Senior Software Engineer - Python/Agentic AI - EU Remote

Senior Software Engineer - Python/Agentic AI - EU Remote

Level

Senior Department

Python Type

Full Time Project

NDA Locations

Remote Job Details

Posted on: July 5, 2026 Job ID: 4kPyGQ About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Required skills

• 7+ years of professional full-stack or backend engineering experience.
• 2+ years of experience building agents or agentic workflows in production at scale within a distributed system architecture.
• Proficiency in high-scale AI-based development, utilizing tools like Claude Code, Cursor, or Copilot.
• Experience with GraphQL or REST and designing scalable, cloud-based distributed architectures.
• Comfortable with AWS (K8S, Serverless, Event-driven), messaging (SQS, SNS) and databases (PostgreSQL, DynamoDB, MongoDB).
• Proven expertise building autonomous agentic systems using frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, or Hermes.
• Fluent in Python (preferred) or TypeScript/Go/Rust.
• Solid background with the AWS stack, including Kubernetes (K8S), Terraform (IaC), and CI/CD.
• Experience with frontend stack (NextJS, React.js, or similar) is a plus.

Scope of work

• Design and deliver agentic workflows and scalable microservices, primarily using Python, within a distributed system architecture.
• Lead the integration of Generative AI capabilities, including LLM APIs, RAG pipelines, and agentic workflows into production systems.
• Implement operational practices, observability, and autonomous monitors to ensure AI reliability in production.
• Drive overall engineering quality and speed by implementing AI-SDLC practices, ensuring high standards through rigorous code reviews, test automation, and continuous quality evaluation.
• Evaluate emerging AI tooling, mentor fellow engineers, and contribute directly to the technical roadmap.