Sr. GenAI Developer

We are looking for a highly skilled Generative AI (GenAI) Developer with deep expertise in Python development to design, build, and deploy AI-powered applications. The ideal candidate will have a strong background in large language models (LLMs), machine learning, and enterprise-grade Python solutions. This role requires hands-on experience in integrating GenAI technologies with robust, production-ready Python systems

Responsibilities
Design and develop GenAI applications leveraging LLMs (OpenAI, Hugging Face, Anthropic, Llama, etc.).
Build and maintain Python-based APIs, microservices, and pipelines for GenAI integration.
Fine-tune and optimize pre-trained models for domain-specific use cases.
Implement prompt engineering strategies to improve model performance.
Work with vector databases (Pinecone, Weaviate, FAISS, Milvus) to enable RAG-based solutions.
Collaborate with cross-functional teams (data scientists, engineers, business) to deliver scalable AI-driven solutions.
Deploy and monitor GenAI models in cloud environments (AWS, Azure, GCP).
Apply MLOps best practices (CI/CD, Docker, Kubernetes, MLflow, Kubeflow) for model lifecycle management.
Conduct research on emerging Python libraries and GenAI frameworks (LangChain, LlamaIndex, Transformers, PyTorch, TensorFlow).
Required Skills & Qualifications:
5+ years of Python development experience with strong expertise in object-oriented design, data structures, and algorithms.
Proven experience in machine learning / deep learning with PyTorch or TensorFlow.
Strong knowledge of LLMs and GenAI frameworks (LangChain, Hugging Face Transformers, LlamaIndex).
Hands-on experience in API development (FastAPI, Flask, Django).
Proficiency in working with databases (SQL/NoSQL) and vector databases.
Experience with cloud AI services (AWS Sagemaker, Azure OpenAI, GCP Vertex AI).
Strong debugging, performance optimization, and testing skills in Python.
Knowledge of data pipelines, ETL, and orchestration (Airflow, Prefect, Luigi) is a plus