Senior Level Software Engineer AI Jobs
Senior level software engineer ai jobs place experienced engineers in charge of architectural decisions, model strategy, and the cross-functional teams that ship production AI systems. Hiring covers a strong mix of on-site, remote, and hybrid settings across Technology & Software, Electronics & Hardware, and Banking & Financial Services, with 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 Software Engineer AI 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 Software Engineer AI Jobs: Frequently Asked Questions
How do I get a senior level software engineer ai job?
Employers hiring at the senior level look for engineers who have led AI systems from design through production deployment, not just contributed to them. Demonstrating ownership of model architecture choices, infrastructure tradeoffs, and measurable outcomes gives candidates a clear edge. Strong candidates also show they have mentored engineers, influenced technical roadmaps, and driven cross-team alignment on complex problems.
Which companies hire senior level software engineer ais?
Companies hiring senior level software engineer ais right now include NVIDIA, Humana, and Databricks, based on current listings on Migrate Mate as of June 2026. Hiring at this level tends to concentrate in organizations building or scaling production AI products, including large technology platforms, AI-native startups, and enterprises integrating machine learning into core operations.
Are there remote senior level software engineer ai jobs?
Yes, remote and hybrid availability is strong at this level. About 45% of senior level software engineer ai openings are remote or hybrid as of June 2026, reflecting how many organizations treat senior AI engineers as distributed contributors who own outcomes regardless of location. On-site roles do exist, particularly at hardware-dependent or regulated environments.
What makes a software engineer ai role senior level?
Senior level roles are defined by scope and ownership rather than task execution. Engineers at this stage set technical direction, evaluate and select approaches across the full ML lifecycle, and are accountable for system reliability and business impact. They typically mentor mid-level engineers, lead design reviews, and represent their team in cross-functional planning, making leadership as central as technical depth.
Which industries hire the most senior level software engineer ais?
Senior level software engineer ai roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of June 2026. These sectors drive hiring at this level because they are either building AI as a core product or embedding it deeply into existing workflows where experienced engineers are needed to own the architecture and long-term technical direction.