Senior Software Engineer - Python/Agentic AI - EU Remote

Level

Senior

Department

Python

Type

Full Time

Project

NDA

Locations:

Remote

Europe

Job Details

Posted on:

July 4, 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

Windward is developing a Maritime Intelligence Agentic platform used by defense agencies, governments, and global enterprises to secure trade and enforce compliance at sea.
The platform involves designing and shipping intelligent, cloud-native systems that integrate high-scale full-stack engineering with cutting-edge Applied AI.
The role involves influencing core architecture and raising the bar for AI-assisted development within the team.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

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 using 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 using Python within a distributed system architecture.
Lead the integration of Generative AI capabilities into production systems.
Implement operational practices and observability to ensure AI reliability in production.
Drive overall engineering quality and speed by implementing AI-SDLC practices.
Mentor fellow engineers and contribute to the technical roadmap.