Staff Consultant – Gen AI
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Job Description
GenAI Engineer position requiring 3+ years in Python and implementation of GenAI solutions. Focus on collaboration, delivery, and optimization in a consulting environment.
Responsibilities:
- Implement RAG pipelines based on provided architecture and design guidelines
- Develop and optimize prompts under defined standards and review processes
- Build API services using FastAPI and integrate GenAI capabilities into applications
- Implement agent workflows using LangChain and LangGraph as per solution design
- Integrate vector databases and tune embeddings for retrieval accuracy
- Consume LLMs from AWS Bedrock and Azure OpenAI following best practices
- Implement JWT authentication for secure API access
- Develop and deploy services on AWS, following existing CI/CD and infra standards
- Add logging and basic monitoring to GenAI pipelines
- Participate in code reviews, testing, and documentation
- Collaborate with senior engineers and managers on delivery and improvements
Requirements:
- 3+ years of experience in Python-based development
- Strong Python Object-Oriented Programming skills
- Working knowledge of GenAI concepts: RAG, chunking, CoT, guardrails
- Experience in Prompt Engineering and prompt iteration
- Hands-on experience with LangChain and/or LangGraph
- Strong FastAPI and REST API integration experience
- Basic to intermediate AWS knowledge, including DynamoDB
- Experience implementing JWT authentication in Python
- Working knowledge of vector databases and embeddings
- Familiarity with AWS Bedrock and Azure OpenAI
Benefits:
- Competitive salary
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