DT
Ai Automation
Accepting applicationsDXC Technology · Bengaluru, Karnataka, India
Full-Time Mid_senior AIAiaiate
Posted
5d ago
Category
Test
Experience
Mid_senior
Country
India
KEY RESPONSIBILITIES
Develop robust REST and streaming APIs using FastAPI or Flask; ensure clean API contracts and documentation.
Build responsive UI components in React.js, consuming AI-powered backend services.
Integrate LLMs (OpenAI GPT-4o, Anthropic Claude, Gemini, open-source Llama/Mistral) with enterprise data sources.
Write and iterate on prompts — system prompts, few-shot examples, chain-of-thought instructions — to optimize model behavior.
Maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps for automated testing and deployment.
Use GitHub for version control and JIRA for sprint planning, backlog grooming, and issue tracking.
Stay current with rapidly evolving AI tooling and contribute to internal knowledge sharing.
Design and develop Agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
Build, tune, and maintain RAG pipelines integrating vector databases (Pinecone, Weaviate, Chroma, pgvector).
Implement multi-agent orchestration patterns: task delegation, tool use, memory management, and agent loops.
Show more Show less
Develop robust REST and streaming APIs using FastAPI or Flask; ensure clean API contracts and documentation.
Build responsive UI components in React.js, consuming AI-powered backend services.
Integrate LLMs (OpenAI GPT-4o, Anthropic Claude, Gemini, open-source Llama/Mistral) with enterprise data sources.
Write and iterate on prompts — system prompts, few-shot examples, chain-of-thought instructions — to optimize model behavior.
Maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps for automated testing and deployment.
Use GitHub for version control and JIRA for sprint planning, backlog grooming, and issue tracking.
Stay current with rapidly evolving AI tooling and contribute to internal knowledge sharing.
Design and develop Agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
Build, tune, and maintain RAG pipelines integrating vector databases (Pinecone, Weaviate, Chroma, pgvector).
Implement multi-agent orchestration patterns: task delegation, tool use, memory management, and agent loops.
Show more Show less