About the Role
Senior Software Engineer - Python/Agentic AI - EU Remote
Level
Senior
Department
Python
Type
Full Time
Project
NDA
Locations:
Remote
Job Details
Posted on:
September 16, 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 looking for a Software Engineer who operates at the intersection of high-scale full-stack engineering and cutting-edge Applied AI. In this role, you won't just write code, you will design and ship intelligent, cloud-native systems for our Maritime Intelligence Agentic platform. Our systems are used by defense agencies, governments, and global enterprises to secure trade and enforce compliance at sea. You will be expected to work autonomously, influence our core architecture, and significantly raise the bar for AI-assisted development within the team.
Required skills:
Must Have
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
Proficient in high-scale AI-based development
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
Nice to Have
Experience with frontend stack (NextJS, React.js, or similar)
Experience with Vector DBs
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 our 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 by establishing continuous, trace-based quality evaluation for all software and agentic components.
Evaluate emerging AI tooling, mentor fellow engineers, and contribute directly to our technical roadmap.