Middle AI Developer
Core
Design, build, and operate production AI systems powered by large language models, agentic workflows, and RAG pipelines for credit unions.
Role type
Middle AI Developer (hands-on IC)
Builds
Intelligent systems, multi-step LangGraph agents, and LLM-powered features deployed on AWS.
Domain
Fintech / Applied Machine Learning
Deliverable
production ML models
Required skills
Python (typing, async, testing), AWS (Bedrock, Lambda, ECS/Fargate, S3, DynamoDB/RDS, CloudWatch), LangGraph, RAG architectures, vector databases (OpenSearch, pgvector, Pinecone), prompt engineering and evaluation, CI/CD, Infrastructure as Code (CDK, Terraform, CloudFormation)
Preferred skills
TypeScript/Node.js, MCP (Model Context Protocol), fine-tuning or distilling language models, multi-tenant SaaS architecture
Technologies
AWS Bedrock, LangGraph, Claude, OpenSearch, pgvector, Pinecone, Braintrust, LangSmith, Promptfoo, Terraform, CDK
Responsibilities
Design and build production LLM-powered features including multi-step agentic workflows and RAG pipelines; Develop and maintain LangGraph agents with state management and human-in-the-loop patterns; Integrate AWS Bedrock to invoke foundation models and configure Guardrails; Architect and operate AI workloads on AWS; Set up and manage MCP servers and clients; Own prompt engineering and evaluation metrics; Monitor cost, latency, and reliability of LLM workloads
Seniority
Middle, hands-on IC
