGraph, CrewAI, RAG, LLM APIs, SQL, Docker. Code and integrate LLM APIs (OpenAI, Anthropic, etc. ) or local models into backend services using Python, FastAPI, etc. , OpenTelemetry logging.. Design and implement custom MCP servers using the official SDKs (Python/TypeScript) to expose internal databases, APIs, and file systems to AI agents.”
What They're Looking For.
Must Have
Advanced Python (Asyncio, Pydantic), Hands-on experience with any of LangChain, LlamaIndex, and Hugging Face Transformers, RAG and Vector search concepts, Proficiency in SQL and handling other formats (PDFs, Markdown, JSON), Docker, Experience as an end-user of CI pipelines, Deep understanding of RESTful APIs, Streaming HTTP, MCP server vs client, JSONRPC
Nice to Have
TypeScript/Node.js (for full-stack integration)
What You'll Do.
Code and integrate LLM APIs (OpenAI, Anthropic, etc.
) or local models into backend services using Python, FastAPI, etc.
, OpenTelemetry logging., Design and implement custom MCP servers using the official SDKs (Python/TypeScript) to expose internal databases, APIs, and file systems to AI agents., Build & validate RAG—specifically coding the data ingestion scripts, text chunking logic for optimal retrieval., Implement multi-step workflows using LangChain, LangGraph, CrewAI etc.
, focusing on tool-calling logic and error handling., Validate & finetune the solution you developed (correctness, latency, token optimization, hallucination, bias etc.
), Coverage of common GenAI guardrails., Prepare/finetune input data as needed.
How You'll Work.
Team & Collaboration
in-person collaboration
Full Job Description
**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. **Recruitment fraud is a scheme in which fictitious job opportunities are offered to
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