Location: Remote (United States)
Work Model: Remote
Industry: AI transformation & implementation consulting
Compensation: $180K base, $220K-$500K+ OTE
About the Company
Our partner is a fast-growing AI transformation and implementation consultancy serving Fortune 500 clients across AI strategy and AI engineering. A preferred implementation partner of a leading AI research lab, they work directly with the C-suites of top companies on high-priority, confidential AI initiatives. Fully bootstrapped and cash-flow profitable since day one, the team is roughly 40 people today and doubling headcount every quarter, with plans to reach 150-200 by year end. The consulting business also funds a growing portfolio of ambitious longer-term bets.
The Opportunity
As a Forward Deployed Engineer, you'll be a post-sale, client-facing software engineer implementing AI solutions directly on each client's tech stack. You'll be paired with an AI strategist who owns relationship management and status updates, freeing you to focus on building, presenting, and shipping real solutions alongside the client.
This is a high-agency, high-upside role at an early and rapidly scaling company. You'll work across a range of tech stacks depending on the client, take on meaningful autonomy from day one, and grow into expanded scope over time, with clear paths toward senior engineering titles and engineering management as the team scales.
Responsibilities
Build, implement, and present AI solutions on clients' existing tech stacks in a post-sale, client-facing capacity
Partner closely with an AI strategist who manages the client relationship, while you own the technical build and delivery
Ship production software across the full stack in a collaborative team environment
Lead technical initiatives and operate with a high degree of autonomy
Occasionally support pre-sale scoping when needed (not a standard expectation)
Travel to client sites roughly 1-2 times per month as required
Requirements
3-8 years of software engineering experience
Strong full-stack engineer comfortable shipping production software in a team
Demonstrated experience designing, developing, and maintaining web applications and agentic applications
Track record of leading technical initiatives and operating independently
Client-facing experience strongly preferred and used as a differentiator among comparable candidates
Backgrounds as a former founder, CTO, or founding engineer of a startup are highly valued, as is experience running an engineering-led AI consulting effort
Computer science or engineering education is a plus
Comfortable with an in-person, fast-paced environment and a willingness to put in effort beyond a standard week
Originally posted on Himalayas