Agentic AI Engineer

Company Description:

Are you passionate about building intelligent systems that can think, act, and adapt? We are looking for a Senior Agentic AI Engineer to join our team remotely from Albania, Europe, or Ukraine. 

At Sigma Software, we work on innovative AI-driven solutions that push the boundaries of technology. In this role, you will design, build, and optimize cutting-edge agentic AI systems, from autonomous agents to complex orchestration layers, for both greenfield products and established platforms. 

Why join us? You will have the opportunity to work with advanced AI tools, collaborate with top-tier engineers, and contribute to projects that redefine how AI interacts with the world — all while enjoying flexibility, professional growth, and a supportive global team. 

Job Description:

DESIGN & DEVELOPMENT

• 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

RESEARCH & EXPERIMENTATION

• 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

CONSULTING & COLLABORATION

• 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) 

• 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 

  WILL BE A PLUS

  Experience with vector databases, RAG, and embeddings 

  Background in backend engineering, MLOps, or system design 

  Understanding of LLM fine-tuning or model customization 

  Experience integrating AI into production-grade applications 

PERSONAL PROFILE

Self-driven engineer with strong programming skills 

Consulting mindset with ability to advise clients 

Passion for experimenting with cutting-edge AI frameworks 

Strong communication skills for cross-functional collaboration 

Ability to deliver robust, scalable AI solutions