[CMI] Senior AI Engineer

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Kraków, Małopolskie, POL
In-Office or Remote
Senior level
Software
The Role
Build multi-agent systems, optimize prompt engineering strategies, integrate LLMs and AI models into cloud applications and APIs, implement agentic workflows, and research emerging AI tools. The role requires developing RAG architectures, knowledge bases, vector database solutions, responsible AI safeguards, and production-grade Generative AI applications while collaborating with clients and technical teams.
Summary Generated by Built In
Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines cooperation with enjoyment.

Job Description

Project – the aim you’ll have

We are looking for a talented Senior AI Engineer to join our team and work on innovative projects for our clients. Our mission is to help organizations unlock the full potential of artificial intelligence and Generative AI, delivering real business value through modern AI-driven solutions.

You will work on diverse projects, ranging from rapid prototyping to production-grade deployments, with a strong focus on LLM-based applications, intelligent automation, machine learning, and AI-powered products. As a consulting-driven team, we collaborate closely with clients, combining technical expertise with business understanding to deliver impactful solutions.

If you are passionate about cutting-edge AI technologies and want to build real-world AI systems at scale, join us!

Position – how you’ll contribute

  • Building multi-agent systems
  • Developing and optimizing prompt engineering strategies, including evaluation and iteration
  • Integrating LLMs and AI models into cloud-based applications and APIs
  • Implementing agent-based workflows and AI automation solutions
  • Continuously researching, evaluating, and applying new AI tools, models, and frameworks

Qualifications

Expectations – the experience you need

  • Strong experience with Python for AI application development
  • Strong experience with agent frameworks and multi-agent systems
  • Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks used in agentic workflows
  • Experience designing and implementing knowledge bases, RAG architectures and working with vector databases (e.g., Qdrant, Pinecone, Weaviate)
  • Hands-on experience with LLMs and Generative AI (e.g., OpenAI, open-source models)
  • Understanding of AI safety, guardrails, and responsible AI practices
  • Ability to speak and write in English

Additional skills – the edge you have

  • Familiarity with evaluation of LLMs and agentic workflows
  • Experience integrating AI systems with APIs, backend services, and enterprise systems
  • Strong understanding of the role of traditional ML in building intelligent systems
  • Strong communication skills and ability to work with both technical teams and clients

Additional Information

What we offer:

  • Flexible and remote cooperation options 
  • International projects with leading global clients 
  • Travels related to international projects 
  • Non-corporate atmosphere 
  • Access* to language classes
  • Access* to knowledge-sharing initiatives 
  • Access* to private healthcare and life insurance 
  • Access* to multisport card 

*The availability and terms of individual benefits may vary depending on the chosen form of cooperation. 

Skills Required

  • Strong experience with Python for AI application development
  • Strong experience with agent frameworks and multi-agent systems
  • Experience with LangChain, LangGraph, LlamaIndex, or similar agentic workflow frameworks
  • Experience designing knowledge bases and RAG architectures
  • Experience working with vector databases such as Qdrant, Pinecone, or Weaviate
  • Hands-on experience with LLMs and Generative AI, including OpenAI or open-source models
  • Understanding of AI safety, guardrails, and responsible AI practices
  • Ability to speak and write in English
  • Familiarity with evaluating LLMs and agentic workflows
  • Experience integrating AI systems with APIs, backend services, and enterprise systems
  • Strong understanding of traditional machine learning in intelligent systems
  • Strong communication skills and ability to work with technical teams and clients

Software Mind Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.

  • Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
  • Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
  • Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.

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The Company
HQ: Kraków
1,000 Employees
Year Founded: 1999

What We Do

Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.

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