AI/ML Engineer

22 hours ago

Ahmedabad, Gujarat, India BlueGenAI Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Experience:
 5+ years total experience | 1+ years in Generative AI

Location:
 Ahmedabad

About the Role:

This position is part of our 
Platform Development team

, focused on building an advanced 
AI-driven platform designed to accelerate the Software Development Life Cycle (SDLC)

using 
Agentic AI, Generative AI, and intelligent automation workflows

. You will work on architecting core platform capabilities that empower engineering teams to plan, design, code, test, and deploy faster through autonomous AI agents.

Job Summary:

We are seeking an experienced 
AI/ML Engineer
 with a solid foundation in Machine learning, Artificial Intelligence and at least 
one year of hands-on experience in Generative AI
. The ideal candidate will have strong proficiency in 
Python
, 
LLM Models
, and emerging techniques such as 
Retrieval-Augmented Generation (RAG)
, 
model fine-tuning
, and 
agentic AI systems
. You will be responsible for building innovative solutions leveraging the latest in AI technology to solve real-world problems.

Key Responsibilities:

  • Design, develop, and deploy AI/ML solutions with an emphasis on 
    generative models and LLMs
    .
  • Implement and optimize 
    RAG pipelines
     for knowledge-aware AI systems.
  • Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications.
  • Build and manage 
    agentic AI systems
     capable of autonomous planning and decision-making.
  • Work closely with cross-functional teams to identify use cases and deliver scalable AI-powered features.
  • Stay up to date with the latest developments in AI/ML and contribute to internal knowledge sharing.

Required Skills & Qualifications:

  • 5+ years of experience in AI/ML development.
  • Minimum 1 year of hands-on experience in 
    Generative AI
     projects.
  • Proficient in 
    Python
     and common ML libraries (e.g., PyTorch, scikit-learn).
  • Strong understanding of 
    Large Language Models (LLMs)
     and transformer architectures.
  • Experience building 
    RAG pipelines
     and integrating vector search systems.
  • Hands-on experience with 
    model fine-tuning
     using LoRA, PEFT, or Hugging Face Transformers.
  • Experience developing 
    agentic AI systems
     using frameworks like LangChain, AutoGen, or custom orchestration logic.
  • Experience on working with cloud platforms

Tools & Technologies:

  • Frameworks & Libraries:
     LangChain, LlamaIndex, AutoGen, PyTorch, TensorFlow
  • Model Providers:
     OpenAI, Anthropic, Llama, Mistral
  • Vector Stores:
     FAISS, Pinecone, Milvus
  • APIs & Services:
     REST, GraphQL
  • DevOps & Infra:
     Docker, AWS/GCP/Azure

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