Principal AI Engineer
Core
Architecting scalable, production-grade agentic AI systems and supporting presales by translating business problems into actionable LLM-based solutions for global AdTech clients.
Role type
Senior/Principal AI Engineer (Agentic Systems & Presales)
Builds
Multi-agent orchestration frameworks, RAG pipelines, custom/adapted LLMs, and enterprise-ready AI solutions.
Domain
Advertising Technology (AdTech) + Generative AI
Deliverable
production ML models | product features
Required skills
Multi-agent orchestration, RAG pipeline design, LLM selection and justification, prompt engineering, LoRA fine-tuning, API design, microservices, cloud-native architecture, observability, security governance, cost-efficiency optimization.
Preferred skills
Experience with AdTech domain, integrating AI into legacy/enterprise systems, workflow automation tools, DevOps practices, CI/CD, containerization.
Technologies
Python, TypeScript, AWS Bedrock, Azure OpenAI, GCP Vertex AI, vector databases, MCP-style protocols.
Responsibilities
Consult clients during presales to assess AI readiness and define success criteria; present presales deliverables including architecture diagrams and implementation roadmaps; define AI use cases and agentic scenarios; select and justify LLMs based on requirements and constraints; architect multi-agent frameworks with orchestrator agents; design and implement single/multi-agent AI systems with defined roles and safety boundaries; develop RAG pipelines for data ingestion and retrieval; implement learning and feedback loops for continuous agent improvement; design custom or adapted models via prompt-tuning or fine-tuning.
Seniority
Senior/Principal, hands-on IC with strategy influence
