Gen AI Engineer

Innovativesol 2

Reports into Rochester, NY Remote permanent

Posted: February 17, 2026

Job Description

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

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