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 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
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.
Summary
Build and deploy LLM-powered applications, RAG pipelines, and AI automation for clients, from prototyping to production. Requires strong Python skills, hands-on LLM and Generative AI experience, prompt engineering in production, RAG with vector databases, cloud deployment (AWS, Azure, or GCP), and English proficiency.
Responsibilities
Designing, building, and deploying AI and Generative AI solutions; Developing and optimizing prompt engineering strategies; 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
Strong experience with Python for AI application development; Hands-on experience with LLMs and Generative AI; 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; Experience building and deploying AI-powered applications in cloud environments; Understanding of AI safety, guardrails, and responsible AI practices; Ability to speak and write in English
Experience requirements
Strong experience with Python for AI application development; Hands-on experience with LLMs and Generative AI; 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; Experience building and deploying AI-powered applications in cloud environments; Understanding of AI safety, guardrails, and responsible AI practices
Benefits
Flexible and remote cooperation options; International projects; Travels related to international projects; Access to language classes; Access to knowledge-sharing initiatives; Access to private healthcare and life insurance; Access to multisport card