Gen AI Engineer

Location: Remote, but twice quarterly travel to our HQ in Rochester, NY (Company paid) for team meetings. Employment: Full time W2 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. What You’ll Do ·       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 Required Technical Skills ·       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 Nice to Have ·       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) Qualifications ·       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 Example Projects ·       Conversational AI assistants using Bedrock and Claude ·       RAG-based document intelligence platforms ·       AI-powered data extraction and validation systems ·       Multi-agent workflow automation ·       Voice and personalization solutions using AWS AI services