AI Engineer developing and deploying AI/ML solutions using Azure technologies. Collaborating with cross - functional teams and implementing CI/CD pipelines in a responsible AI environment.
About the role
- GenAI Engineer building production-ready Generative AI applications using AWS for diverse sectors. Collaborating with clients on implementing AI-powered solutions and scalable data platforms.
Responsibilities
- Design and build production Generative AI applications using Amazon Bedrock (Claude, Nova, Llama)
- Develop RAG pipelines using vector databases (Weaviate, OpenSearch, Pinecone, Chroma, FAISS)
- Build AI agents and multi-agent workflows using LangChain, LlamaIndex, Bedrock Agents, or custom frameworks
- Implement prompt engineering, embeddings, and fine-tuning strategies
- Create serverless AWS architectures using Lambda, API Gateway, Step Functions, EventBridge
- Build REST and WebSocket APIs using FastAPI or Flask
- Design data ingestion, ETL/ELT pipelines, and semantic search systems
- Implement observability, logging, and performance optimization for AI workloads
- Collaborate with clients and internal teams in an agile delivery model
Requirements
- 5+ years of software engineering experience
- 2+ years building on AWS in production
- 1+ years hands-on Generative AI experience (LLMs, RAG, agents)
- Strong client-facing communication and problem-solving skills
Benefits
- Company paid travel to HQ in Rochester, NY for team meetings
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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