Role Overview:We are seeking a talented and experienced Senior Backend Engineer to join a growing team. This role is responsible for designing, developing, and maintaining scalable and efficient backend systems that power applications. The ideal candidate will possess a strong background in backend development, a solid understanding of distributed systems, LLM systems, agentic workflows, and experience with cloud technologies.
Key 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, memory strategies, retrieval and grounding (RAG) pipelines, LLM infrastructure, inference, and model gateways, and 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.
Required Skills:- Strong background in backend development and distributed systems.
- Proficiency in NodeJS/Javascript/Typescript, and/or Golang.
- Experience with LLM systems, agentic workflows or advanced ML infrastructure.
- Proven ownership of complex, cross-cutting agentic systems.
- 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 (AWS, GCP) and containerization technologies (Docker, Kubernetes).
- Proficiency in database technologies such as SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis).
- Experience with REST APIs and microservices.
- Experience with event-driven architectures, including Kafka.
- Familiarity with orchestration frameworks like LangGraph, LangChain, AirFlow.
- Strong problem-solving skills.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Excellent communication skills.
Qualifications:- Bachelor's degree in computer science, Engineering, or related field. Master's degree preferred.
- 10+ years of experience building large-scale distributed systems.
Preferred Skills:- 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.
