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Luxoft is an IT consulting and software engineering services firm that provides bespoke technology solutions to external clients, often operating as a staff augmentation or professional services provider.

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Posted 5d ago

Senior Python/AI Engineer

@ Luxoft
View All Jobs
Bengaluru, Karnataka, India
OnsiteFull Time
Responsibilities:developing PoCs, integrating LLMs, deploying solutions
Requirements Summary:8+ years AI/ML development, advanced Python, experience with TensorFlow or PyTorch, LLM expertise (GPT/Claude/LLaMA), LangChain/LangGraph experience, and strong data science and fine-tuning skills.
Technical Tools Mentioned:Python, TensorFlow, PyTorch, GPT, Claude, LLaMA, LangChain, LangGraph, Transformer
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Job 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

Other

Languages: English: C1 Advanced

Seniority: Senior