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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