AL/LLM Engineer with Python

We are looking for both lead AILLM ENg-1, Mid lever AILLM Eng-2

Preferred candid

Job Title: Lead AI / LLM Engineer

Location:

About the Role

Lead AI / LLM Engineer

You will lead a small team of ML and AI engineers, collaborating closely with product and architecture teams to deliver scalable and intelligent AI solutions.

Key Responsibilities

• Lead end-to-end development of AI and GenAI projects — from data preparation to deployment.
• Design, fine-tune, and optimize

  Large Language Models (LLMs)

  for domain-specific use cases.
• Build and manage

  RAG (Retrieval-Augmented Generation)

  pipelines and

  agentic AI systems

  .
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Evaluate model performance, optimize accuracy, and ensure reliability and efficiency.
• Mentor junior engineers and contribute to building the internal AI knowledge base.
• Stay updated on the latest research in GenAI, multimodal learning, and transformer architectures.

Required Skills & Experience

• 6 years of overall experience in

  Machine Learning / AI

  , with at least 2+ years in

  LLM / GenAI

  projects.
• Proficiency in

  Python

  and frameworks such as

  PyTorch, TensorFlow, Transformers (Hugging Face)

  .
• Proven experience in

  fine-tuning and deploying LLMs

  (e.g., GPT, Llama, Falcon, Mistral, etc.).
• Strong understanding of

  NLP, text embeddings, vector databases (FAISS, Pinecone, Chroma)

  .
• Experience with

  LangChain

  /

  LlamaIndex

  and

  prompt engineering

  .
• Hands-on with

  cloud environments (AWS / Azure / GCP)

  and

  containerization (Docker, Kubernetes)

  .
• Knowledge of

  MLOps, CI/CD for ML pipelines

  , and version control (Git).

Good to Have

• Experience in

  multimodal AI

  (text, image, voice).
• Exposure to

  open-source LLMs

  and

  custom fine-tuning techniques

  (PEFT, LoRA, QLoRA).
• Understanding of

  data privacy, AI governance, and responsible AI practices

  .
• Prior experience in leading small AI/ML teams.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication and stakeholder management skills.
• Ability to drive innovation and foster a learning culture within the team.

Education

• Bachelor’s or Master’s in

  Computer Science, Data Science, Artificial Intelligence

  , or related field.

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