AI Engineer

AI Engineer

We are seeking a highly experienced Principal AI Engineer / Agentic AI Architect to drive the technical direction and development of production-grade Agentic AI systems. This role requires deep expertise in LLMs, Agentic AI workflows, distributed systems, backend engineering, and cloud infrastructure, along with recent hands-on experience in Node.js, JavaScript, and TypeScript. The ideal candidate will have a strong track record of designing and delivering complex autonomous AI systems used across multiple products and teams.

Key Responsibilities

• Drive the technical direction for Agentic AI initiatives, including architecture patterns, autonomy boundaries, and system design.
• Design, build, deploy, and operate production-grade Agentic AI systems across multiple products.
• Own and evolve shared Agentic AI capabilities, including:
• Agent frameworks and orchestration layers
• Planning, tool use, and memory strategies
• Retrieval-Augmented Generation (RAG) and grounding pipelines
• LLM infrastructure, inference, and model gateways
• Evaluation, observability, guardrails, and safety tooling
• Lead technical design and architecture reviews.
• Guide engineering teams through tradeoffs involving autonomy, safety, reliability, scalability, performance, and cost.
• Partner with cross-functional engineering teams to deliver complex AI initiatives from concept through production.
• Evaluate emerging LLMs, AI techniques, and agentic architecture patterns and translate them into enterprise-ready solutions.
• Mentor senior engineers and establish engineering best practices for Agentic AI development.

Required Qualifications

• 10+ years of experience building large-scale distributed systems.
• Strong hands-on experience with LLM systems, Agentic AI workflows, or advanced ML infrastructure.
• Recent hands-on development experience with Node.js, JavaScript, and TypeScript.
• Proven experience owning complex Agentic AI systems spanning multiple teams or products.
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
• Deep understanding of the Agentic AI stack, including:
• Planning and reasoning workflows
• Tool/function calling
• Agent memory and state management
• RAG and grounding
• Agent evaluation and observability
• Experience integrating commercial and open-source LLMs into production Agentic AI workflows.
• Experience with workflow engines, asynchronous processing, queues, streaming, and event-driven architectures.
• Strong ability to operate in ambiguous technical environments and translate requirements into reliable production systems.
• Ability to influence technical direction and align multiple engineering teams.

Technical Skills

• Languages: Node.js, JavaScript, TypeScript, Python, Go
• APIs & Services: REST, gRPC
• Cloud: AWS and/or GCP
• Containers/Orchestration: Kubernetes
• Distributed Systems: Kafka, event-driven architectures, queues, streaming, asynchronous processing
• Agent/Workflow Frameworks: LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, Airflow, or similar
• AI/ML: PyTorch, Hugging Face ecosystem, embeddings, LLM inference, model integration
• Schema & State Management: Pydantic (Python), Zod (TypeScript)
• Exposure to TensorFlow is beneficial.

Preferred Qualifications

• Experience building Agentic AI systems within FinTech or other regulated industries.
• Experience as a Founding Engineer or early technical leader for AI-driven products.
• Demonstrated success delivering complex autonomous AI systems actively used by customers.
• Contributions to open-source AI, LLM, or Agentic AI frameworks.
• Experience with LLM fine-tuning, model optimization, and inference pipelines.
• Strong judgment regarding when to leverage existing agent frameworks versus building lightweight custom orchestration solutions.