AI engineer

We are looking for an experienced Senior AI Engineer to drive the development of enterprise AI capabilities across our SaaS platform. Working at the intersection of AI, data, and business domains, you will help transform enterprise knowledge into intelligent, scalable, and production-ready solutions while collaborating closely with engineers, product teams, and domain experts.

• Design and build sophisticated AI agents, orchestrated workflows, multi-agent systems, and LLM-driven reasoning chains.
• Deliver scalable Agentic AI capabilities across SaaS and on-premise applications.
• Balance solution accuracy, latency, security, reliability, and operating cost.
• Own the lifecycle, architecture, tooling, and quality standards of enterprise ontologies and knowledge graphs within approved enterprise architecture.
• Work with Product Owners and domain experts to model business concepts, relationships, rules, and terminology.
• Maintain semantic consistency, traceability, versioning, and fitness for AI reasoning and discovery.
• Design and operate RAG architectures combining vector search, knowledge graphs, and ontology-driven reasoning.
• Define retrieval logic, embedding strategies, context assembly, and grounding quality metrics.
• Partner with Data Engineering, which owns source ingestion, pipelines, lineage, freshness, and source-data quality.
• Develop custom tools and MCP servers that securely connect agents to enterprise applications, databases, APIs, and knowledge sources.
• Implement AI gateway capabilities for model routing, fallback, access control, rate limiting, cost monitoring, and multi-model access.
• Build reusable components and interfaces aligned with enterprise engineering standards.
• Implement end-to-end tracing, monitoring, evaluation, and quality controls for LLM and agent workflows.
• Define measurable evaluation methodologies for grounding, task success, safety, latency, and cost.
• Ensure production reliability, security, scalability, compliance, and effective incident diagnosis.
• Develop robust Python backend services, APIs, asynchronous workflows, and event-driven integrations for AI-powered features.
• Apply clean code, modular design, automated testing, documentation, CI/CD, and containerization practices.
• Conduct code and design reviews and continuously improve performance and maintainability.
• Translate business requirements into scalable specialist AI solutions.
• Mentor engineers in Agentic AI, knowledge engineering, evaluation, and production practices.
• Collaborate with the Technical Leader, who approves cross-team architecture standards and arbitrates enterprise-wide technical decisions.
• Stay current with relevant AI, LLM, agent, graph, and infrastructure technologies.

• At least seven years of experience in software engineering, AI engineering or a related field.
• At least two years of experience delivering AI/ML or generative AI applications in production.
• Proven experience designing, implementing and maintaining enterprise ontologies and knowledge graphs.
• Strong proficiency in Python and backend API development.
• Experience with FastAPI or similar frameworks.
• Experience with Agentic AI frameworks, RAG, vector search and SQL databases.
• Experience with automated testing and production observability.
• Strong technical ownership.
• Structured problem-solving and sound engineering judgement.
• Ability to mentor and share knowledge.
• Effective collaboration with product teams, engineers and domain experts.
• Clear technical and stakeholder communication.
• Fluent English or minimum B2 level.
• Будет плюсом: Graph databases such as Neo4j; Vector-search technologies such as Elasticsearch; MCP servers and A2A protocols; AI gateways such as LiteLLM; LangChain, LangGraph or similar frameworks; OpenTelemetry, LangSmith, Langfuse, Arize Phoenix or equivalent tools; Docker, Kubernetes or GKE; CI/CD and cloud-based SaaS or enterprise applications; Experience developing ontologies with business domain experts

• Space and encouragement to suggest ideas and solutions
• International and multicultural environment
• Interesting internal growth
• Soft skill training
• Internal Academy which is enriched day by day
• Unlimited LinkedIn Learning account
• A competitive market salary will be offered to the successful candidate.
• Domestic and occasional international travel may be required.