Who We're Looking For
We’re looking for a Senior Python Engineer with 7+ years of experience and strong hands-on expertise in LLM-based and agentic systems. English level: B2 or higher is required for direct collaboration with founders and senior engineers.
This role suits engineers who are comfortable with ambiguity, ownership, and building production-grade AI systems rather than experimental prototypes.
About the Company
CleverLabs is a software development company specializing in building WEB and API applications since 2015. We work on long-term projects, developing products from scratch as part of distributed product teams. Our clients are based in the USA, the UK, EU, and MENA regions.
About the Project
Client/Product: A fast-growing logistics tech company
Focus areas:
LLM-powered automation for analysis, code generation, QA, and integrations
Continuous improvement of AI workflows and reliability
Engineering model:
Work is organized in 6-week goal-based cycles
Engineers own outcomes and define their own task breakdowns
Start date: From January 5, 2026 (or ASAP)
Engagement model: Team augmentation, fully embedded into the client’s internal team
Tech Stack
Core language: Python
LLM and agentic frameworks: LangChain, CrewAI, or similar solutions
Cloud: Azure preferred, AWS or GCP acceptable
Database: Azure Cosmos DB (NoSQL)
AI dev tools: Claude, Cursor IDE (experience is a plus)
Cloud: Azure preferred, AWS or GCP acceptable
Database: Azure Cosmos DB (NoSQL)
AI dev tools: Claude, Cursor IDE (experience is a plus)
Responsibilities
Design, implement, and continuously improve LLM-powered and agentic workflows.
Build reliable AI systems with attention to quality, safety, and failure handling.
Reduce manual work by improving AI automation quality and consistency.
Take ownership of AI-related goals within each 6-week cycle.
Collaborate closely with founding engineers on system design and architecture.
Contribute to backend and platform development when required.
Required Skills & Experience
7+ years of professional software engineering experience.
English level B2 or higher, spoken and written.
Strong Python expertise with production-grade systems.
Proven experience building real-world LLM applications.
Understanding of agentic patterns, orchestration, tools, and evaluation.
Experience with LangChain, CrewAI, or equivalent architectures.
Strong analytical thinking and system-level problem-solving skills.
Nice to Have
Experience in logistics, shipping, or integration-heavy domains.
Background in automation-heavy or AI-first products.
Experience scaling or hardening AI systems in production.
Benefits