Lead AI Engineer
Tiger Analytics Inc.1 month ago
Remote, United StatesStaff+
Responsibilities
- Lead the AI architecture and engineering roadmap for Agentic AI platforms.
- Design and deliver scalable, production-grade AI solutions.
- Oversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure.
- Partner with clients to translate business needs into AI solutions and lead architecture discussions.
- Mentor AI engineers, conduct design and code reviews, and drive engineering best practices.
- Lead multiple engineering teams and manage delivery, risks, and technical roadmaps.
- Evaluate and adopt emerging AI technologies and frameworks.
Requirements
- Expert Python skills and experience with Golang, asynchronous programming, backend APIs, microservices, Docker, Kubernetes, and distributed systems.
- Experience with GenAI, LLMs, Agentic AI, multi-agent systems, RAG, prompt engineering, AI guardrails, and MLOps.
- Experience building and deploying enterprise AI platforms on AWS, including relevant AWS services.
- Strong client-facing consulting, solution architecture, stakeholder management, mentoring, and technical leadership experience.
- 10–15+ years of software engineering experience, including 5+ years leading AI/ML engineering teams.
- Preferred experience with AWS Bedrock, LangGraph, CrewAI, AutoGen, AI copilots, AI observability, Enterprise SaaS, and large-scale distributed systems.
Benefits
- Significant career development opportunities in a small, fast-growing, challenging, and entrepreneurial environment.
- High degree of individual responsibility.
- Remote position in the United States.
Tech Stack
Categories