AI Engineering Tech Lead

New
S
Symphony SolutionsSoftware Engineering
Ukraine. Poland. North MacedoniaFull-TimeLead
Salary not disclosed
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Job Details

Languages
Upper-Intermediate English or higher
Experience
5+ years
Required Skills
AWSPythonSQLAzureNosqlCI/CDLangChain

Requirements

  • 5+ years of software engineering experience with a strong focus on AI/ML systems.
  • Expert-level Python skills, including async programming and design patterns.
  • Demonstrated experience building AI agents and multi-agent systems using LangChain and LangGraph.
  • Practical knowledge of LLM integration: prompt engineering, function calling, RAG, embeddings, and vector search.
  • Extensive experience with AWS or Azure deployment, scaling, and management of AI workloads.
  • Solid ML foundation: training, evaluation, inference pipelines, and ML development lifecycle.
  • Strong CI/CD pipeline expertise.
  • Hands-on experience with containerization and orchestration.
  • Practical experience with infrastructure-as-code tools.
  • Experience implementing AI observability.
  • Proficiency in using AI tools like Claude Code, Cursor, and advanced prompting.
  • Experience designing and building robust APIs (e.g., FastAPI, Flask).
  • Proficiency with SQL and NoSQL databases.
  • Ability to lead technical discussions, conduct code reviews, and mentor team members.
  • Upper-Intermediate English or higher.

Responsibilities

  • Lead the technical design and architecture of AI agent platforms and multi-agent workflows built on LangChain and LangGraph.
  • Perform hands-on development of AI agents.
  • Integrate LLMs from providers such as OpenAI, Anthropic, and Azure OpenAI into production-grade agent pipelines.
  • Build and optimize CI/CD, containerization, and infrastructure-as-code practices.
  • Establish and maintain AI observability, including tracing execution, monitoring performance, and tracking costs.
  • Mentor engineers through code reviews, architectural discussions, and knowledge sharing.
  • Collaborate with product managers and stakeholders to align technical implementation with business objectives.
  • Ensure system reliability, scalability, and maintainability through clean architecture and testing.
  • Contribute to engineering standards and technical solutions for pre-sale cycles.
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