Senior AI/ML Engineer

Luxoft; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading Agriculture Company in India is seeking a highly skilled Python/AI Engineer. You will develop cutting-edge AI solutions and integrate LLMs into applications. The ideal candidate has 6+ years of AI/ML experience and proficiency in Python, along with a strong understanding of AI frameworks. This role offers a full-time position with opportunities for innovation and collaboration in AI development.

Qualifications

• 6+ 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).

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.

Skills

AI/ML development

Python programming

AI frameworks

LLM expertise

Data Science

LangChain workflows

Transformer architecture

Job 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.

REQUIREMENTS

• 6+ 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‑of experience on Transformer architecture and its evolution from earlier models.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• IT Services and IT Consulting