We are looking for an experienced Software Team Leader to build and lead a new team focused on AI and agent technologies for enterprise data platforms.
This is a hands-on leadership role. The Team Leader will define the technical direction, build the first solutions, recruit engineers, and turn new AI ideas into production systems.
The main focus is AI agents, RAG, natural-language interaction, model integration, and intelligent workflows. Database technologies are an important foundation, but not the center of the role.
Responsibilities:
Lead a new software engineering team.
Define the AI architecture, roadmap, and technical priorities.
Build AI agents that reason, use tools, and execute multi-step workflows.
Develop agent orchestration, state management, and workflow execution.
Build agent workflows for data analysis, automation, and decision support.
Integrate LLMs, embedding models, and model-serving platforms.
Develop tool and API integration for AI agents, including MCP where relevant.
Optimize AI systems for latency, throughput, cost, and scale.
Move successful prototypes into production-grade software.
Work closely with data, database, infrastructure, cloud, and product teams.
Key Technical Areas:
AI agents and agentic workflows
LLMs and Small Language Models
RAG and semantic retrieval
Embeddings, vector search, and reranking
Tool calling and workflow orchestration
MCP and enterprise tool integration
Enterprise data agents, enterprise data platforms and database integration.
Requirements: 10+ years of software engineering or related technical experience.
Proven experience leading a strong software engineering team.
Strong hands-on software architecture and development skills.
Experience building a new technology area or product from an early stage.
Strong practical knowledge of LLMs, RAG, embeddings, and AI agents.
Experience integrating AI models with applications, APIs, tools, or data systems.
Strong programming skills in Python, C/C++, Java, or similar languages.
Good understanding of distributed systems and modern software architecture.
Experience with production performance, reliability, and scalability.
Ability to evaluate new AI technologies and turn them into a clear engineering plan.
Advantages:
LangGraph or similar agent frameworks
Vector databases and semantic-search systems
PyTorch, Hugging Face, or similar AI frameworks
GPU and AI accelerator technologies
Database systems and SQL engines
Research, patents, or strong open-source contributions in AI systems.
This position is open to all candidates.