Senior Python/AI Engineer
Develop AI solutions and integrate LLMs into applications for an agriculture client, building PoCs and R&D features using Python, LangChain, and AI frameworks like TensorFlow/PyTorch.
- Compensation
- Not disclosed
- Location
- Pune, IN
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 8+ years of experience in AI/ML development
- Advanced proficiency in Python
- Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch)
- Expertise in at least one LLM (e.g., GPT, Claude, LLaMA)
- Solid foundation in Data Science and statistical modeling
- Experience with Agentic Workflows using LangChain-based agents
- Hands-on experience with LangGraph (e.g., hackathons or MCPs)
- Deep understanding of fine-tuning techniques for LLMs
- Hands-on experience with Transformer architecture and its evolution
Nice to have
- Knowledge of Multiple LLMs and their adoption in commercial projects
Full description
Project description
Our client, one of the leading Agriculture Companies, is modernising their landscape and adopting AI and innovations in their process.
We are seeking a highly skilled and innovative Python/AI Engineer to join our team. The ideal candidate will be responsible for developing cutting-edge AI solutions, creating Proof of Concepts (PoCs), and integrating Large Language Models (LLMs) into our application landscape. This role involves close collaboration with business stakeholders and R&D teams to drive AI adoption and deliver impactful results.
Responsibilities
- Design and develop PoCs and present them to business stakeholders.
Build and deploy innovative AI solutions using state-of-the-art models.
Integrate LLMs into existing and new applications.
Develop new functionalities within R&D applications.
Promote and implement best process practices across AI development workflows.
SKILLS
Must have
- 8+ years of experience in AI/ML development.
Advanced proficiency in Python.
Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).
Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).
Solid foundation in Data Science and statistical modeling.
Experience with Agentic Workflows using LangChain-based agents.
Hands-on experience with LangGraph (e.g., hackathons or MCPs).
Deep understanding of fine-tuning techniques for LLMs.
Hands-on experience with Transformer architecture and its evolution from earlier models.
Nice to have
Knowledge of Multiple LLMs and their adoption in commercial projects