Senior Backend and AI Engineer

Role: Backend and AI Engineer

Duration:6- 12 months

Location: New York- (100%On-Site)

Type: Contract

Rate -$48/hr

Backend and AI Engineer Lounge Services

Description:

"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.
• Eligible to workimize 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:

o Agent frameworks and orchestration layers,

o Planning, tool use, and memory strategies

o Retrieval and grounding ( RAG) pipelines

o LLM infrastructure, inference, and model gateways

o 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., A WS, 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"

Skills Required:

"We are looking for a talented and experienced Senior Backend Engineer to join our growing team. The 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 Eligible to workP, Kubernetes

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