Senior Agentic AI Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement autonomous multi-agent AI systems that are capable of reasoning, planning, tool utilization, workflow automation, and collaboration with human input.

• Create intelligent orchestration pipelines that coordinate large language models (LLMs), specialized agents, enterprise tools, and structured reasoning workflows.

• Develop reusable agent architectures and orchestration patterns to expedite intelligent application development across the platform.

• Design and refine Retrieval-Augmented Generation (RAG) pipelines, which include document ingestion, embeddings, hybrid retrieval, reranking, semantic search, context engineering, and prompt orchestration.

• Integrate AI systems with source code repositories, enterprise documentation, APIs, structured data, and knowledge repositories.

• Ensure that every AI-generated response is explainable, evidence-based, and traceable to credible sources.

• Design and implement scalable backend services, APIs, and cloud-native applications that support enterprise AI workloads.

• Develop distributed systems that deliver low-latency AI experiences while ensuring security, reliability, and observability.

• Optimize performance, latency, throughput, model quality, and infrastructure costs across production AI systems.

• Implement testing, evaluation, monitoring, observability, guardrails, and LLMOps practices to keep AI systems trustworthy and production-ready.

• Continuously assess emerging models, frameworks, and engineering practices to enhance platform capabilities.

• Build AI systems that operate predictably in highly regulated enterprise environments.

• Collaborate closely with AI architects, platform engineers, front-end engineers, designers, and product leaders to provide integrated AI-powered experiences.

• Mentor engineers through technical leadership, architecture discussions, design reviews, and collaborative problem-solving.

• Assist in establishing engineering standards, reusable frameworks, and best practices throughout the AI engineering organization.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Engineering, or a related technical field (or equivalent professional experience).

• 7+ years of professional software engineering experience in designing and constructing distributed production systems.

• A minimum of 3 years in designing, developing, and deploying production AI applications beyond proof-of-concept environments.

• Strong proficiency in Python and modern backend software engineering practices.

• Experience in building enterprise APIs, microservices, and cloud-native applications.

• Hands-on experience in developing applications that utilize Large Language Models (LLMs) and Generative AI.

• Experience in creating Agentic AI solutions using frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar technologies.

• Significant experience in designing Retrieval-Augmented Generation (RAG) architectures, including embeddings, vector search, hybrid retrieval, reranking, context engineering, and grounding techniques.

• Experience in integrating AI systems with enterprise APIs, databases, cloud platforms, and business applications.

• Familiarity with Docker, Kubernetes, Git, CI/CD pipelines, and modern DevOps practices.

• Solid understanding of software architecture, testing, observability, debugging, and production operations.

• Exceptional communication skills, with the ability to articulate complex technical concepts to both engineering and business stakeholders.

• Capacity to tackle challenging engineering problems from first principles.

• Ability to think critically about system architecture, reliability, and scalability.

• A strong passion for explainability alongside model performance.

• Comfort in navigating between distributed systems, AI frameworks, and product engineering.

• A willingness to take responsibility for ambiguous, high-impact technical challenges.

• Experience with AI coding assistants, autonomous agents, and model-driven engineering workflows.

• A technically skilled engineer with a preference for developing products that create lasting impact rather than focusing solely on incremental feature development.

🏝️ Benefits

• Comprehensive benefits for you and your family.

• Access to cutting-edge tools and technologies.

• A culture that promotes innovation, growth, and collaboration.

• The opportunity to contribute to high-visibility federal missions.

• A career path that rewards ambition and performance.