About the Role
This position is for an Engineer specializing in Agentic AI, where you will join a growing team dedicated to designing, building, and deploying advanced agentic AI systems. These systems are capable of planning, reasoning, and executing actions effectively. You will work on both single-agent and multi-agent systems, and orchestrate workflows that incorporate retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is particularly suitable for a strong software engineer who has hands-on AI/ML development experience and is passionate about transforming generative AI models into reliable, goal-driven systems that address complex, real-world business challenges.
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Key Responsibilities:
- Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators.
- Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines to ground agent decisions in reliable, real-world data, enabling persistent, contextual, and adaptive behavior.
- Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls.
- Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability.
- Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to transition agentic AI solutions from prototype to production.
- Monitor, evaluate, and benchmark agent performance, ensuring AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience.
- Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to maintain clarity and reproducibility.
- Stay current with developments in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms.
- Collaborate with cross-functional teams to design and deliver comprehensive AI solutions for customers.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.
- 2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions.
- Preferably 5+ years of overall professional software engineering experience.
- Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols.
- Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems.
- Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices.
Job Location:
HQ
