AI Engineer Manager
Prefer a full account with a password? Sign Up to Apply
Job Description
As part of this role, you will be responsible for:
• Leading AI project delivery end to end, ensuring clear governance, strong stakeholder communication, and reliable execution.
• Designing and building robust RAG systems, agentic frameworks, and LLM-powered solutions suitable for production environments.
• Applying advanced prompt engineering techniques, including instruction design, few-shot prompting, structured outputs, and tool/agent prompts.
• Leading feasibility assessments to determine the right technical approach, including prompting, RAG, fine-tuning, classical ML, or hybrid solutions.
• Designing evaluation frameworks for AI systems, including LLM-as-a-judge, custom metrics, recall@k, precision@k, and go/no-go gates.
• Running structured experiments across prompts, retrievers, chunking strategies, embeddings, reranking approaches, and models.
• Identifying and categorizing model failures such as hallucinations, retrieval misses, instruction-following errors, and quality regressions.
• Building scalable inference infrastructure and CI/CD pipelines for AI and ML models.
• Automating the MLOps/LLMOps lifecycle, including tracking, versioning, deployment, monitoring, retraining, and continuous improvement.
• Designing APIs, microservices, and orchestration layers optimized for latency, cost, reliability, and scalability.
• Mentoring junior engineers and contributing to proposals, solution design, and new business initiatives.
Requirements
Function: Marketing
Experience Level: Mid-Senior Level