Hi 👋 We’re Striveonlab – a team solving real problems through data, AI, and automation. We focus on end-to-end AI solutions, from structuring messy data and designing retrieval systems to developing AI agents that automate real tasks and integrate into live products.

Our clients range from e-commerce brands to startups and growing companies looking to scale with confidence.

Sound like a match?
Send us your CV, portfolio/GitHub, or just a quick note telling us why we should talk.

Looking forward to hearing from you,
The Striveonlab team

• Design and implement LLM-based applications and AI agents – from early discovery to production-ready systems, either independently or in a focused team.
• Build and orchestrate AI agents and multi-agent workflows (LangChain, LangGraph, or similar) that automate real tasks and integrate into live products.
• Develop and deploy retrieval-augmented systems (RAG, Graph-RAG) and pipelines for unstructured data (text, forms, logs, user inputs).
• Prototype and validate ideas quickly, then evolve them into stable, scalable solutions.
• Work directly with clients to understand their needs, shape ideas, and translate them into technical solutions.
• Contribute to standards for testing, evaluation, and guardrails to ensure LLM apps are reliable in production.

• Contribute to early-stage discovery – evaluate technical feasibility, design system architecture (agents, retrieval, data pipelines), prototype quickly, and help shape realistic time estimates.

• Stay on top of the latest developments in LLMs, agent frameworks, evaluation methods, and prompting strategies, and apply them thoughtfully.
• Collaborate with a cross-functional team (designers, devs, product owners) to ensure the AI solution actually fits into the broader product or workflow.
• Think beyond code: understand the business context, identify risks, and help us deliver solutions that actually work in production.

Must-have

• Strong Python skills  & 3+ years of software engineering experience, ideally with at least 1–2 years focused on AI/LLM development
• Hands-on experience building LLM-based applications from prototyping to production
• Practical experience with agent frameworks (LangChain, LangGraph, or similar)
• Familiarity with retrieval systems (vector databases, RAG pipelines, embeddings, chunking, re-ranking)
• Experience deploying AI services to cloud platforms
• Strong problem-solving skills and the ability to give and receive thoughtful feedback
• Confidence working directly with clients and making technical decisions
• Clear communication skills – able to explain complex ideas to both technical and non-technical stakeholders
• Comfort working in ambiguity and iterating fast toward working solutions
• A sense for product thinking: you care not just about writing code, but about building something useful

Nice-to-have

• Experience with multi-agent orchestration
• Knowledge of evaluation frameworks, guardrails, and prompt optimization
• Broader ML/DS background (NLP, recommendation, classical ML) that helps in applied projects
• Interest in experimenting with new frameworks, runtimes, or infra approaches

• Flexible work setup – contract-based (project, part-time, or more), hybrid (3 days in our Praga Studios office in Prague / 2 days remote), or fully remote if needed. It’s not about where you sit, it’s about what you deliver.
• Purpose-driven projects – connecting data, AI, and business to solve real-world challenges
• Room to grow – whether you want to go deeper into AI, lead projects, or explore new directions
• Influence over company direction – if you see something worth improving, you can make it happen
• Transparent leadership and direct communication – a culture of trust, clarity, and focus, no micromanagement here.
• Support for your curiosity – learning budget, space to explore new tools and approaches, and teammates who love sharing knowledge

Sound like a match?
Send us your CV, portfolio/GitHub, or just a quick note telling us why we should talk.

Looking forward to hearing from you,
The Striveonlab team