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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Required Experience:

Senior IC