Back to SearchLead GenAI Engineer
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
We are looking for a Senior GenAI Engineer to join our team. As a GenAI Engineer, you will be responsible for the end-to-end development, deployment, and operation of enterprise-grade AI-powered applications. The role combines backend engineering, LLM integration, cloud infrastructure, and AI platform operations to deliver scalable GenAI solutions in production environments. You will work closely with AI/DS, Product, and DevOps teams to build and scale AI-driven applications, ensuring reliability, observability, performance optimization, and operational excellence across the full AI SDLC. The role also includes contributing to GenAI-assisted development practices, scaling Client's enterprise AI SDLC processes, supporting AI Beauty Chat initiatives through agentic micro-pod delivery models, and performing System Steward responsibilities across AI platform initiatives.
- Architect, build, deploy, and sustain backend services powering AI/LLM-driven applications
- Take full ownership of GenAI feature delivery, spanning from initial implementation through production support
- Integrate and manage LLM APIs, such as OpenAI, within enterprise production settings
- Build APIs, orchestration layers, and microservices that enable agentic AI workflows
- Fine-tune LLM systems for latency, resiliency, retries, fallbacks, and cost efficiency
- Establish CI/CD pipelines, observability, monitoring, and logging for AI services
- Partner with AI/DS, Product, DevOps, and platform teams to simplify delivery and strengthen reliability
- Operate within Azure cloud environments and distributed systems, including Redis, Kafka, and SQL/NoSQL databases
- Enable MCP integrations, agentic memory initiatives, and AI orchestration frameworks
- Champion GenAI-assisted development practices and help expand the client's AI SDLC processes
- Support AI Beauty Chat delivery through agentic micro-pod execution models
- Fulfill System Steward duties within agentic micro-pods
- At least 5 years of relevant experience
- A minimum of one year of experience leading and managing teams
- Primary expertise in AI Engineering with a backend orientation
- Solid Python backend engineering background
- Experience building and running production-grade GenAI/LLM applications end-to-end
- Hands-on experience with OpenAI or comparable LLM APIs in production environments
- Proficient in prompt engineering and orchestration patterns
- Experience managing LLM operational challenges, such as latency, retries, fallbacks, observability, and cost optimization
- Strong grasp of scalable backend and distributed system architecture
- Experience with CI/CD, DevOps workflows, and Azure cloud environments
- Experience applying GenAI throughout the SDLC, covering AI-assisted development, testing, deployment, and delivery workflows
- Working knowledge of SQL/NoSQL databases, Redis, and Kafka
- Strong communication skills
- Excellent English proficiency (B2 level or higher)
- Experience with agentic workflows
- Experience with Databricks and MCP