Kinguin

Lead Engineer, SDLC Acceleration & Agentic Tooling

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SeniorZdalnie·WarszawaFull-time

#466478·Dodano 10 dni temu·2

Źródło: Kinguin

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Tech Stack / Keywords

AI agentsGo Python TypeScript KubernetesMCPCI/CD Git SDLCcontainers

Podsumowanie oferty

Develop AI agent tooling and optimize agentic workflows for software development. Evaluate AI models and coding agents and build automated processes that improve engineering workflows and software delivery.

Wymagania

10+ years of software engineering experience, including experience with large, complex codebases.
At least 1 year of daily hands-on experience using AI coding agents from multiple vendors.
Proven experience building AI agent tooling, such as agent harnesses, evaluation suites, MCP servers, or internal developer tools adopted by other engineers.
Strong understanding of agentic workflows, including context management, tool integration, verification, retries, and human oversight.
Solid programming skills in Go, Python, and TypeScript, with experience in Git, CI/CD, containers, and Kubernetes in a major cloud environment.
Strong knowledge of SDLC, testing, release management, and software security, including risks associated with AI-generated code.
Excellent communication, mentoring, and change management skills, with the ability to independently drive improvements and support engineering teams.
Fluent English and availability to work Warsaw business hours (CET/CEST).

Obowiązki

Build and maintain AI agent tooling, including harnesses, integrations, sandboxes, and evaluation frameworks for software development.
Design and optimize agentic workflows for planning, coding, testing, reviewing, and documentation, including human approval and cost controls.
Evaluate AI models and coding agents to identify effective solutions for different engineering tasks.
Implement security and quality controls for reliable, auditable, and secure AI-generated code.
Develop automated evaluation processes to measure agent performance and improve software delivery.
Drive AI adoption across engineering teams through training, mentoring, demonstrations, and hands-on support.
Improve development workflows by experimenting with new AI technologies and measuring their impact.

Benefity

Monthly bonus opportunities tied to marketplace results.
Seniority bonuses.
Private medical healthcare through Enel-med.
Possibility to take part in group life insurance through PZU.
Online benefit platform with 120 points (120 PLN) on MyBenefit.
Access to the Nilo mental health platform.
Multisport sports card.
Two 50% discount codes for the marketplace.

Elastyczne godziny

Premie

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Inne informacje

Availability to work Warsaw business hours (CET/CEST).
Recruitment process: people interview (45–60 minutes), interview with the Hiring Manager (30–60 minutes), then feedback and a decision.

Kinguin

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