Experience:5+ years total experience | 1+ years in Generative AI
Location:Ahmedabad
About the Role:
This position is part of ourPlatform Development team, focused on building an advancedAI-driven platform designed to accelerate the Software Development Life Cycle (SDLC)usingAgentic 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 experiencedAI/ML Engineerwith a solid foundation in Machine learning, Artificial Intelligence and at leastone year of hands-on experience in Generative AI. The ideal candidate will have strong proficiency inPython,LLM Models, and emerging techniques such asRetrieval-Augmented Generation (RAG),model fine-tuning, andagentic 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 ongenerative models and LLMs.
- Implement and optimizeRAG pipelinesfor knowledge-aware AI systems.
- Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications.
- Build and manageagentic AI systemscapable 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 inGenerative AIprojects.
- Proficient inPythonand common ML libraries (e.g., PyTorch, scikit-learn).
- Strong understanding ofLarge Language Models (LLMs)and transformer architectures.
- Experience buildingRAG pipelinesand integrating vector search systems.
- Hands-on experience withmodel fine-tuningusing LoRA, PEFT, or Hugging Face Transformers.
- Experience developingagentic AI systemsusing 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
