Middle AI Agent Engineer

🕒 May 20

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Langate Software

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

Healthcare Insurance • SaaS • Enterprise

Langate Software is a leading provider of software development services, focusing on helping businesses of all sizes achieve digital transformation. With over 20 years of experience, Langate specializes in creating innovative and secure solutions for enterprises, particularly in the healthcare industry. Their offerings include custom software development, legacy system migration, cloud migration, and data analytics. Langate is renowned for building strong dedicated teams and delivering quality IT solutions that enhance security, scalability, and automation. The company also provides services in AI and AR/VR integrations, making it a versatile partner for enterprise-level software needs.

📋 Description

• Design and implement agentic features end-to-end, from prototype to production. • Build and maintain agent loops, tool layers, context management, persistence, sub-agent orchestration, observability, and safety hooks. • Define quality standards for agent performance by creating golden datasets, writing evaluations, and setting up regression checks. • Instrument agents with proper tracing and telemetry, and investigate production behavior using real execution traces. • Work directly with client stakeholders to elicit and refine requirements, translate them into technical scope, and align on expected outcomes. • Make pragmatic build-versus-import decisions when selecting frameworks, tools, and external components. • Participate in architecture discussions and code reviews, contributing to scalable and production-ready engineering decisions. • Move between projects and priorities as needed, taking ownership of delivery in a fast-changing environment with a high degree of autonomy.

🎯 Requirements

• 2–3+ years of commercial engineering experience • Ability to build a tool-using agent loop from scratch, including tool calling, structured outputs, stop reasons, parallel tool use, and error recovery • Strong understanding of context engineering, including what to write, select, compress, and isolate • Hands-on experience with modern agent frameworks or SDKs such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, or Pydantic AI • Working knowledge of Model Context Protocol (MCP) • Experience building or extending evaluation harnesses, solid Python and/or TypeScript skills, and Upper-Intermediate English

🏖️ Benefits

• Competitive compensation • B2B contract • paid sick leave • 20 days of paid vacation • Free English lessons • Flexible work schedule • Official Ukrainian holidays are non-working days • Paid courses and certifications • Coach / psychologist consultation • Workshops • Career development plan • Mentoring