Senior Backend AI Engineer
Neshent Technologies
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.
Vacancy posted 1 day ago
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