Senior Python Engineer with Agentic AI experience

🚀 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

📍 About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily. 

About the Role:

You will join an autonomous team formed to pioneer agentic, AI-first workflows within a production-grade maritime intelligence platform.
You will own the design, delivery and operation of backend services that power generative AI agents at scale, influence core architectural decisions, and drive AI-SDLC standards across the organization.

📍 Key Responsibilities:

• Architect and build scalable microservices in Python to support agentic workflows and data pipelines within a distributed system, contributing to frontend development when needed (React).
• Lead integration of generative AI capabilities – LLM APIs, RAG pipelines and autonomous agents – into production environments.
• Implement operational practices and observability for AI components, including monitors for model drift, hallucination detection and performance metrics.
• Establish and enforce AI-SDLC practices: code reviews, automated testing, CI/CD pipelines and continuous trace-based quality evaluations.
• Design and maintain infrastructure as code using Terraform, Kubernetes (K8s) and related AWS services.
• Drive improvements in engineering speed and quality through tooling, automation and architectural enhancements.
• Mentor engineers on emerging AI frameworks, developer tools and best practices for high-scale agentic development.
• Collaborate with product and research teams to translate user requirements into reliable, secure backend services.

📍 Required Competence and Skills:

• 7+ years of professional backend engineering experience, including at least 2 years building agentic or autonomous AI workflows in production.
• Deep experience with Python.
• Hands-on experience in agentic frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, Hermes (or equivalent).
• Proven track record designing scalable, event-driven architectures on AWS, including messaging (SQS/SNS) and SQL/NoSQL databases.
• Strong understanding of GraphQL or REST API design and DevOps practices, including CI/CD, Kubernetes, and Terraform.
• Skilled in implementing production-grade security, monitoring and incident response for mission-critical systems.

Nice to Have:

• Experience with React.js and full-stack development.
• Familiarity with vector databases and similarity search for AI applications.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.