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Senior Python/AI Engineer

Luxoft
Bengaluru, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 1 weeks ago
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.

Full Job Posting

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.
  • 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

Qualifications

  • 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.

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