Principal Python Engineer for Agentic AI

Quick Facts

• Focus: Agentic AI engineering with production-grade Python backends for LLM-backed agent applications.
• Role: Technical lead improving architecture, standards, and production reliability.

Description

Lead development and continuous improvement of Python backends for LLM-backed agent applications (e.g., chatbots) and help evolve an Agentic AI platform. Provide technical direction for a team of Agentic AI engineers—define engineering standards, review architecture, and ensure scalable, reliable, production-ready delivery. Improve customer experience by stabilizing and enhancing existing solutions, including visualization, automated validations, function calling, agent actions, observability, and quality assurance.

Responsibilities

• Lead development and improvement of Python backends for LLM-backed agent applications and the Agentic AI platform.
• Provide technical direction for Agentic AI engineers; define engineering standards; review architectural decisions.
• Stabilize and enhance solutions: visualization, automated validations, function calling, agent actions, observability, and quality assurance.
• Translate new business requirements into sustainable technical solutions.
• Collaborate with business stakeholders through workshops and calls; explain technical topics clearly.
• Drive technical brainstorming, architecture discussions, code reviews, and pair programming.
• Identify automation, Agentic AI, and data science use cases; mentor engineers and promote best practices.

Requirements

• At least 8 years of experience building and operating production-grade software in Python (preferably FastAPI, Pydantic, Temporal, or similar).
• Proven experience leading engineers, technical workstreams, or software development teams.
• Strong understanding of software architecture, distributed systems, API design, asynchronous processing, scalability, resilience, and production operations.
• Preferably strong knowledge of LLM and Agentic AI frameworks (LangChain, LangGraph, LlamaIndex) and Azure OpenAI / OpenAI APIs with production experience.
• Practical experience with PostgreSQL, Redis, and document/search databases such as Elasticsearch and MongoDB.
• Proven production experience designing and operating RESTful APIs and web service applications.
• Cloud and DevOps experience: Docker, CI/CD (GitHub Actions or GitLab CI), and deployment to Azure, AWS, or GCP.
• Understanding of production requirements for Agentic AI systems: testing, evaluation, observability, security, cost management, and reliability.
• Ability to make technical decisions, explain trade-offs, and align engineers and stakeholders.
• Comfort in agile environments (XP, Scrum, Lean) and adapting to changing priorities.
• Ability to communicate complex architectures clearly to customers and business stakeholders.
• Mentoring experience and commitment to software engineering best practices.
• Fluent written and spoken English.

Benefits

• Annual financial bonus
• Extra week of holiday (25 days/year), up to 5 “My days”, plus a volunteering day
• Additional paid time off for married couples/registered partnerships, parents on the first day of school, extended paternity leave, and time-offs related to state office matters for foreigners
• Flexible working hours and possibility to work remotely
• Pension plan contribution
• Company benefits including refreshments, meal vouchers (160 CZK/day), and discounts (e.g., Alza)
• Company shares; company mobile phone and laptop
• Training, qualification, and personal development opportunities (learning HUB, career path, job rotation, “Bring your own Project”)
• Relocation package for candidates coming from abroad
• Family program, wellness/relaxation options, and team events