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.
Summary
Build and optimize LLM-based applications, multi-agent systems, prompt engineering, RAG and vector databases for client projects. Requires strong Python, agent frameworks, LangChain/LangGraph/LlamaIndex, LLM/GenAI experience, and English communication.
Responsibilities
Building multi-agent systems; prompt engineering strategies; integrating LLMs into cloud apps/APIs; agent-based workflows and automation; researching AI tools/models/frameworks
Qualifications
Strong Python experience for AI apps; agent frameworks and multi-agent systems; LangChain/LangGraph/LlamaIndex; knowledge bases, RAG, vector databases; LLMs/GenAI; AI safety, guardrails, responsible AI; English speaking/writing
Benefits
Flexible/remote cooperation; international projects; travel; language classes; knowledge sharing; private healthcare and life insurance; multisport card