onsite
AI Engineer - Zensar Technologies
AI Engineer
AI Engineer building and deploying AI solutions, focusing on LLM orchestration, agentic workflows, and model governance to drive efficiency across enterprise teams.
About the role
Key Responsibilities
- Assess AI opportunities and design agentic solutions that outperform traditional methods.
- Build and maintain LLM orchestration pipelines, ensuring scalability and reliability.
- Develop automated evaluation frameworks, simulation tests, and regression suites to uphold quality.
- Collaborate with cross‑functional teams to integrate AI models into production workflows.
- Stay current with emerging AI technologies and translate research into practical tools.
Requirements
- Proficiency in Python and experience with LLM frameworks (e.g., LangChain, Hugging Face).
- Hands‑on knowledge of agentic workflow design and model governance best practices.
- Strong background in building automated testing and evaluation pipelines.
- Excellent problem‑solving skills and a results‑driven mindset.
- Effective communication skills for collaborating with engineering and product teams.