<p></p><p>We are looking for a highly skilled Senior Python Developer with strong backend development expertise and working knowledge in integrating AI/ML models, especially around LLMs and modern NLP applications.
This role requires strong hands-on experience with FastAPI, RESTful services, SQL/NoSQL databases, and practical exposure to AI/ML technologies such as TensorFlow, PyTorch, LangChain, and RAG pipelines.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, develop, and maintain scalable RESTful APIs using FastAPI/Django/Flask.<br/><br/>- Integrate backend systems with AI/ML models including LLMs, vector databases, and RAG-based pipelines.<br/><br/>- Collaborate with Data Scientists and AI Engineers to deploy NLP models into production.<br/><br/>- Build and manage asynchronous tasks, WebSocket handlers, and background jobs.<br/><br/>- Optimize and refactor legacy code for performance and maintainability.<br/><br/>- Work with DevOps to deploy microservices securely using containers (Docker) and CI/CD pipelines.<br/><br/>- Design database schemas, write performant queries (SQL/ORM), and manage data migrations.<br/><br/><b>Required Skills & Experience : </b><br/><br/><b>Core Backend Development : </b><br/><br/>- 5+ years of experience with Python 3.7+<br/><br/>- Strong knowledge of FastAPI (preferred), Flask, or Django REST Framework<br/><br/>- Proficient in developing RESTful APIs, authentication mechanisms (OAuth2, JWT)<br/><br/>- Experience with SQL (PostgreSQL, MariaDB, MySQL) and ORMs like SQLAlchemy<br/><br/>- Familiar with NoSQL (MongoDB, Redis) and caching techniques<br/><br/>- Writing unit/integration tests with Pytest, unittest<br/><br/><b>AI/ML/NLP Experience : </b><br/><br/>- Hands-on with TensorFlow or PyTorch for model training/inference<br/><br/>- Experience with Natural Language Processing (NLP) techniques<br/><br/>- Familiarity with LLMs like OpenAI GPT, Cohere, Mistral, or LLaMA<br/><br/>- Understanding of RAG (Retrieval Augmented Generation) and tools like LangChain, Haystack<br/><br/>- Knowledge of vector databases (Pinecone, FAISS, Weaviate)<br/><br/><b>Cloud & DevOps (Good to Have) : </b><br/><br/>- Experience deploying applications on AWS, Azure, or GCP<br/><br/>- Docker & Kubernetes knowledge for scalable deployments<br/><br/>- Familiar with Git, CI/CD pipelines, Nginx, Gunicorn/Uvicorn<br/><br/><b>Bonus Points : </b><br/><br/>- Experience with real-time systems (SIP/WebRTC/VoIP)<br/><br/>- Knowledge of GraphQL, gRPC<br/><br/>- Background in audio/speech processing, ASR, or transcription APIs</p><br/><p></p> (ref:hirist.tech)