AI-augmented Software Developer

Sigma Software; Województwo małopolskie; On-site; PLN 180,000 - 240,000; Full time

Job summary

Sigma Software is seeking an AI-augmented Engineer with hands-on experience in AI SDLC, autonomous agents, multi-agent systems, and AI orchestration frameworks to design, build, and optimize agentic AI platforms.

You will design MCP integrations and orchestration layers, develop AI pipelines, and evaluate models while advising clients on trade-offs and adoption of cutting-edge AI practices in real projects.

Qualifications

• 3-5+ years as a Software Engineer, including AI SDLC experience
• Strong programming skills in JavaScript/TypeScript; other languages welcome
• Hands-on experience with AI orchestration frameworks, autonomous agents & multi-agent systems
• Solid understanding of AI model lifecycle, prompting, evaluation loops
• Ability to work independently and deliver end-to-end technical projects
• Consulting experience or strong client-facing communication skills

Responsibilities

• Design and implement MCP integrations and agent orchestration layers
• Build and maintain AI SDLC pipelines, tooling, and automation across the lifecycle
• Implement agentic AI patterns, multi-agent workflows, and intelligent task automation
• Evaluate emerging agentic AI models, run POCs, and benchmark scalability and reliability
• Work with product teams, architects, and clients to define requirements and shape AI SDLC solutions
• Communicate complex technical concepts clearly to non-technical stakeholders
• Guide clients on AI tool adoption for greenfield and brownfield

Skills

AI SDLC

JavaScript/TypeScript

Consulting mindset

Client-facing communication

Independent work

AI orchestration

MCP integrations

Agentic AI

Tools

Claude Code

Cursor

Microsoft Copilot

Job description

We are looking for a highly skilledAI-augmented Engineerwith strong engineering experience and deep hands‑on exposure to AI SDLC, autonomous agents, multi-agent systems, and AI orchestration frameworks.
This role focuses on designing, building, and optimizing agentic AI systems - from autonomous agents and MCP integrations to complex orchestration layers for both new products and existing long-running platforms.

The ideal candidate combines strong programming skills (JavaScript/TypeScript preferred, but other languages are welcome) with an ability to work independently, evaluate different approaches, and structure efficient AI development workflows. A consulting mindset is essential - you should be able to advise clients, explain trade-offs, and guide them through adopting modern agentic AI practices.

DESIGN & DEVELOPMENT

• 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 AI SDLC 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 SDLCexperience
• Strong practical development experience - JavaScript/TypeScript preferred, but Python, Java, Go, etc. are also acceptable
• Hands‑on experience implementing:
  • AI orchestration frameworks
  • Autonomous agents & multi-agent systems
  • MCP integrations
• Solid understanding of the 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, experimentation mindset, and willingness to build greenfield AI solutions
• Experience running POCs, technical evaluations, or benchmarking approaches

NICE TO HAVE

• 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 withcutting‑edgeAI frameworks

• Strong communicationskills for cross‑functional collaboration

• Ability to deliver robust, scalable AI solutions