Senior Node.js Backend AI Engineer

Techaxisinc — United States · Posted ~3 hours ago

Senior Full-time Hybrid No Visa

Skills

Node.js TypeScript Go REST APIs Microservices AWS GCP Kubernetes Distributed systems Kafka LangChain

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Summary ✨ AI‑Generated

Join a growing engineering team building scalable backend systems powered by modern cloud infrastructure and AI technologies. The role involves designing services, APIs, and distributed solutions.

Highlights

Senior engineering role focused on AI-enabled backend systems, cloud technologies, and scalable distributed architectures.

Description

We are looking for a Senior Node.js Backend AI Engineer Experience Required -7+ Years location - New York or Phoenix (hybrid) It is an permanent full time role (No Contract) Need US Citizen & Green card holder only Must Have Technical/Functional Skills 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 GCP, Kubernetes • Distributed systems: event-driven architectures, including Kafka • Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc • 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. Company Description: Techaxis is a US-based firm that specializes in discovering, engaging, and placing top talent globally, for full-time or contract positions in leadership and mid to senior-level positions for companies in the technology, healthcare, energy, and education space. Techaxis Inc. is headquartered in Northern Virginia, USA. We are ranked #3294 in Inc 5000 and #105 in Inc 5000 DC Metro Series, SWaM, and WBE Certified technology talent search firm. Equal Opportunities Employer: Our clients provide equal opportunities to all its employees and all qualified applicants for employment, without regard to their race, caste, religion, color, ancestry, marital status, sex, age, nationality, disability, and veteran status. Employees of our client shall be treated with dignity and in accordance with their policy to maintain a work environment free of sexual harassment, whether physical, verbal, or psychological. Employee policies and practices shall be administered in a manner that would ensure that in all matters equal opportunity is provided to those eligible and the decisions are merit-based.