- Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models).
- Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use.
- Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools.
- Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems.
- Optimize inference pipelines for performance, latency, and scalability.
- Collaborate with product managers and data scientists to prototype and productionize AI features.
- Stay updated on recent advancements in Generative AI and autonomous agents.

Required Qualifications:

- 3 4 years of hands-on experience in Machine Learning / Deep Learning, with at least 1 2 years in Generative AI and/or AI Agents.
- Proficiency in Python and ML libraries such as PyTorch, TensorFlow,



Transformers (Hugging Face).
- Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications.
- Solid understanding of prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and multi-modal learning.
- Familiarity with agent orchestration frameworks and LLM tool chaining.

Role: Full Stack Developer

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: Any Graduate

PG: Any Postgraduate

Skills: Machine Learning, Deep Learning, Prototype, Orchestration, Scalability, Deployment, Transformers, Python

Experience: 4.00-9.00 Years

📌 AL/ML Developer (Pune)
🏢 Nihilent
📍 Pune