Senior Full Stack Python Developer

About the job

We are looking for a Senior Full Stack Python Developer who combines strong backend engineering with hands-on DevOps and modern AI/ML capabilities. You will take end-to-end ownership of product features — from architecture to deployment — in a fast-moving, high-ownership environment with direct access to founding leadership. Key Responsibilities: • Design and build scalable backend services and REST/GraphQL APIs using Python (FastAPI / Django / Flask) • Develop responsive frontend interfaces using React.js or Vue.js • Own CI/CD pipelines and infrastructure-as-code using Docker, Kubernetes, Terraform, and GitHub Actions • Manage and optimize cloud infrastructure on AWS / GCP / Azure — serverless, containers, and managed databases • Integrate LLM and AI/ML APIs (OpenAI, Anthropic Claude, Hugging Face) into production workflows • Design and maintain data stores — PostgreSQL, MongoDB, Redis, and vector databases • Implement observability and alerting using Prometheus, Grafana, or Datadog • Conduct code reviews and establish engineering best practices Required Skills: Backend • Python 3.x — FastAPI, Django REST Framework, or Flask • REST APIs, GraphQL, microservices, event-driven architecture • Message brokers: Kafka, RabbitMQ, or AWS SQS • Testing: Pytest (unit, integration, e2e) Frontend • React.js (hooks, Redux, context) or Vue.js • TypeScript, HTML5, CSS3, Vite / Webpack DevOps & Cloud • Docker, Kubernetes, Helm • CI/CD: GitHub Actions, GitLab CI, or Jenkins • Infrastructure as Code: Terraform or AWS CDK • AWS (Lambda, ECS, RDS, S3, CloudFront) or GCP / Azure equivalent • Linux, bash scripting, IAM, secrets management AI / ML • LLM API integrations — OpenAI, Anthropic, Gemini • RAG pipelines, vector databases (Pinecone, pgvector, Weaviate) • Prompt engineering and AI cost optimization • Familiarity with PyTorch, TensorFlow, or scikit-learn Databases • PostgreSQL / MySQL — schema design, query optimization • MongoDB, DynamoDB • Redis for caching and sessions Qualifications: • 5+ years of professional software development, with 3+ years in Python backend • Proven production experience with DevOps toolchains and cloud infrastructure • Demonstrable experience integrating AI/ML in production environments • Strong communication and ability to document architecture decisions • B.Tech / M.Tech / B.Sc in Computer Science or equivalent practical experience Nice to Have: • Early-stage startup or founder-adjacent experience • AWS / GCP / Azure certifications • Open-source contributions • Familiarity with data engineering tools (Airflow, dbt).