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Senior Backend AI Engineer
Neshent Technologies
2 hours ago
Full-time
On-site
New York City, New York, United States
Role Overview
We are looking for a highly experienced
Senior Backend AI Engineer – Agentic AI
to design, develop, and scale distributed backend systems and production-grade Agentic AI solutions. The ideal candidate will have strong expertise in Node.js, TypeScript, and/or Golang, distributed systems, cloud infrastructure, LLMs, and multi-agent architectures. The role involves driving the technical architecture of autonomous AI systems, building reusable AI capabilities, and delivering scalable, reliable, and secure AI-powered applications. Core Technical Skills
Languages:
Node.js, JavaScript, TypeScript, Golang. Backend:
REST APIs, Microservices, Distributed Systems. Agentic AI & LLM:
LangGraph, LangChain, Multi-Agent Systems, Agent Orchestration, Planning, Tool Calling, Memory Management. RAG & AI Infrastructure:
Retrieval-Augmented Generation, LLM Integration, Model Gateways, Inference, Evaluation, and Observability. Cloud & DevOps:
AWS/GCP, Docker, Kubernetes, CI/CD. Messaging & Workflows:
Kafka, Event-driven Architecture, Airflow, Async Processing. Databases:
PostgreSQL, MongoDB, Redis. Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred. 8+ years of backend engineering experience building scalable, distributed systems. Strong proficiency in Node.js, TypeScript, and/or Golang. Hands-on experience building and deploying production-grade LLM applications and Agentic AI systems. Strong understanding of multi-agent orchestration, planning, reasoning, tool integration, memory, and RAG. Experience with cloud platforms, Kubernetes, microservices, event-driven architectures, and distributed infrastructure. Proven ability to own complex technical initiatives and drive architecture decisions across teams. Strong problem-solving, communication, and technical leadership skills. Roles & Responsibilities
Design, develop, and maintain scalable backend services, APIs, and microservices. Architect and build production-grade Agentic AI and multi-agent systems. Develop agent orchestration, planning, tool integration, memory, and RAG capabilities. Build and optimize shared LLM infrastructure, model gateways, evaluation, and observability frameworks. Drive technical architecture and engineering best practices across AI initiatives. Ensure system scalability, reliability, security, performance, and cost efficiency. Collaborate with DevOps, frontend, product, and ML teams to deliver end-to-end AI solutions. Mentor engineers and influence technical direction across teams. Preferred Qualifications
Experience building Agentic AI solutions in fintech or regulated industries. Experience as a founding engineer or early technical leader in AI-driven products. Contributions to open-source AI or Agentic AI frameworks. Knowledge of model fine-tuning, optimization, and inference pipelines. Experience implementing AI safety, guardrails, and governance mechanisms.
We are looking for a highly experienced
Senior Backend AI Engineer – Agentic AI
to design, develop, and scale distributed backend systems and production-grade Agentic AI solutions. The ideal candidate will have strong expertise in Node.js, TypeScript, and/or Golang, distributed systems, cloud infrastructure, LLMs, and multi-agent architectures. The role involves driving the technical architecture of autonomous AI systems, building reusable AI capabilities, and delivering scalable, reliable, and secure AI-powered applications. Core Technical Skills
Languages:
Node.js, JavaScript, TypeScript, Golang. Backend:
REST APIs, Microservices, Distributed Systems. Agentic AI & LLM:
LangGraph, LangChain, Multi-Agent Systems, Agent Orchestration, Planning, Tool Calling, Memory Management. RAG & AI Infrastructure:
Retrieval-Augmented Generation, LLM Integration, Model Gateways, Inference, Evaluation, and Observability. Cloud & DevOps:
AWS/GCP, Docker, Kubernetes, CI/CD. Messaging & Workflows:
Kafka, Event-driven Architecture, Airflow, Async Processing. Databases:
PostgreSQL, MongoDB, Redis. Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred. 8+ years of backend engineering experience building scalable, distributed systems. Strong proficiency in Node.js, TypeScript, and/or Golang. Hands-on experience building and deploying production-grade LLM applications and Agentic AI systems. Strong understanding of multi-agent orchestration, planning, reasoning, tool integration, memory, and RAG. Experience with cloud platforms, Kubernetes, microservices, event-driven architectures, and distributed infrastructure. Proven ability to own complex technical initiatives and drive architecture decisions across teams. Strong problem-solving, communication, and technical leadership skills. Roles & Responsibilities
Design, develop, and maintain scalable backend services, APIs, and microservices. Architect and build production-grade Agentic AI and multi-agent systems. Develop agent orchestration, planning, tool integration, memory, and RAG capabilities. Build and optimize shared LLM infrastructure, model gateways, evaluation, and observability frameworks. Drive technical architecture and engineering best practices across AI initiatives. Ensure system scalability, reliability, security, performance, and cost efficiency. Collaborate with DevOps, frontend, product, and ML teams to deliver end-to-end AI solutions. Mentor engineers and influence technical direction across teams. Preferred Qualifications
Experience building Agentic AI solutions in fintech or regulated industries. Experience as a founding engineer or early technical leader in AI-driven products. Contributions to open-source AI or Agentic AI frameworks. Knowledge of model fine-tuning, optimization, and inference pipelines. Experience implementing AI safety, guardrails, and governance mechanisms.