AI/ML Engineer

TechPivot; Chandigarh; Presencial; INR 1.800.000 - 4.000.000; Jornada completa

Descripción de la vacante

TechPivot in India/Chandigarh is hiring for an AI Research role to build agentic AI systems and generative AI solutions for enterprise clients, covering LLM fine-tuning, RAG pipelines, and production-grade agent orchestration.

You will design, train, and evaluate models, build RAG retrieval systems, and deploy autonomous AI agents for workflow automation, collaborating with engineering to productionize research prototypes.

Formación

• Hands-on ML/AI engineering experience with production systems.
• Strong Python programming skills and deep learning frameworks (PyTorch or TensorFlow).
• Practical experience with LLMs: prompting, fine-tuning, or RAG.
• Understanding of ML deployment and serving infrastructure.
• Able to explain technical tradeoffs to non-technical stakeholders.

Responsabilidades

• Design, train, and evaluate ML models for client AI products.
• Build and optimize RAG pipelines and retrieval systems for enterprise knowledge bases.
• Develop and deploy autonomous AI agents for workflow automation.
• Collaborate with engineering to productionize research prototypes.
• Stay current with the AI/ML landscape and evaluate new techniques for client use cases.

Conocimientos

Hands-on ML/AI engineering

Python

PyTorch or TensorFlow

LLMs—prompting/fine-tuning/RAG

ML deployment & serving infra

Explain tradeoffs to non-technical

Herramientas

LangChain

LlamaIndex

Descripción del empleo

Join our AI Research team building agentic AI systems and generative AI solutions for enterprise clients. You'll work on everything from LLM fine-tuning and RAG pipelines to production-grade agent orchestration.

What you'll do

• Design, train, and evaluate machine learning models for client-facing AI products
• Build and optimize RAG pipelines and retrieval systems for enterprise knowledge bases
• Develop and deploy autonomous AI agents for workflow automation
• Collaborate with engineering to productionize research prototypes
• Stay current with the fast-moving AI/ML landscape and evaluate new techniques for client use cases

What you'll need

• 3+ years of hands-on ML/AI engineering experience
• Strong Python skills and experience with PyTorch or TensorFlow
• Practical experience with LLMs — prompting, fine-tuning, or RAG architectures
• Understanding of ML deployment and serving infrastructure
• Ability to explain technical tradeoffs to non-technical stakeholders

Nice to have

• Experience with agent frameworks (LangChain, LlamaIndex, or similar)
• Published research or open-source contributions in NLP/ML