AI Engineer

People Consultancy Services (PCS); Mumbai; On-site; INR 1,200,000 - 1,500,000; Full time

Benefits offered by this job

High ownership

Transparent culture

Fast learning curve

Competitive compensation

Job summary

People Consultancy Services (PCS) is seeking an LLM engineer to build and deploy AI models, chatbots, and automation workflows. You will work with NLP, ML, CV, OCR, and DL, exploring self-hosted LLMs like Llama 2, Mistral 7B, and Falcon.

Collaboration with teams will deliver scalable AI solutions and robust backend APIs to support AI-driven offerings. The role requires strong Python skills, LangChain expertise, and hands-on experience with LLMs, AI apps, automation, and chatbots, along with

Qualifications

• Strong proficiency in Python (mandatory).
• LangChain experience for building AI workflows.
• Hands-on with LLMs, AI apps, agentic AI, automation and chatbots.
• Working knowledge of SQL, MongoDB, and AWS/Azure basics.

Responsibilities

• Build and deploy AI models, chatbots, and automation workflows.
• Work with NLP, ML, Computer Vision, OCR, and Deep Learning.
• Explore and manage self-hosted LLMs (Llama 2, Mistral 7B, Falcon, etc.).
• Collaborate with teams to deliver scalable AI solutions.
• Design and implement backend APIs to support AI-driven solutions.

Skills

Python

LangChain

LLMs

AI workflows

Automation

Chatbots

Agentic AI

Tools

SQL

MongoDB

AWS

Azure

Power BI

n8n

UiPath

Power Automate

Job description

There will be a single round of interview.

The candidate will be on our payroll.

JD:

Tech Stack and Responsibilities:

• Build and deploy AI models, chatbots, and automation workflows.
• Work with NLP, ML, Computer Vision, OCR, and Deep Learning.
• Explore and manage self-hosted LLMs (Llama 2, Mistral 7B, Falcon, etc.).
• Collaborate with teams to deliver scalable AI solutions.
• Design and implement backend APIs to support AI-driven solutions.

Requirements:

• Strong proficiency in Python (mandatory).
• Experience with LangChain for building AI workflows.
• Hands-on exposure to LLMs, AI apps, agentic AI, automation, and chatbots.
• Working knowledge of SQL, MongoDB, and AWS/Azure basics.

Good-to-Have Skills:

• Familiarity with BI tools: Power BI.
• Exposure to AI platforms/APIs.
• Exposure to automation and integration tools: n8n, UiPath, Microsoft Power Automate.

What We Offer:

• High-ownership role with direct product impact as a LLM engineer.
• Transparent, collaborative culture.
• Fast learning curve with cutting-edge tech.
• Competitive compensation.