We're Hiring: AI Engineer Generative AI, LLMs, Python, FastAPI
Experience: 37 Years
Location: Mumbai / Pune (Hybrid Preferred)
About the Role
We are looking for a skilled AI Engineer (Generative AI) to join our growing team focused on developing cutting-edge AI applications and intelligent automation systems.
In this role, you will design, build, and deploy GenAI-powered solutions using Python, FastAPI, and LLM frameworks, driving innovation across enterprise-grade products.
You will collaborate with data scientists, ML engineers, and backend teams to turn advanced research into scalable production systems that deliver real-world impact.
What You'll Do
- Design and implement Generative AI applications powered by Large Language Models (LLMs) such as GPT, Claude, LLaMA, or Gemini.
- Develop FastAPI-based microservices for AI model inference, orchestration, and integration with product backends.
- Fine-tune and optimize pre-trained LLMs for domain-specific use cases using RAG, LoRA, or PEFT.
- Implement pipelines for prompt engineering, embeddings, and context retrieval to enhance model accuracy and response quality.
- Collaborate with data scientists to evaluate model outputs, refine responses, and ensure alignment with business logic.
- Integrate external APIs (OpenAI, Anthropic, HuggingFace, Azure AI, etc.) into scalable production systems.
- Develop secure, high-performance AI endpoints with proper monitoring, caching, and load management.
- Research and experiment with new architectures, frameworks, and techniques to continuously improve GenAI capabilities.
- Partner with cross-functional teams to deliver innovative AI-driven features in production environments.
What You'll Need
- 37 years of hands-on experience in AI/ML engineering or backend development with strong exposure to Generative AI.
- Proficiency in Python, FastAPI, and RESTful API development.
- Solid understanding of LLMs, prompt design, vector databases (like Pinecone, FAISS, or Chroma), and retrieval pipelines.
- Experience with HuggingFace Transformers, LangChain, LlamaIndex, or similar frameworks.
- Working knowledge of model fine-tuning, embeddings, and RAG-based systems.
- Familiarity with cloud environments (AWS, GCP, or Azure) and MLOps tools for model deployment.
- Strong problem-solving mindset with a focus on scalability, reliability, and maintainability.
- Excellent collaboration skills and ability to work in an agile, fast-paced environment.
Nice to Have
- Experience integrating OpenAI API, Anthropic, or Vertex AI models.
- Knowledge of Docker, Kubernetes, or CI/CD for AI services.
- Exposure to frontend integration for AI-powered user interfaces (Streamlit, React, or similar).
- Experience working with RAG pipelines using FAISS, Pinecone, or Weaviate.
