Senior AI Engineer (Python)

🚀 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:

• Design, build, and deploy production-grade AI applications using LLMs, RAG, and agentic workflows.
• Build and optimize autonomous AI agents capable of planning, using tools, making decisions, and solving complex operational tasks.
• Integrate foundation models and LLM APIs into scalable systems, including retrieval pipelines, vector search, prompt orchestration, and AI memory.
• Develop AI evaluation and observability frameworks, including hallucination detection, trace analysis, model performance monitoring, experimentation, and continuous improvement.
• Build scalable Python backend services and integrate AI capabilities with distributed production systems.
• Collaborate with research and product teams to productionize new AI capabilities, taking them from experimentation to reliable real-world use.
• Own technical decisions and drive AI engineering best practices, including architecture, testing, tooling, deployment, and AI-SDLC standards.

📍 Required Competence and Skills:

• 7+ years of software engineering experience, including at least 1.5 years of hands-on experience building production AI applications, with proven experience delivering agentic AI systems used by real users.
• Strong software engineering background in Python or another backend language (Golang, Rust, TypeScript, Java, etc.), with the willingness to work primarily with Python. 
• Hands-on experience building agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or similar.
• Experience deploying and operating production AI services in cloud environments, with a proven track record designing scalable, event-driven architectures using messaging (SQS/SNS) and SQL/NoSQL databases. AWS experience is preferred.
• Experience integrating AI agents and AI-powered capabilities into production applications through GraphQL or REST APIs.
• Experience taking AI applications from development to production and collaborating with platform engineering teams on deployment and operation using Kubernetes and Terraform.
• Experience ensuring production AI systems are reliable, secure, observable, and ready for mission-critical use, including monitoring and incident response.
• Hands-on experience evaluating and improving production AI systems, including AI quality, model behavior, traces, and production performance.
• Excellent communication skills, autonomy, and accountability in ambiguous, high-velocity environments.

Nice to Have:

• Experience with React.js and full-stack development, with the ability to contribute to frontend development when needed.
• Experience with vector databases and similarity search in production 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.