AI Engineering Lead

Fadata

Sofia or Burgas, Bulgaria

Opportunity

We are looking for a highly motivated and experienced AI Engineering Lead to join our growing AI Engineering team. You will play a key role in designing, building, and delivering production-ready AI solutions focused on LLM applications, agentic workflows, AI orchestration, RAG systems, and AI automation.

This is primarily a hands-on engineering role with technical leadership responsibilities. You will help lead one AI Engineering team through technical execution, mentoring, and engineering best practices, while remaining deeply involved in implementation and solution delivery.

You will work closely with Product Managers, Architects and engineering teams to build scalable and reliable AI capabilities that deliver measurable business value in real enterprise environments.

Your responsibilities

Design, build, and maintain production-ready AI solutions using modern LLM and agentic AI technologies
Develop AI workflows, orchestration layers, RAG pipelines, and AI automation capabilities
Build scalable and maintainable AI services, APIs, and integrations using Python and modern backend engineering practices
Prototype, iterate, and productionize AI capabilities in a fast-moving and experimental environment
Implement prompt engineering, context management, tool usage, and structured AI output strategies
Develop evaluation, validation, testing, monitoring, and feedback mechanisms to ensure AI reliability and quality in production
Contribute to AI governance, observability, security, and operational best practices
Collaborate closely with Architects to align AI solutions with the broader platform architecture and engineering standards
Work closely with Product Managers and stakeholders to translate business needs into practical AI solutions
Provide technical leadership, mentoring, and guidance to our AI Engineering team
Support technical execution alignment, implementation quality, and engineering best practices within the team
Participate in technical interviews, hiring, and the growth of the AI Engineering capability within the organization
Stay current with emerging AI technologies, tooling, and engineering practices relevant to enterprise AI development

What you bring to the table

Strong software engineering experience with Python and modern backend development practices
Hands-on experience building production-ready AI/LLM applications and workflows
Experience with frameworks such as LangChain, LangGraph, or similar AI orchestration technologies
Experience designing and implementing RAG architectures and vector database integrations
Practical understanding of AI agents, orchestration patterns, tool calling, and context management
Experience working with cloud AI platforms, preferably AWS Bedrock
Strong understanding of AI system reliability, validation, evaluation, monitoring, and governance concepts
Experience building scalable APIs and integrating AI capabilities into enterprise systems
Strong problem-solving skills and ability to work effectively in ambiguous and evolving environments
Excellent communication and collaboration skills with both technical and non-technical stakeholders
Ability to explain complex AI concepts and trade-offs in a clear, practical, and business-oriented way

Preferred Qualifications

Experience with AI observability, tracing, and monitoring tools
Experience integrating AI solutions with enterprise platforms and workflows
Understanding of AI security, data privacy, and governance considerations
Experience mentoring engineers or technically leading engineering initiatives
Familiarity with prompt evaluation frameworks, benchmarking, and AI quality validation approaches
Experience working in Agile product development environments