Senior AI Engineer

Now, as part of Solvd Inc. , we’re building on our strengths with even greater global reach and resources — while keeping the creative, human-scale culture that defines us here in Poland. If you want to work on meaningful AI projects, with space to grow and the freedom to innovate, you’ll feel right at home. We are seeking a dynamic and motivated AI Engineer with a strong focus on developing Production-Grade AI Agents. If you have a deep understanding of modern AI stacks and thrive on moving beyond simple demos to build reliable, evaluation-driven solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements.
Requirements:
Experience and skills you need to join us: Advanced expertise in Python, with a focus on writing clean, modular code and delivering production-ready applications. Solid software engineering knowledge and experience including system design, databases management and deep understanding of REST API principles. Readiness to lead client collaboration, fostering clear communication and effective partnership. Deep practical experience with modern LLM orchestration and state-management frameworks. Strong understanding of Retrieval-Augmented Generation (RAG) including advanced techniques like hybrid search, re-ranking, and graph-based retrieval; proficiency in vector databases. Experience implementing tracing and monitoring and evaluation for complex agent flows. Experience with API/SDKs of major model providers and Model Context Protocol (MCP). Experience configuring services on cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker/K8s). Proficient in automating CI/CD processes and understanding DevOps practices. Fluency in English (you will attend meetings with English speaking clients). It would be great if you also have: TypeScript experience. Knowledge of machine learning principles or model fine-tuning. Experience running and serving local LLMs (e.g., via Ollama, vLLM, or TGI). Familiarity with Voice Agents concepts and frameworks like Pipecat or LiveKit. Experience with graph databases (e.g., Neo4j) or GraphRAG approaches.
Must have: AI, Prototypes, Python, REST API, API, Cloud platform, AWS, Azure, GCP, Docker
Nice to have: K8s, DevOps, TypeScript, Machine learning, Neo4j
Daily tasks: - Collaborate with and lead cross-functional teams to design and build stateful, multi-agent workflows using modern orchestration patterns.
– Engage with clients to define requirements and oversee the full software development lifecycle, from proof of concept through evaluation and implementation to production.
– Implement rigorous evaluation pipelines (e.g., LLM-as-a-Judge) to quantitatively measure agent performance and reliability before deployment.
– Proactively drive productivity and adapt to evolving demands, taking initiative consistently.
– Translate stakeholders’ needs into requirements and drive the backend (and sometimes frontend) development to ship functional end-to-end prototypes.
– Stay informed about rapid advancements in the field, continuously learning and integrating new knowledge.
– Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.