Agentic AI Engineer / Applied AI Engineer

Job Description:

• We are seeking a highly skilled Agentic AI Engineer / Applied AI Engineer to design, develop, and deploy next-generation AI systems. This role focuses on leveraging large language models (LLMs), autonomous agents, retrieval systems, and intelligent workflows to solve complex enterprise challenges.
• At the 409 level (Senior Software Engineer), this position requires strong hands-on engineering expertise, sound software architecture skills, and the ability to independently lead the delivery of scalable AI-powered products and platforms. The ideal candidate combines solid software engineering fundamentals with applied AI/ML experience and thrives in fast-paced, innovation-driven environments.

Key Responsibilities

AI Agentic Systems Development

• Design and implement intelligent AI agents capable of reasoning, planning, tool usage, memory management, and multi-step workflow execution.
• Build production-grade LLM applications using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar orchestration platforms.
• Develop retrieval-augmented generation (RAG) pipelines that integrate vector databases with enterprise knowledge systems.
• Create autonomous workflows that connect APIs, tools, databases, and enterprise services.

Applied AI Engineering

• Fine-tune, evaluate, and optimize LLMs and generative AI systems for enterprise use cases.
• Develop prompt engineering strategies, evaluation pipelines, guardrails, and AI safety mechanisms.
• Implement AI observability, monitoring, hallucination detection, and performance optimization solutions.
• Work with structured and unstructured data pipelines for AI model consumption.

Software Engineering and Platform Development

• Build scalable backend services and APIs using Python, Java, Node.js, or Go.
• Design cloud-native AI architectures on platforms such as AWS, Azure, or Google Cloud Platform.
• Develop microservices and containerized applications using Docker and Kubernetes.
• Implement CI/CD pipelines, testing frameworks, and infrastructure-as-code practices.

Leadership and Collaboration

• Lead technical design discussions and architecture reviews.
• Mentor junior engineers and guide AI engineering best practices.
• Collaborate with product managers, data scientists, architects, and business stakeholders to deliver AI-driven solutions.
• Drive technical innovation and contribute to enterprise AI strategy.

Required Qualifications

• Bachelor s or Master s degree in Computer Science, Engineering, AI/ML, or a related field.
• At least 5 years of software engineering experience.
• At least 2 years of hands-on experience building generative AI or LLM-based applications.
• Strong programming skills in Python and at least one additional language such as Java, Go, or JavaScript/TypeScript.
• Experience with LLM APIs such as OpenAI, Anthropic, or open-source models.
• Hands-on experience with vector databases such as Pinecone, Weaviate, FAISS, or ChromaDB.
• Strong understanding of RAG architectures, semantic search, REST APIs, distributed systems, and scalable backend design.
• Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.
• Strong understanding of software design patterns, system scalability, and observability.

Technical Skills

Programming and Frameworks

• Languages: Python, Java, TypeScript, Go
• Frameworks and platforms: FastAPI, Flask, Spring Boot, Node.js
• Agent orchestration: LangChain, LangGraph, CrewAI, AutoGen
• AI/ML tooling: PyTorch, TensorFlow, Hugging Face

Mandatory Skills: AI implementation infrastructure, vector databases, RAG, Docker, Google Cloud Platform DevOps, LangChain, MLOps, and Python.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.