Description

Responsibilities:

• Design, develop, and maintain high-performance backend services and APIs.

• Collaborate with cross-functional teams to gather requirements, architect solutions, and implement features that meet business needs.

• Optimize backend systems for performance, scalability, and reliability, ensuring smooth operation under high load.

• Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.

• Design, build, and operate production-grade agentic AI systems used across multiple products.

• Own and evolve shared agentic AI capabilities, including: Agent frameworks and orchestration layers,

Planning, tool use, and memory strategies

Retrieval and grounding (RAG) pipelines

LLM infrastructure, inference, and model gateways

Evaluation, observability, and safety tooling for autonomous systems

• Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.

• Implement best practices for code quality, testing, and deployment automation.

• Work closely with DevOps teams to deploy and manage backend services in cloud environments (e.g., AWS, Azure, Google Cloud).

• Collaborate with frontend engineers to define API contracts and ensure seamless integration between frontend and backend systems. • Communicate effectively with team members, stakeholders, and management to provide project updates, status reports, and technical recommendations.

Requirements:

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

Any Gradute