Description

· Languages: NodeJS, TypeScript, Go
· APIs and services: REST, microservices
· Cloud and infrastructure: AWS and/or GCP, Kubernetes
· Distributed systems: event-driven architectures, including Kafka
· Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc
· Bachelor's degree in computer science, Engineering, or related field. Master's degree preferred.
· 10+ years of experience building large-scale distributed systems with a strong proficiency in NodeJS/Javascript/Typescript, and/or Golang.
· Strong experience with LLM systems, agentic workflows or advanced ML infrastructure
· Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
· Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
· Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
· Fluency with AI-assisted and agentic development workflows.
· Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
· Ability to influence technical direction and align teams without formal authority.
· Experience in workflow engines, async processing, queues, and streaming systems.
· Experience with cloud platforms and services and containerization technologies (e.g., Docker, Kubernetes).
· Proficiency in database technologies such as SQL (e.g. PostgreSQL) and NoSQL (e.g. MongoDB, Redis).
· Strong problem-solving skills, with the ability to analyze complex technical challenges and propose effective solutions.
· Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
· Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred Qualifications
· Experience building agentic systems in fintech or other regulated industries.
· Experience as a founding engineer or early technical leader in AI-driven products.
· Demonstrated success delivering technically complex autonomous systems
· Meaningful contributions to open-source AI or agentic frameworks.
· Familiarity with fine-tuning, model optimization and inference pipelines is a plus

Key Skills

Education

Bachelor's or Master's degrees