SM
Software Mind
AI Engineer

[CMI] AI engineer

On-siteMidAI Engineerposted 1w ago
Role summaryAI-generated

The AI Engineer will design and deploy production-grade generative AI and LLM-based applications for consulting clients. Responsibilities span rapid prototyping to scalable AI-powered products while bridging technical implementation with business objectives.

Skills required

About this role

Project – the aim you’ll have

We are looking for a talented 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, 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

  • Designing, building, and deploying AI and Generative AI solutions (e.g., LLM-powered applications, chatbots, intelligent systems)
  • Developing and optimizing prompt engineering strategies, including evaluation and iteration
  • Building RAG pipelines using vector databases
  • 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
  • Hands-on experience with LLMs and Generative AI (e.g., OpenAI, open-source models)
  • Practical experience with prompt engineering in production use cases
  • Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks
  • Experience designing and implementing RAG architectures and working with vector databases (e.g., Qdrant, Pinecone, Weaviate)
  • Experience building and deploying AI-powered applications in cloud environments (AWS, Azure, or GCP)
  • Understanding of AI safety, guardrails, and responsible AI practices
  • Ability to speak and write in English

Additional Information

Our offer – professional development, personal growth:

  • Flexible employment and remote work
  • International projects with leading global clients
  • International business trips
  • Non-corporate atmosphere
  • Language classes
  • Internal & external training
  • Private healthcare and insurance
  • Multisport card
  • Well-being initiatives

Position at: Software Mind Poland

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