The role involves developing Python services and LLM features, building RESTful APIs, optimizing Python code, and collaborating with ML engineers and product managers. You'll stay updated with AI technologies and propose innovative solutions.
Responsibilities:
- Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask.
- Implement and optimize Retrieval Augmented Generation (RAG) systems;
- Profile and optimize Python code to enhance performance;
- Collaborate with cross-functional teams, including ML engineers and product managers, to deliver high-quality products;
- Write clean, maintainable, and well-documented code;
- Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.
Requirements:
- Strong proficiency in Python;
- Solid understanding of OOP, design patterns, and clean architecture;
- Experience building RESTful APIs with FastAPI, Django REST, or Flask;
- Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock);
- Experience building RAG systems;
- Proficiency with AI-assisted development (Claude Code, Cursor, Copilot);
- Experience with Docker and Kubernetes;
- Understanding of microservices and event-driven architectures;
- Experience with AWS (Lambda, ECS, Bedrock, S3, SQS);
- Proficiency with SQL (Postgres), NoSQL (DynamoDB, Redis), and vector databases;
- Strong testing practices: pytest, mocking, integration tests for AI systems;
- Experience with observability tools (OpenTelemetry, structured logging);
- English: Upper-Intermediate or higher;
- Excellent communication and problem-solving skills.
- Experience with agentic frameworks (LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK);
- Familiarity with prompt engineering and management at scale;
- Experience with LLM evaluation frameworks (RAGAS, custom metrics, deepeval);
- Experience with Streamlit or Gradio for AI prototyping;
- Modern Python tooling (ruff, uv, pyproject.toml, pyright);
- CI/CD pipeline experience (GitHub Actions, GitLab CI);
- Experience in another language (Go, Node.js, Rust).
Nice to Have:
What We offer:
- Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications;
- Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work.
- Long-term B2B collaboration;
- 100% remote — with flexible hours;
- Collaboration with an international, cross-functional team;
- Comprehensive private medical insurance or budget for your medical needs;
- Paid sick leave, vacation, and public holidays;
- Equipment and all the tech you need for comfortable, productive work;
- Special gifts for weddings, childbirth, and other personal milestones.
Interview stages:
- Recruitment Interview;
- Tech interview;
- HM Interview.
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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
