Senior/Principal Software Engineer, AI

🔥 2 minutes ago

🏈 Alabama, Arizona, +29 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌽 Illinois – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $153k - $180k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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This company has sponsored H1B visas in the past.

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Nava

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Nava is a public-benefit technology company that designs, builds, and operates modern digital services and open-source software for federal, state, and local government agencies. Nava focuses on improving public benefit delivery—such as unemployment insurance, SNAP, Medicaid, grants, and veteran services—by creating human-centered, resilient systems that scale to millions of users and reduce manual work for government staff. The company also develops tools and pilots AI-enabled solutions to streamline verification and program administration while partnering with agencies to modernize legacy infrastructure and improve outcomes for beneficiaries.

📋 Description

• Lead the end-to-end development of advanced AI solutions, including agentic systems, RAG pipelines, and multi-agent workflows. • Design, build, and optimize LLM-powered autonomous agents, workflow orchestrations, and RAG frameworks. • Create integrations to connect AI agents with enterprise data systems, APIs, and services. Focus on explainable AI and responsible AI principles. • Develop and refine machine learning models and generative AI applications. • Architect end-to-end AI infrastructure, define guardrails, access controls, responsible-AI checks, and compliance protocols to ensure ethical, secure model deployment, model versioning, deploy and manage AI agents on cloud platforms using CI/CD pipelines, and infrastructure as code. • Implement monitoring, logging, and observability for agent interactions, monitor model drift, system latency, and token economics to maintain cost-per-use efficiency and system reliability. • Develop metrics for evaluating and monitoring AI performance. • Contribute to technical documentation, prototyping strategies, and recommendations for future scaling. • Guide multi-disciplinary teams of software engineers, data engineers, and data scientists, setting the technical playbook and best practices.

🎯 Requirements

• Proven experience designing and building production-grade systems using modern programming languages (e.g., Python, TypeScript, or similar). • Strong background in product engineering — translating user and product requirements into reliable, maintainable, and well-tested software. • Advanced proficiency in Python. • Hands-on experience with multiple LLMs, developing or integrating generative AI applications, and building autonomous AI agents. • Experience with AI/ML technologies, ML frameworks, and implementation of GenAI and Agentic AI frameworks. • Experience with CI/CD pipelines, cloud computing platforms(AWS), containerization (Docker), and infrastructure as code (Terraform) for deploying AI applications. • Strong understanding of API and system integration design, cloud architecture, and data workflows. • Demonstrated ability to work iteratively—rapidly prototyping, testing, and improving features based on real-world feedback. • Strong grounding in security, privacy, and accessibility principles, particularly when handling sensitive or regulated data. • Excellent collaboration skills with cross-functional partners including design, product, and research.

🏖️ Benefits

• Health coverage — comprehensive medical, dental, and vision plans to support your overall health needs • Insurance coverage — Nava provides disability, life, and accidental death insurance at no cost • Time off — vacation, holidays (including Juneteenth), and floating holidays to rest and recharge • Company holidays — enjoy 12 paid federal holidays each year on top of your regular PTO • Annual bonus — when Nava meets its goals, eligible employees receive a performance-based annual bonus • Parental leave — paid time off for new parents, plus weekly meals delivered to your home • Wellness program — full platform offering physical, mental, & emotional health resources & support tools • Virtual care — see doctors online with no copay through a virtual visit program (depending on available providers) • Sabbatical leave — earn extended unpaid leave after continuous service for personal growth or rest • 401(k) match — Nava matches 4% of your salary to support your retirement savings plan • Flexible work — remote-first environment with flexibility built around your schedule and responsibilities • Home office setup — company laptop & setup assistance provided via Staples for remote work needs • Utility support — monthly reimbursement to help offset eligible home office utility expenses • Learning opportunities — internal training programs and resources to help grow your professional skills • Development opportunities — LinkedIn Learning access & an annual allowance for courses, tuition, & certs • Referral bonus — get rewarded when you refer great people who join the Nava team • Commuter benefits — pre-tax commuter programs to support in-office travel when applicable • Supportive culture — A collaborative and remote-friendly team environment where people genuinely care