AI Engineer

🕒 April 8

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Architect, build, and optimize agentic AI systems, including autonomous agents, multi-agent frameworks, and LLM-powered components • Design and implement Model Context Protocol (MCP) integrations and agent orchestration layers • Build and maintain AI SDLC pipelines, tooling, and automation logic across the development lifecycle • Implement agentic AI patterns, multi-agent workflows, and intelligent task automation • Work with tools such as Claude Code, Cursor, Microsoft Copilot, and other AI engineering environments • Evaluate emerging agentic AI models, frameworks, and toolkits • Build POCs and prototypes to benchmark scalability, reliability, and architecture fit • Propose optimal designs based on hands-on research and clear analysis of trade-offs • Work with product teams, architects, and clients to define requirements and shape agentic AI solutions • Communicate complex technical concepts clearly to non-technical stakeholders • Guide clients on AI tool adoption (both greenfield and brownfield)

🎯 Requirements

• 3–5+ years as a Software Engineer, including 1 year of extensive AI Agentic Systems experience • Strong practical development experience — JavaScript/TypeScript preferred; Python, Java, Go also acceptable • Hands-on experience implementing agentic AI architectures, AI orchestration frameworks, autonomous agents & multi-agent systems, MCP integrations • Solid understanding of AI model lifecycle, prompting, evaluation loops, and continuous improvement • Ability to work independently and own end-to-end technical delivery • Consulting experience or strong client-facing communication skills • Curiosity and experimentation mindset • Experience running POCs, technical evaluations, or benchmarking approaches

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities