AL/LLM Engineer with Python

15 hours ago


Hyderabad, Telangana, India Avirasoft Digital Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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

Preferred candid

Job Title: Lead AI / LLM Engineer

Location: Hybrid / Remote

Department: AI & Data Science

Company: Avira Digital

About the Role

We are looking for an experienced Lead AI / LLM Engineer to drive the design, development, and deployment of advanced AI and GenAI solutions. This role will focus on LLM fine-tuning, prompt optimization, model evaluation, and production deployment for real-world enterprise use cases.

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. ate profile

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