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Senior AI Engineer

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Project description

We are looking for two Senior AI Engineers to join the project, where the team is building an AI platform with agentic capabilities and knowledge-graph-based solutions.
The team currently consists of three engineers and two Project Managers. The engineers will join as hands-on contributors and work closely with the existing team to design, build, and evolve the platform.

Requirements

  • Strong professional experience in AI/ML engineering or software engineering with a significant focus on AI.
  • Proven hands-on experience building agentic systems, AI agents, or multi-step AI workflows.
  • Strong understanding of how agentic systems work beyond simply using existing AI tools or APIs.
  • Deep hands-on experience with AWS, including designing and implementing cloud-based solutions.
  • Experience with AWS Bedrock, preferably with Claude models.
  • Experience working with OpenAI models and APIs.
  • Strong programming skills in Python or another relevant language.
  • Experience designing and integrating APIs and production-grade services.
  • Practical experience with knowledge graphs, graph databases, or graph-based reasoning.
  • Strong problem-solving and communication skills.
  • Ability to work independently in a hands-on engineering role.

Nice to Have

  • Experience with AWS Neptune.
  • Experience with Neo4j.
  • Experience designing knowledge graph architectures.
  • Experience with graph query languages such as Gremlin or Cypher.
  • Experience with AI agent frameworks or orchestration tools.
  • Experience with RAG, tool use, function calling, planning, memory, and agent evaluation.
  • Experience deploying and operating AI systems in production.

Responsibilities

  • Design and implement agentic AI systems and workflows.
  • Develop production-ready AI platform components using large language models.
  • Work with knowledge graphs and graph-based data structures.
  • Build integrations with AWS AI and cloud services.
  • Contribute to the architecture and implementation of scalable AI solutions.
  • Develop, test, debug, and optimize hands-on solutions.
  • Collaborate with engineers and Project Managers to deliver project objectives.
  • Investigate new approaches and technologies relevant to agentic AI and knowledge graphs.

Team: Three engineers and two Project Managers

Skills

See also

AI Engineering jobs by country — openings, pay and top skills →

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