AI/LLM Engineer (Python & AWS)
UST (company site, opens in a new tab)ChennaiOn-siteDirect career pageEst. 18–35 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy agentic AI solutions using Python, LLM, RAG architectures, and AWS to solve business problems.
- Build and optimize intelligent workflows and Retrieval-Augmented Generation implementations to enhance response accuracy and contextual relevance.
- Collaborate with product and operations stakeholders through co-design and iteration, maintaining artifacts in Git repositories and enabling stakeholder autonomy.
Minimum Requirements
- Proficiency in Python, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AWS cloud services.
- Strong experience in modern LLM application development including agent-based architectures and retrieval-focused AI solutions.
- Hands-on experience with prompt engineering, evaluation frameworks, iterative model improvement, and API integration.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced engineer comfortable working closely with business stakeholders to co-design measurable and scalable AI solutions.
- Proven ability to manage and optimize AI workflows including prompt evaluation and accuracy measurement in real-world applications.
- Skilled in cloud-based AI solution deployment with strong expertise in AWS and Git-based CI/CD development workflows.