Job VC
Senior Python Engineer with Applied 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.