Gen AI Engineer
About The Position
Innovative Solutions is a Premier Tier AWS Partner delivering cloud and Generative AI solutions for SMB, startup, and enterprise customers. Our GenAI practice builds production-ready solutions using Amazon Bedrock, vector databases, LLM orchestration, and custom AI agents across healthcare, financial services, and technology. Role Overview We’re looking for a GenAI Engineer to join our Professional Services team, building and deploying real-world Generative AI applications. You’ll work directly with customers to design, implement, and scale AI-powered solutions including conversational assistants, RAG systems, document automation, and intelligent data platforms.
Requirements
- Amazon Bedrock (model invocation, streaming, guardrails)
- Python (3.9+) including async, testing frameworks (pytest)
- LLM integration (Anthropic, OpenAI, Cohere)
- Vector databases for semantic search
- LangChain, LlamaIndex, or agent orchestration frameworks
- AWS Serverless: Lambda, API Gateway, Step Functions
- Infrastructure as Code: CloudFormation, CDK, or Terraform
- 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
Nice To Haves
- Bedrock AgentCore, DynamoDB, Docker/ECS, AWS Glue
- RAG architecture optimization and embedding models
- CloudWatch, IAM, CI/CD pipelines
- SageMaker, OpenSearch, EventBridge, WebSockets
- Experience in regulated industries (HIPAA, PCI, SOC 2)
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
