Gen AI Engineer
Innovative Solutions
- Location
- Bakersfield · Rochester, NY
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- —
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design and build production Generative AI applications using Amazon Bedrock
- Develop RAG pipelines using vector databases
- Build AI agents and multi-agent workflows
- Implement prompt engineering, embeddings, and fine-tuning strategies
- Create serverless AWS architectures
- Build REST and WebSocket APIs
- 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
- Amazon Bedrock (model invocation, streaming, guardrails)
- Python (3.9+)
- 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)
Preferred
- 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)
Skills
- AWS
- Generative AI
- Amazon Bedrock
- Claude
- Nova
- Llama
- Weaviate
- OpenSearch
- Pinecone
- Chroma
- FAISS
- LangChain
- LlamaIndex
- Bedrock Agents
- Python
- async
- pytest
- Anthropic
- OpenAI
- Cohere
- Lambda
- API Gateway
- Step Functions
- EventBridge
- FastAPI
- Flask
- ETL
- ELT
- CloudFormation
- CDK
- Terraform
- DynamoDB
- Docker
- ECS
- AWS Glue
- CloudWatch
- IAM
- SageMaker
- WebSockets
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