AI Engineer – TypeScript or Node.js

TeamPlus Staffing Solution Pvt Ltd; Bengaluru; On-site; INR 2,200,000 - 3,400,000; Full time

Job summary

TeamPlus Staffing Solution Pvt Ltd in Bengaluru seeks a seasoned software/AI engineer to own end‑to‑end production‑grade applications, spanning software engineering, AI/ML, and full‑stack development. You will design, build, deploy, and monitor systems with real‑world impact.

The role requires 4–8 years of experience, deep Python expertise, hands‑on work with LLM agents, AI orchestration frameworks, RAG techniques, and observability tooling such as LangSmith or Arize.

Qualifications

• 4–8 years of experience in software engineering, AI/ML engineering, or full-stack development, with hands‑on ownership of building and deploying production‑grade applications or platforms.
• 4+ years of focused experience building and deploying AI‑centric systems.
• 2+ years of hands‑on experience with LLM‑based agents, autonomous workflows, or multi‑agent orchestration.
• Strong full‑stack engineering experience, with deep expertise in Python and familiarity with TypeScript or Node.js.
• Hands‑on experience with AI orchestration frameworks such as LangGraph, LlamaIndex Workflows, or similar tools.
• Solid understanding of Retrieval‑Augmented Generation (RAG), including hybrid search, re‑ranking, and advanced retrieval techniques.
• Experience implementing observability and tracing for AI systems (e.g., LangSmith, LangFuse, Arize Phoenix).
• Production experience with modern ML tooling and frameworks (for example: PyTorch, Transformers, scikit‑learn).

Skills

Python

Full-stack engineering

AI/ML systems

LLM-based agents

Autonomous workflows

Multi-agent orchestration

Tools

LangGraph

LlamaIndex Workflows

LangSmith

LangFuse

Arize Phoenix

PyTorch

Transformers

scikit-learn

Job description

4–8 years of experience in software engineering, AI/ML engineering, or full-stack development, with hands‑on ownership of building and deploying production‑grade applications or platforms.

• 4+ years of focused experience building and deploying AI‑centric systems.
• 2+ years of hands‑on experience with LLM‑based agents, autonomous workflows, or multi‑agent orchestration.
• Strong full‑stack engineering experience, with deep expertise in Python and familiarity with TypeScript or Node.js .
• Hands‑on experience with AI orchestration frameworks such as LangGraph, LlamaIndex Workflows, or similar tools.
• Solid understanding of Retrieval‑Augmented Generation (RAG), including hybrid search, re‑ranking, and advanced retrieval techniques.
• Experience implementing observability and tracing for AI systems (e.g., LangSmith, LangFuse, Arize Phoenix).
• Production experience with modern ML tooling and frameworks (for example: PyTorch, Transformers, scikit‑learn).