Senior Agentic AI Engineer

About the Role We are hiring a Senior Agentic AI Engineer to lead the design, development, and operation of production-grade AI agents. You will own the full lifecycle of intelligent agent systems, including agent design, retrieval grounding, tool execution, safety controls, observability, API development, and full-stack interfaces.

This is a hands-on, high-impact role. You will define the architecture for our agent platform, mentor other engineers, and ensure our AI systems are secure, reliable, and deeply integrated into our products. What You’ll Own Agent and AI System Engineering Design and implement tool-using, multi-step AI agents for internal and customer-facing workflows such as operations copilots, document-processing agents, workflow automation, and decision-support systems. Build retrieval-augmented generation pipelines, vector search, structured tool calling, grounding layers, and evaluation loops. Reduce hallucinations through retrieval grounding, schema enforcement, guardrails, validation layers, and real-time monitoring. Platform and API Development Build and maintain backend APIs using Python and FastAPI or similar async frameworks. Implement JWT and OAuth2, RBAC, multi-tenant security, and least-privilege access patterns. Ensure agents execute within authorized boundaries with proper logging, auditing, and safety controls. Full-Stack Engineering Deliver features across backend (Python) and frontend (React and Next.js). Build dashboards and UIs for configuring, monitoring, debugging, and interacting with AI agents. Cloud Infrastructure and Operations Deploy and operate containerized services using Docker, AWS ECS Fargate, ECR, ALB, S3, CloudWatch, SSM Parameter Store, SES, Textract, and Redis. Improve reliability, observability, performance, and scalability across the AI platform. Maintain CI and CD pipelines using GitHub Actions. Leadership and Collaboration Mentor junior and mid-level engineers. Lead technical design sessions, define engineering standards, and decompose complex work into actionable plans. Collaborate with product, design, and leadership to convert ambiguous requirements into clear deliverables. Drive architectural decisions for the AI agent platform and surrounding systems. About You

Prior Experience with the Following:

Agentic Systems and AI Engineering Experience building production agentic systems, not simple single-call LLM integrations. Strong understanding of hallucination mitigation, grounding, tool calling, constraints, and safety layers. Experience with RAG systems, embeddings, vector stores, and tool-using agents. Experience integrating agents with APIs, databases, search systems, and external services. Backend and AI Technologies Python 3.10 or newer. FastAPI or similar async web frameworks. PostgreSQL, including vector extensions such as pgvector. SQLAlchemy or equivalent ORM. LangChain, LangGraph, or similar agent frameworks. Experience with major LLM providers and SDKs such as OpenAI, Anthropic, Groq, xAI, and Cohere. Experience with search APIs such as Tavily or similar services. Frontend Technologies React and Next.js. Component libraries such as MUI. State management tools such as Redux or equivalent. Testing using Jest and React Testing Library. Cloud and DevOps AWS services, including ECS Fargate, ECR, ALB, CloudWatch Logs and Metrics, SSM Parameter Store, S3, SES, Textract, and Cognito or similar identity providers. Redis as a cache or queue. Docker with multi-stage builds, image optimization, and debugging containerized applications. CI and CD systems based on GitHub Actions, including build and test pipelines, image publishing, and automated deployments. Shell scripting and Bash, plus experience with AWS CLI. General Engineering Requirements Strong debugging skills across backend, frontend, and infrastructure. Experience operating cloud-hosted production services. Five or more years of professional engineering experience. Experience mentoring engineers and driving architectural decisions. Strong technical communication and documentation skills. Nice to Have Experience in regulated or data-sensitive industries such as finance, healthcare, insurance, or compliance. Background in LLM evaluation frameworks, test sets, A and B testing, or agent observability tooling. Experience with event-driven architectures, workflow engines, or background worker systems. Experience building shared platforms, internal agent frameworks, or reusable infrastructure components. Perks and Benefits Always Remote Work: No daily commute, no traffic, no office. Comprehensive Benefits: Medical, Dental, Vision, and more to keep you and your family healthy. We offer a FREE tier of medical and dental insurance to our employees. Monthly Socials: Play games, earn prizes, and have fun with all employees at Lender Toolkit. Wellness initiatives: Bi-Weekly Meditation, Group Challenges, and More! Lender Toolkit welcomes all candidates with equal opportunity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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