
Lead GenAi
6 days ago
- Job Title -
Lead Generative AI - Data Scientist - Experience Range -
05 to 10 Years - Job Location -
Trivandrum or Pune
Overview
We are seeking a highly skilled and motivated
Generative AI Engineer
to lead initiatives at the intersection of AI agents, LLMOps, and scalable ML systems. You will play a pivotal role in building and deploying cutting-edge GenAI solutions, with a focus on autonomous agents and agent frameworks. If you're passionate about the evolving landscape of generative models, eager to push the boundaries of what's possible, and ready to lead a high-performing team — we want to hear from you.
Key Responsibilities
- Design, develop, and implement AI agents capable of autonomous decision-making and action
using frameworks like LangChain, langGraph, AutoGen, CrewAI, or other opensource frameworks such as mistral. - Architect, design, and deploy
LLM-based applications
across various domains. Develop, experiment with, and validate Gen AI applications aligning with business objectives.
Model Development: Design, train, and optimize state-of-the-art generative AI models, including fine-tuning, prompt engineering, and model alignment techniques.
Integrate AI developments for productive use in existing workflows and solutions
- Contribute to continuously improve and optimize AI solutions to enhance their accuracy, scalability, optimize computational and cost efficiency, and compliance with rules and standards.
- Drive initiatives in
LLMOps
, including prompt management, fine-tuning workflows, evaluation, monitoring, and versioning. - Implement robust
ML algorithms
and pipelines to support GenAI functionality. - Ensure scalability, reliability, and performance of AI-driven solutions.
- Collaborate with cross-functional teams including product, infrastructure, and design.
- Mentor junior engineers and provide technical leadership to the AI team.
- Stay ahead of the curve on research and innovation in generative AI and ML.
Required Skills & Experience
- 6+ years
of experience in AI/ML, with
2+ years in Generative AI or LLMs
. - Hands-on experience with
agent frameworks
(LangChain, AutoGen, CrewAI, LLAMAIndex etc.). - Strong foundation in
machine learning algorithms
, NLP, and deep learning. - Proven expertise in
LLMOps tools and techniques - Experience in AI Agents and Agentic AI is an added advantage
- Experience is in Mistral Ai, AWS bedrock models (Claude , Nova, etc.,)
- Experience in pydantic
- Solid understanding of
model deployment
, containerization (Docker), and cloud platforms (AWS, GCP, or Azure). - Deep hands-on experience with
Transformers
and
transformer-based - Programming proficiency in
Python
and relevant ML/AI libraries (PyTorch, Huggingface, etc.). - Experience leading and mentoring engineering teams.
- Excellent communication, problem-solving, and collaboration skills.
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