AI/ML Engineer

We are hiring an AI/ML Engineer to design, build, and scale intelligent systems powered by LLMs and agent-based architectures. You will work on end-to-end AI pipelines including model development, fine-tuning, multi-agent orchestration, and backend integration.

This role focuses on building autonomous AI systems that can execute complex workflows (reasoning, decision-making, automation) with minimal human intervention.

Design, develop, and optimize ML/AI models (NLP, LLMs, embeddings, ranking)

Fine-tune LLMs and evaluate performance across real-world tasks

Build RAG pipelines, retrieval systems, and semantic search

Optimize inference pipelines for performance and cost

Design and build agent-based systems (MANDATORY)

Architect and implement multi-agent workflows (MANDATORY)

Use frameworks like LangChain / LangGraph for orchestration

Build planning execution feedback retry pipelines

Implement memory, context handling, and tool usage

Handle failures, retries, and human-in-the-loop (HITL) flows

Develop backend services using Python (FastAPI) or Node.js

Integrate AI systems into production-ready APIs

Work with relational databases + vector databases

Design async workflows, queues, and scalable pipelines

Build intelligent automation systems (e.g., browser agents, workflows)

Implement structured data extraction from unstructured inputs

Work on real-world AI execution systems (not just models)

Collaborate with product and engineering teams

Conduct code reviews and guide junior engineers

Write clean, maintainable, production-grade code

Contribute to architecture and technical decisions

Strong experience in Python

Solid understanding of Machine Learning & NLP

Hands-on experience with LLMs (prompting, fine-tuning, evaluation)

Strong experience with LangChain / LangGraph (or equivalent)

Deep understanding of RAG, embeddings, and vector databases

Proven experience building agent-based systems (MANDATORY)

Proven experience with multi-agent architectures (MANDATORY)

Backend development experience (FastAPI / Node.js)

Strong understanding of system design, async workflows, scalability

Candidates without hands-on experience in agent-based or multi-agent systems will not be considered.

Experience with browser automation (Playwright, Puppeteer)

Experience with job/resume parsing or ATS systems

Knowledge of queue systems (Kafka, Redis, Celery, etc.)

Exposure to distributed systems

Autonomous AI agents executing real-world workflows end-to-end

Multi-agent systems with reasoning, coordination, and execution

Scalable backend systems powering AI-driven products

Production-grade orchestration pipelines

14 years (flexible for strong candidates)

Real project experience > years

78 LPA (based on experience and skills)

Strong builders (not just theoretical knowledge)

System design + execution capability

Clean architecture thinking

Ability to ship real AI systems

Interested candidates can apply and share their work/projects (GitHub, portfolio, case studies) at:

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