Senior AI Software Engineer – Agentic AI / LLM Systems - Fulltime

Job Title: Senior AI Software Engineer – Agentic AI / LLM SystemsLocation: Jersey City, Dallas, Menlo Park, Seattle (Onsite) Employment Type: Full-Time Role OverviewWe are looking for a hands-on AI Software Engineer to design, build, and deploy agentic AI systems powered by large language models (LLMs).This is a deeply technical individual contributor role focused on building production-grade AI systems, not architecture-only or leadership positions.You will work on developing multi-agent workflows, intelligent automation systems, and scalable LLM platforms to enhance production operations and decision-making.Key Responsibilities:Design and develop agentic AI systems using LLMs, tool-calling, and orchestration frameworks Build and deploy multi-agent workflows (planning, reasoning, execution loops) Develop backend services and APIs to support AI-driven applications Implement RAG pipelines and retrieval systems for enterprise-scale use cases Integrate AI systems with observability, monitoring, and operational workflows Deploy and scale systems using cloud infrastructure, containers, and orchestration tools Ensure reliability, evaluation, and governance of LLM-based systems Collaborate with engineering teams to deliver production-ready AI solutions Required Qualifications7–12 years of experience in software engineering, AI/ML engineering, or backend systems Strong programming skills in Python (required) Proven experience building production-grade systems (APIs, microservices, distributed systems) Hands-on experience with LLMs and GenAI systems MUST-HAVE SKILLS (CRITICAL)Experience building agent-based AI systems Multi-agent orchestration Tool usage / function calling Planning / reasoning workflows Hands-on experience with frameworks such as: LangGraph, LangChain, AutoGen, CrewAI (or similar) Experience building and deploying: RAG pipelines LLM-powered applications Strong backend engineering experience: REST APIs (FastAPI, Flask, etc.) Microservices / distributed systems Experience with deployment and scaling: Docker, Kubernetes Cloud platforms (AWS, GCP, or Azure) Preferred QualificationsExperience with LLM evaluation frameworks (Ragas, Langfuse, etc.) Experience building production agent systems at scale Familiarity with observability, monitoring, and reliability engineering Experience in financial services or enterprise environments Not a Fit IfPrimarily focused on architecture, strategy, or leadership roles Limited hands-on coding or system development Experience limited to POCs or basic chatbot implementations Pure data science or research-focused background Key TraitsStrong engineering mindset (builder first) Ability to design and implement end-to-end systems Comfortable working in production environments High ownership and problem-solving ability