Senior Level AI Software Developer Jobs
Senior level ai software developer jobs place engineers at the center of critical decisions, from architecting production AI systems to leading the teams and technical roadmaps that deliver them. Openings are concentrated across Technology & Software, Electronics & Hardware, and Banking & Financial Services, with 45% remote or hybrid availability, and employers like NVIDIA, Humana, and Databricks hiring at this level now.
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Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you'll build agentic product experiences that understand a traveler's loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge.
What You'll Do:
- Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.
- Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.
- Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests.
- Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.
- Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.
- Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.
- Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.
What We're Looking For:
- 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.
- Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.
- Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.
- Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.
- Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.
- Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.
- Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.
- Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you'll build agentic product experiences that understand a traveler's loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge.
What You'll Do:
- Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.
- Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.
- Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests.
- Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.
- Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.
- Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.
- Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.
What We're Looking For:
- 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.
- Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.
- Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.
- Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.
- Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.
- Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.
- Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.
- Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
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Find JobsSenior Level AI Software Developer Job Market
Who's Hiring
- NVIDIA12
- Humana10
- Databricks10
- Palo Alto Networks9
- Apple7
Top Industries Hiring
- Technology & Software109
- Electronics & Hardware29
- Banking & Financial Services20
- Insurance18
- Healthcare & Medical Services16
Senior Level AI Software Developer Jobs: Frequently Asked Questions
How do I get a senior level ai software developer job?
Employers at this level look for engineers who have owned the full lifecycle of AI systems in production, not just contributed to them. Demonstrating that you have set technical direction, mentored other engineers, and driven measurable outcomes with machine learning or large language model deployments gives you a clear edge. A portfolio of shipped systems, open-source contributions, or published research strengthens your candidacy significantly.
Which companies hire senior level ai software developers?
Companies hiring senior level ai software developers right now include NVIDIA, Humana, and Databricks, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large technology organizations, AI-native startups scaling their engineering teams, and enterprises integrating AI into core products.
Are there remote senior level ai software developer jobs?
Yes, remote work is common at this level, though many senior roles include some on-site expectations tied to team leadership. About 45% of senior level ai software developer openings are remote or hybrid as of July 2026, reflecting strong demand from distributed engineering organizations willing to hire experienced talent anywhere in the country.
What makes an ai software developer role senior level?
Senior level ai software developer roles are defined by ownership and scope rather than task completion. Engineers at this stage are expected to architect systems independently, make consequential technical decisions, mentor mid-level and junior colleagues, and align AI work with broader product or business objectives. The role typically requires deep fluency in model development, evaluation, and deployment pipelines, along with the communication skills to influence cross-functional stakeholders.
Which industries hire the most senior level ai software developers?
Senior level ai software developer roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring because they are actively embedding AI into core products, operations, and decision-making processes, creating sustained demand for engineers who can lead that work at scale.