AI-augmented Software Developer

Posted 2 Days Ago
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Hiring Remotely in Kraków, Małopolskie, POL
In-Office or Remote
Mid level
Software
The Role
Design, build, and optimize agentic AI systems, including MCP integrations, multi-agent orchestration, and AI SDLC pipelines. Evaluate models and toolkits, run POCs and benchmarks, and advise product teams and clients on AI adoption and architecture trade-offs.
Summary Generated by Built In
Company Description

We are looking for a highly skilled AI-augmented Engineer with 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.

Job Description

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) 

Qualifications

  • 3–5+ years as a Software Engineer, including 1 year of extensive AI SDLC experience
  • 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

Additional Information

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 

Skills Required

  • 3-5+ years as a Software Engineer, including 1 year of extensive AI SDLC experience
  • Strong practical development experience in JavaScript/TypeScript
  • Practical development experience in Python, Java, or Go
  • Hands-on experience implementing AI orchestration frameworks
  • Hands-on experience with autonomous agents and multi-agent systems
  • Hands-on experience implementing MCP (Model Context Protocol) 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
  • Experience running POCs, technical evaluations, or benchmarking approaches
  • 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
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The Company
New York, New York
1,516 Employees

What We Do

Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters

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