Mid Level AI Engineer Jobs
Mid level ai engineer jobs go to engineers ready to own model development pipelines, lead cross-functional delivery, and make architectural decisions without constant oversight. Roles run across on-site, remote, and hybrid settings in Technology & Software, Electronics & Hardware, and Consulting & Professional Services, with employers like Humana, NVIDIA, and Capgemini hiring at this level now.
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AI Research Scientist (Senior/Staff), Growth - Scaling E-commerce - Up to $240k + Bonus/Equity
You get to architect the agentic infrastructure that runs marketing for a company that just hit a $10 billion valuation. This is a business that crossed $1 billion in revenue in its sixth year. That's not an accident — it's a company that takes technology seriously and builds its own systems instead of stitching together vendors. You're joining at a moment where the foundation is proven and the mandate is wide open: replace the manual optimization loops with a software layer that autonomously handles creative generation, multi-agent workflows, and cross-platform campaign management. This is a high-impact individual contributor role, not a management track. You'll have 0-to-1 autonomy to put frontier LLMs and multi-agent frameworks into production financial and operational workflows — writing the service-layer code yourself, building the automated content loops, and owning the decisioning pipelines that shape real ad spend at scale.
BASIC QUALIFICATIONS
- 4+ years of technical experience
- Expert-level Python and SQL
- Experience operating independently on loosely defined, ambiguous optimization problems without leaning on existing abstraction layers
- Experience shipping real agentic systems that have moved real revenue and operational outcomes
PREFERRED QUALIFICATIONS
- Experience with advertising networks, programmatic bidding, or real-time event-driven architectures
- Background building generative asset platforms in DTC, retail, or e-commerce
You'll be joining the growth and retention team under the Chief Growth Officer, alongside the existing DS/ML researcher bench — building the systems that keep a 150%-year-over-year business compounding, with real potential to eventually commercialize what you build.
The role is hybrid, so you are in the Palo Alto office 3x/week and have flexibility the rest of the time.
Ready to work on something that actually ships? Apply now.
AI Research Scientist (Senior/Staff), Growth - Scaling E-commerce - Up to $240k + Bonus/Equity
You get to architect the agentic infrastructure that runs marketing for a company that just hit a $10 billion valuation. This is a business that crossed $1 billion in revenue in its sixth year. That's not an accident — it's a company that takes technology seriously and builds its own systems instead of stitching together vendors. You're joining at a moment where the foundation is proven and the mandate is wide open: replace the manual optimization loops with a software layer that autonomously handles creative generation, multi-agent workflows, and cross-platform campaign management. This is a high-impact individual contributor role, not a management track. You'll have 0-to-1 autonomy to put frontier LLMs and multi-agent frameworks into production financial and operational workflows — writing the service-layer code yourself, building the automated content loops, and owning the decisioning pipelines that shape real ad spend at scale.
BASIC QUALIFICATIONS
- 4+ years of technical experience
- Expert-level Python and SQL
- Experience operating independently on loosely defined, ambiguous optimization problems without leaning on existing abstraction layers
- Experience shipping real agentic systems that have moved real revenue and operational outcomes
PREFERRED QUALIFICATIONS
- Experience with advertising networks, programmatic bidding, or real-time event-driven architectures
- Background building generative asset platforms in DTC, retail, or e-commerce
You'll be joining the growth and retention team under the Chief Growth Officer, alongside the existing DS/ML researcher bench — building the systems that keep a 150%-year-over-year business compounding, with real potential to eventually commercialize what you build.
The role is hybrid, so you are in the Palo Alto office 3x/week and have flexibility the rest of the time.
Ready to work on something that actually ships? Apply now.
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Find Mid Level AI Engineer JobsMid Level AI Engineer Job Market
Who's Hiring
- Humana10
- NVIDIA10
- Capgemini8
- Apple7
- JPMorganChase7
Top Industries Hiring
- Technology & Software125
- Electronics & Hardware25
- Consulting & Professional Services25
- Banking & Financial Services16
- Insurance9
Mid Level AI Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you drove decisions end to end, improved model performance measurably, or shipped features with real user impact. In your application, show depth in a specific domain like NLP, computer vision, or MLOps rather than breadth alone. Recruiters at this level want evidence you can work with limited oversight, so concrete outcomes matter more than credentials.
Which companies hire mid level ai engineers?
Companies hiring mid level ai engineers right now include Humana, NVIDIA, and Capgemini, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide mix of tech-forward enterprises, high-growth startups, and established firms building out dedicated AI teams.
Are there remote mid level ai engineer jobs?
Yes, remote and hybrid options are common at this level. About 38% of mid level ai engineer openings are remote or hybrid as of September 2026, reflecting strong demand from distributed engineering teams who can onboard experienced engineers with less ramp-up time than entry-level hires.
How do I move up to a mid level ai engineer role?
Growing into a mid level ai engineer role means going deeper, not just logging time. Engineers who make the jump take on full ownership of a feature or model, start mentoring colleagues informally, and build a record of measurable impact. Specializing in an area like large language models, recommendation systems, or ML infrastructure accelerates that transition by making your contributions harder to replicate.
Which industries hire the most mid level ai engineers?
Mid Level ai engineer roles concentrate in Technology & Software, Electronics & Hardware, and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are actively scaling AI capabilities beyond proof-of-concept and need engineers who can own production systems independently.