AI Platform Engineering Team Lead
Lead and build alongside a team of engineers creating AI agents, intelligent workflows, and decision-making systems. Own architecture, production systems, and team growth in a fintech environment focused on reliable, secure, and scalable AI solutions.
Responsibilities
- Lead a team of software engineers and build alongside them
- Own architecture and evolution of the AI Platform
- Build production-grade AI agents, intelligent workflows, and decision-making systems
- Combine LLMs with business logic, data, tools, and deterministic software
- Own AI systems across full lifecycle from design to continuous improvement
- Make architectural trade-offs across accuracy, latency, scalability, reliability, security, and cost
- Turn ambiguous product and business problems into clear technical direction
- Raise the bar for code quality, system design, and engineering execution
- Help strong engineers become exceptional
Requirements
- 7+ years of software engineering experience with strong backend, platform, or distributed systems background
- 3+ years leading engineers including mentoring, technical direction, and performance ownership
- Hands-on experience shipping LLM- or GenAI-powered capabilities to production
- Practical understanding of agentic systems, tool use, orchestration, RAG, evaluations, and AI observability
- Experience building and operating complex, distributed, or event-driven systems at scale
- Strong architectural judgment balancing speed with long-term quality
- Hands-on mindset with active code writing, reviewing, and challenging
- Ability to connect technical decisions with product, customer, and business outcomes
- Ownership extending beyond immediate team or scope
- Active use of AI development tools such as Codex, Claude Code, and Cursor
Nice to have
- Experience with Node.js, TypeScript, and Python
- Experience with Kafka, AWS, MongoDB, PostgreSQL, Docker, Kubernetes, and ECS
- Experience with AI evaluation, monitoring, and observability