Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
9 hours ago
DockerNode.jsRustSQLAWSMLOpsMLflowAzureGPTGenerative AIGoogle CloudKubernetesLLMTypeScript
Job Description
Lead AI Engineer – Retirement / Wealth Domain
Duration: 6+ Months
Location: Boston, MA / Windsor, CT
Remote: Remote candidates can be considered
Seeking a Lead AI Engineer with strong Retirement or Wealth Management domain experience to architect and build enterprise-scale LLM/Agentic AI solutions in production.
MUST-HAVE SKILLS
- RUST – EXPERT LEVEL (MANDATORY): 3+ years of hands-on production experience with Rust, including async programming (Tokio), API/backend development, error handling, traits, testing, and performance-critical systems.
- TypeScript / Node.js – Required: Production API and full-stack development.
- Solana / Solana Programs – Required: Anchor or native Solana development, account model, transactions, and PDAs.
- LLM / Generative AI: Production experience with GPT-4o, Claude, Gemini/Gemma, or AWS Bedrock.
- Agentic AI & RAG: LangGraph, LangChain, AutoGen, CrewAI, Google ADK, MCP, vector databases, prompt engineering, evaluation, and guardrails.
- Cloud & MLOps: AWS/Azure/Google Cloud Platform, Docker, Kubernetes, MLflow/W&B, CI/CD, monitoring, and observability.
- Strong SQL, data engineering, API development, system design, security, testing, and CI/CD skills.
Experience
- 10+ years of progressive software engineering experience.
- 3+ years building and deploying LLM/Agentic AI systems in production.
- Prior Lead/Staff-level experience owning architecture and technical direction.
- Experience delivering AI solutions in regulated environments, preferably financial services.
Key Responsibilities
- Architect and develop enterprise-scale AI/LLM and Agentic AI solutions.
- Lead hands-on engineering, MLOps, production reliability, and AI governance.
- Build secure, scalable APIs and AI services using Rust, TypeScript/Node.js, and cloud technologies.
- Establish best practices for AI quality, testing, observability, security, and compliance.
- Provide technical leadership and mentor engineering teams.
Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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