Senior Python Developer

Senior Python Developer – AI-Driven Development & Modern Tooling Experience: 7+ years in Python development with exposure to AI and productivity tooling

Number of open positions – 2 Working hours – For initial 3 months 3.30PM- 12.30AM IST, 4th month onwards 1.30PM -10.30PM IST

Job Summary: We are looking for a Senior Python Developer who thrives in a fast-paced, tech-forward environment, using AI-assisted tools and intelligent automation to build scalable, high-performance applications. This role is for an engineer who is hands-on with Python and embraces Productive AI tools (e.g., GitHub Copilot, ChatGPT etc.) to enhance coding speed, code quality, and innovation.

Key Responsibilities: ● Design and develop scalable, efficient Python-based applications using frameworks like Fast API, Flask, or Django. ● Build and deploy AI-enhanced features using OpenAI, Hugging Face Transformers, or Lang Chain. ● Leverage Productive AI tools (e.g., GitHub Copilot, ChatGPT, AutoGen) to accelerate development, code refactoring, and unit test generation. ● Develop and deploy microservices and APIs as part of a cloud-native application stack. ● Integrate and deploy LLMs, chatbots, and RAG pipelines (Retrieval Augmented Generation) into production workflows. ● Automate common tasks using Python scripting, CLI tools, and DevOps automation practices. ● Use Docker, Kubernetes, and cloud services (AWS Lambda, Azure Functions, GCP Cloud Run) for deployment and orchestration. ● Create and manage CI/CD pipelines and IaC templates (Terraform, Pulumi) for rapid provisioning. ● Collaborate with cross-functional teams including product, DevOps, and data science.

Required Skills ● 7+ years of solid experience in Python 3.10+ and related ecosystems. ● Strong backend development expertise with Fast API, Flask, or Django. ● Hands-on with AI/ML model integration – OpenAI, Hugging Face, or custom ML workflows. ● Proficient with GitHub Copilot, ChatGPT API, or other AI pair programming tools. ● Familiar with Lang Chain, Llama Index, or similar frameworks for AI workflow orchestration. ● Experience with containerization (Docker), orchestration (Kubernetes), and cloud-native apps. ● Good working knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis). ● Strong foundation in REST APIs, async programming, task queues, and caching mechanisms. ● Agile mindset and familiarity with tools like Jira, Git, GitHub/GitLab, Azure DevOps. ● Experience building apps with Generative AI or LLM pipelines (e.g., RAG, vector search). ● Exposure to vector databases: Pinecone, Weaviate, FAISS, or Chroma DB. ● Familiarity with AutoGen, Open Devin, Devika, or other AI agent frameworks. ● Proficiency in AI-powered testing, code linting, and documentation tools. ● Interest or experience with low-code/no-code AI tooling or AI-driven UI generation. ● Contribution to open-source or personal AI-assisted coding projects is a plus