PX-Gen AI Engineer-1
7 days ago
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, ₹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
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