Job Title: Python + GenAI Developer
Location: Pune (Onsite)
Total Experience Required: 4 Years
GenAI Experience: Minimum 6 Months
Job Description
We are seeking a skilled Python + GenAI Developer with strong experience in Django or FastAPI, hands-on exposure to Generative AI, and practical experience working on cloud platforms. The ideal candidate will be responsible for building scalable applications, integrating GenAI models, and deploying solutions in a cloud environment.
Key Responsibilities
- Develop and maintain backend services using Python with Django/FastAPI.
- Build, fine-tune, and integrate Generative AI models into applications (LLMs, embeddings, agents, RAG, etc.).
- Work on API development, microservices architecture, and scalable backend systems.
- Deploy and manage applications on cloud platforms such as AWS / Azure / GCP.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure high performance, availability, and security of applications.
- Troubleshoot, optimize performance, and maintain code quality through best practices.
Required Skill Set
- 4 years of overall development experience.
- Strong expertise in Python programming.
- Experience working with Django or FastAPI frameworks.
- Minimum 6 months of hands-on experience in GenAI (LLMs, transformers, RAG, model integration, prompt engineering).
- Experience with one or more cloud platforms (AWS, Azure, or GCP).
- Understanding of CI/CD pipelines, Docker, and version control (Git).
- Good understanding of REST APIs, microservices, and system architecture.
Good to Have
- Experience with vector databases (FAISS, Pinecone, ChromaDB).
- Knowledge of ML pipelines, TensorFlow/PyTorch basics.
- Exposure to MLOps tools and frameworks.
- Knowledge of front-end technologies is a plus.
Employment Details
- Location: Pune (Onsite)
- Joining: Immediate or short notice preferred
Job Type: Full-time
Pay: Up to ₹1,800,000.00 per year
Experience:
- Total Work: 4 years (Required)
- Python: 3 years (Required)
- GenAi: 1 year (Required)
Work Location: In person