PX-Gen AI Engineer-1

Overview

Role Overview

We are seeking a highly skilled PX-Gen AI Engineer to join our team in building, training, and deploying advanced Generative AI solutions. This is a hands-on role involving cutting-edge work in LLMs, NLP, and Agentic AI, aimed at driving innovation in real-world consumer applications.

Key Responsibilities

• Fine-tune and optimize Large Language Models (LLMs) for specific domains and use cases.
• Deploy Generative AI models into production environments using AWS, Azure, and Docker.
• Develop and maintain RESTful APIs for AI services using Flask or FastAPI.
• Implement NLP-based solutions, including semantic search and indexing capabilities.
• Conduct model evaluation, experimentation, and apply Agentic AI frameworks.
• Collaborate with cross-functional teams to ensure scalable and reliable AI system integration.
• Stay up to date with the latest advancements in Gen AI, LLM evaluation, and NLP.

Required Skills

• Strong proficiency in Python programming.
• Hands-on experience with frameworks and tools like:
• LangChain, LangGraph
• PyTorch, SpaCy, DSPy
• Cloud deployment experience with AWS or Azure.
• API development using Flask or FastAPI.
• Knowledge of Agentic AI, LLM evaluation, Docker, Model Checkpointing & Packaging (MCP).

Qualifications

• B.Tech / M.Tech / Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• 5–7 years of experience in Machine Learning / AI, with a strong focus on Generative AI and LLMs.

Job Type: Full-time

Pay: ₹25,000.00 - ₹30,000.00 per month

Application Question(s):

• Do you have 5–7 years of experience in ML/AI with a strong focus on Gen AI.
• Are you from B.Tech/M.Tech/Masters in Computer Science or AI-related field
• Do you have Strong experience in programming in Python.
• Do you have Hands-on with LangChain, LangGraph, PyTorch, SpaCy, DSPy.
• Do you have Cloud integration experience with AWS/Azure.
• Do you have experience in API development using Flask, FastAPI.
• Do you have Knowledge of Agentic AI, LLM evaluation, Docker, MCP.

Education:

• Bachelor's (Preferred)

Work Location: In person