Senior AI Engineer building Python/TypeScript agents and automations for TRM Labs’ AI - powered crime and threat intelligence platforms. Embedded with Product, Marketing, and Design to accelerate decisions and delivery.
About the role
- Principal AI engineer leading production AI systems for CINC’s community-management platform. Building Cephai-powered automation, retrieval, and operational tools while mentoring engineering teams.
Responsibilities
- Lead the direction of a product team in partnership with a Product Lead
- Design and build production-grade, Cephai-powered systems that bring the right context into the work
- Lead a small engineering team building intelligent automation workflows, retrieval-based systems, and AI-driven operational tooling
- Ensure AI systems run reliably in a large production environment and integrate cleanly with the rest of the platform
- Work closely with operations, product, design, sales, marketing, and client support leaders to solve client problems
- Recruit and mentor strong engineers and support highly skilled team members
- Shape architectural patterns and engineering practices across the organization
- Develop team processes that support quality, product excellence, and user satisfaction
- Help evolve CINC's AI stack with clarity, safety, and measurable impact
Requirements
- 15+ years of software engineering experience
- Fluency in Python, Node, TypeScript, and other programming languages
- Proven ability to design and deploy production AI architectures combining backend engineering with agent orchestration
- Strong working knowledge of LangGraph, LangChain, and similar orchestration frameworks
- Practical experience building AI-enabled applications using APIs from OpenAI, Anthropic, and Bedrock, including context management, streaming responses, and evaluation
- Familiarity with vector databases, semantic search, and embedding pipelines
- Solid software engineering fundamentals, including API design, microservices, and system integration patterns such as service mesh, API gateway, and event-driven architectures
- Practical experience with cloud-native environments such as AWS, GCP, or equivalent, including serverless compute and containerized deployments
- Demonstrated ability to lead through influence, set direction, and raise standards for quality and maintainability
- Ability to explain complex trade-offs and design decisions clearly to technical and non-technical audiences
- Experience mentoring engineers and contributing to architectural strategy
- Ability to deliver in a fast-moving, global environment
- Strategic judgment in build-versus-buy decisions
- Experience with Extreme Programming, continuous delivery, automated testing, and trunk-based development is a strong advantage
Benefits
- Remote-first work arrangement with hybrid optional
- Mentorship and professional growth opportunities
- Collaboration with global teams
- Leadership and architectural influence across the organization
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