AI Engineer

Role overview

• check_circle Design and implement agent workflows focusing on context engineering, tool use, and orchestration.
• check_circle Build retrieval and memory systems, integrating vector search, session + long-term memory, and compaction algorithms.
• check_circle Develop evaluation pipelines, creating both automated and human-led evaluation suites to maintain high performance and safety.
• check_circle Integrate AI services on cloud platforms, utilizing AWS Bedrock, Knowledge Bases, and associated Agent frameworks.
• check_circle Collaborate closely with business stakeholders to understand functional needs and build aligned, production-grade tools.

Responsibilities

• check_circle Architecting and deploying reliable, secure, and scalable LLM-driven applications.
• check_circle Ensuring the structural integrity and speed of retrieval-augmented generation (RAG) pipelines.
• check_circle Setting up rigorous quality metrics and observability frameworks to monitor AI system behaviors.
• check_circle Translating complex user requirements into clean, modular, and maintainable Python codebases.
• check_circle Hands-on experience interfacing with Large Language Models (LLMs) via APIs, SDKs, and open-source packages.
• check_circle Proven experience building agent-based systems, specifically handling memory persistence, tool orchestration, and multi-step workflows.
• check_circle Strong knowledge of retrieval systems, embedding models, vector databases, and semantic search optimization.
• check_circle Familiarity with evaluation frameworks and quality measurement paradigms tailored for generative AI systems.
• check_circle Cloud expertise working with AWS Bedrock; experience with AWS AgentCore is highly preferred (a strong pre).
• check_circle Strong software engineering background, with expert proficiency in Python, object-oriented/functional programming patterns, and robust version control (Git).
• check_circle An analytical problem-solver who enjoys working at the frontier of technology and business strategy.
• check_circle Excellent communication skills with the ability to explain complex AI engineering concepts to non-technical stakeholders.
• check_circle A collaborative team player who thrives in a fast-paced environment and is passionate about building clean, production-grade software.
• check_circle Eager to stay ahead of the curve in a rapidly evolving generative AI landscape.

About the company