Summary: Seeking a Senior Python Developer to drive the development of an enterprise-grade agentic AI platform built on Python and AWS, playing a key role in architectural decisions. Highlights: 1. Drive development of enterprise-grade agentic AI platform 2. Key role in architectural decisions and system evolution 3. Integrate AI agents into workflow automation processes We are seeking a **Senior Python Developer** to join our team and drive the development of an enterprise\-grade agentic AI platform built on Python and AWS. This platform orchestrates AI agents powered by Anthropic Claude to automate complex professional workflows. You will play a key role in architectural decisions and ensure production reliability across a multi\-environment deployment pipeline. **Responsibilities** * Collaborate with cross\-functional teams to deliver high\-quality AI\-driven solutions * Participate in architectural design and system evolution discussions * Develop and maintain scalable backend services and APIs * Ensure reliability and performance across multiple deployment environments * Conduct code reviews and provide mentorship to engineering team members * Manage technical debt and implement best practices for maintainability * Integrate AI agents into workflow automation processes * Monitor and troubleshoot production systems for optimal uptime * Document technical decisions and maintain clear communication with stakeholders **Requirements** * Minimum 3 years of professional software engineering experience * Strong proficiency in Python 3\.11\+ with expertise in async/await patterns for building concurrent applications * Experience with FastAPI for developing production REST APIs, including dependency injection, middleware, and SSE streaming * Hands\-on experience with large language models (LLM) and their integration into backend systems * Familiarity with AWS Bedrock \& AgentCore for managed LLM hosting and serverless agent runtime environments * Ability to define and manage cloud infrastructure programmatically using AWS CDK (Infrastructure as Code) across multiple accounts and environments * Proficiency in SQL for data storage and retrieval in distributed systems * Demonstrated ability in system design and architecture for distributed, scalable platforms * Proven technical leadership skills, including architectural trade\-offs, code reviews, managing technical debt, and mentoring engineers * Fluent English skills (written and spoken) at B2\+ level or higher **Nice to have** * Experience with Pydantic for data modeling and modular package design within a mono repo (uv workspaces) * Hands\-on AI agent engineering, including integrating large language models (preferably Anthropic Claude), prompt engineering, tool/skill orchestration, and agent delegation patterns * Working knowledge of AWS Cloud Services such as EKS (Kubernetes), RDS (PostgreSQL), S3, Redis, ECR, and Cognito for scalable infrastructure * Experience with SQLAlchemy (async), Alembic migrations, and PostgreSQL for advanced data layer management * Proficiency with CI/CD pipelines using GitHub Actions, Docker (multi\-stage builds), and automated deployment workflows across CI/INT/QA/PROD environments * Experience with React 18, Zustand, TanStack Query, and Vite for building modern frontend applications using React \+ TypeScript * Familiarity with LLM observability and evaluation tools like Langfuse, Promptfoo, or similar platforms for tracing, evaluating, and monitoring LLM behavior * Experience implementing distributed tracing and application monitoring with OpenTelemetry and Datadog * Knowledge of security and compliance tooling such as SonarQube, Snyk, or equivalent for code quality and vulnerability scanning * Familiarity with load and performance testing tools like Artillery for testing distributed services * Experience building maintainable, template\-driven prompt systems for LLM applications using Jinja2 prompt templating