Job Summary:
Senior Backend Engineer will be responsible for designing, developing, and maintaining scalable
and efficient backend systems that power our applications. The ideal candidate will have a strong
background in backend development, solid understanding of distributed systems, LLM
systems, agentic workflows and experience with cloud technologies.
Core engineering stack
Languages: NodeJS, TypeScript, Go
APIs and services: REST, microservices
Cloud and infrastructure: AWS and/or Google Cloud Platform, Kubernetes
Distributed systems: event-driven architectures, including Kafka
Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc
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.
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