Fullstack AI Engineer

V3 Staffing; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

V3 Staffing seeks a senior AI/ML engineer to own end-to-end AI-powered platforms in Bengaluru. You will build, deploy, and monitor production-grade systems with strong emphasis on LLM agents, autonomous workflows, and multi-agent orchestration.

The role requires deep Python expertise, exposure to TypeScript/Node.js, and hands-on use of AI orchestration tools, RAG techniques, and observability frameworks. Collaboration with cloud providers and model APIs is essential.

Qualifications

• 5+ years in software eng, AI/ML eng, or full-stack with hands-on ownership of production-grade apps.
• Hands-on experience with LLM agents, autonomous workflows, multi-agent orchestration.
• Strong full-stack experience with Python and familiarity with TypeScript/Node.js.
• Experience with AI orchestration frameworks such as LangGraph, LlamaIndex Workflows, or similar.

Responsibilities

• Lead design, development, and deployment of production-grade AI-powered systems.
• Develop and maintain evaluation pipelines to minimize hallucinations and improve reliability.
• Implement observability, tracing, and monitoring for AI services.
• Collaborate with model providers via APIs (OpenAI, Anthropic, Gemini) and cloud platforms (AWS/Azure/GCP).
• Ensure maintainability, CI/CD integration, and scalable deployment.

Skills

LLM-based agents

Autonomous workflows

Multi-agent orchestration

Python

TypeScript/Node.js

AI orchestration frameworks

RAG retrieval

Observability & tracing

PyTorch / Transformers

Docker / Kubernetes

OpenAI / Anthropic / Gemini APIs

Tools

LangGraph

LlamaIndex Workflows

LangSmith

LangFuse

Arize Phoenix

Docker

Kubernetes

OpenAI API

Anthropic API

Gemini API

AWS/Azure/GCP

Job description

Role & responsibilities

• 5+ 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.
  
• 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).
  
• Proven experience taking AI-powered products from prototype to production with strong maintainability and operational quality.
  
• Proven ability to design and execute evaluation pipelines and testing frameworks to ensure reliability and reduce hallucinations.
  
• Experience working with APIs/SDKs from major model providers (OpenAI, Anthropic, Gemini) and open-source models.
  
• Experience deploying and managing services on cloud platforms (AWS, Azure, or GCP) and using containerization (Docker/Kubernetes).
  
• Familiarity with CI/CD pipelines and DevOps practices.