What are the responsibilities and job description for the Sr Gen AI with AWS bedrock position at Triunity Software?
Job Title: Generative AI / LLM Engineer (Only W2 and Full time)
Experience: 12 Years
Job Summary
We are looking for a skilled Generative AI / LLM Engineer to design, develop, and deploy intelligent applications powered by large language models. The ideal candidate will have hands-on experience with modern LLM frameworks, evaluation tools, and cloud-based AI services, along with a strong understanding of retrieval-augmented generation (RAG) systems.
Key Responsibilities
- Design and build end-to-end LLM-powered applications using LangChain and LangGraph
- Develop scalable workflows for complex reasoning, tool usage, and multi-agent systems
- Implement RAG pipelines using AWS OpenSearch for efficient information retrieval
- Integrate foundation models via AWS Bedrock for production-grade AI solutions
- Monitor, evaluate, and improve model performance using LangSmith and Arize Phoenix
- Optimize prompts, chains, and workflows for accuracy, latency, and cost
- Collaborate with cross-functional teams to translate business requirements into AI solutions
- Ensure best practices in AI safety, observability, and performance tracking
Required Skills
- Strong experience with LangChain and LangGraph
- Hands-on experience with LangSmith and Arize Phoenix for LLM evaluation
- Experience working with AWS Bedrock and deploying cloud-based AI solutions
- Proficiency in AWS OpenSearch for building search and retrieval systems
- Solid understanding of RAG architectures and prompt engineering
- Programming skills in Python
- Familiarity with APIs, microservices, and scalable system design