Principal AI Engineer

• Consult clients during presales to assess AI readiness constraints and success criteria translating visions into actionable requirements
• Prepare and present presales deliverables including architecture diagrams assumptions risks estimates scalability considerations and implementation roadmaps
• Define AI use cases and agentic scenarios based on client needs
• Select and justify LLMs per use case based on requirements cost latency safety capability
• Architect multi-agent frameworks with orchestrator agents and MCP-style protocols
• Design and implement single-agent/multi-agent AI systems with defined roles tool access memory safety boundaries
• Build orchestration logic (routing delegation retries fallback strategies consensus human-in-the-loop flows)
• Develop RAG pipelines (data ingestion chunking embeddings vector databases hybrid retrieval relevance optimization)
• Implement learning & feedback loops for continuous agent improvement
• Design custom or adapted models (prompt-tuned agents LoRA fine-tuning domain-inherited models)

Qualifications :

• Designing and building AI-powered systems in production 
• Agentic frameworks multi-agent collaboration orchestrator/worker models 
• RAG pipelines relevance tuning 
• Python and/or TypeScript API design microservices cloud-native architectures 
• Presales consulting translating business problems into AI solutions 

Additional requirements:

• Practical knowledge of multiple LLM providers (OpenAI Anthropic open-source)
• Ability to build/adapt models (prompt-tuned agents LoRA fine-tuning inheritance from foundation models)
• Knowledge of AWS Bedrock Azure OpenAI GCP Vertex AI
• Understanding governance security data residency pricing models enterprise integration for cloud AI platforms
• Production-grade mindset: observability logging security PII handling cost-efficiency
• Strong communication skills for explaining AI concepts to non-technical stakeholders
• English level: Upper-Intermediate
• Experience: 5 years in AI engineering or related roles

WILL BE A PLUS

• Experience in AdTech domain
• Experience integrating AI into legacy or enterprise systems
• Familiarity with workflow automation tools
• Knowledge of DevOps practices CI/CD containerization

Remote Work :

Yes

Employment Type :

Full-time