Senior AI Engineer

We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered features with end-to-end ownership, delivering scalable and impactful AI solutions.

Experience

• 10+ Years

Location

• Remote

Responsibilities End-to-End AI Feature Ownership

• Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-step reasoning).
• Own the full lifecycle: prototyping evaluation production deployment iteration.
• Ensure solutions are reliable, performant, and aligned with product needs.

AI System Implementation

• Build and optimize prompt pipelines for specific use cases.
• Build retrieval systems (embeddings, chunking, ranking).
• Implement RAG-based workflows where needed.
• Iterate on outputs to improve quality, accuracy, and consistency.
• Design scalable and cost-efficient AI architectures for production workloads.
• Select and evaluate models (hosted vs. open-source) based on use-case constraints.

Agent-Based Systems (AgentCore)

• Design and build agentic workflows capable of multi-step reasoning and decision-making.
• Integrate agents with tools, APIs, and internal systems to perform real-world actions.
• Implement planning, execution, and reflection loops for complex tasks.
• Manage context, memory, and state across multi-step interactions.
• Balance deterministic workflows vs. agent autonomy for reliability and control.

Experimentation & Evaluation

• Run structured experiments to compare approaches (prompting, retrieval, models).
• Define and track key metrics for AI performance (quality, latency, cost).
• Debug and improve non-deterministic system behavior.
• Build and maintain evaluation datasets and benchmarks.
• Implement automated evaluation pipelines for continuous improvement.