J
Forward Deployed AI Engineer
JumpOff
3 hours ago
Full-time
On-site
Sandy Springs, Georgia, United States
About the role
You build the AI systems our clients run on. You work inside the client’s own systems and data, next to their teams, and take a solution from first prototype to something in production that their people use every day. You report to our AI Engineering Lead and work alongside the people who own the business side of each engagement.
Most of your time goes to building: pipelines, integrations, LLM-based workflows and the testing and monitoring around them. Some of it is with clients, working out what their data and systems can support. Some of it goes into the shared tools we carry from one engagement to the next.
What you will do
Build and deploy AI solutions in client environments: data pipelines, integrations with client systems, LLM-based workflows and agents, and the applications people use them through
Work with client technical teams on access, environments and security
Test model output before it reaches users, and monitor it once it is live
Fix what breaks in production, and improve what you built based on how people use it
Turn one-off builds into reusable components for the next engagement
Document what you build so the client’s team can run it
Travel to client sites, up to about 30% of the time
Other duties as assigned
What you will learn here
Shipping AI into businesses with payrolls, customers and auditors, across many industries and many technology stacks
Scoping with the people who own the business outcome, so what you build is worth building
Frontier tooling in depth, across vendors, with certification supported
Engineering standards for production AI, from the people setting them
Who you work with Strategists, builders and operators from private equity, management consulting and technology, with backgrounds at companies like Boston Consulting Group, Palo Alto Networks, Microsoft, Meta and AbbVie. We use frontier models every day, on client work and on our own, we move quickly, and we say what we think. You work directly with the founder.
Low-ego, high-agency team players who are energized by the AI moment, thrive on delivering transformational results for our clients and navigating the rapidly expanding AI frontier from up close.
What this sets you up for Engineers who can make AI hold up in production and explain it to the people paying for it are rare, and will stay in demand. This role builds both, at the frontier and across industries. The role grows with what you show you can own.
Job Requirements* What you bring on day one
3+ years building and shipping software that people relied on in production
Strong Python and SQL
APIs and integrations: getting data out of one system, into another, and keeping the two in sync
Hands-on deployment on AWS, Azure or GCP
LLMs in production or close to it, with a habit of evaluating output before it reaches users
Daily use of coding agents, and the discipline to check what they produce
Clear explanations of technical choices for people who do not care how it was built
Discretion. You will see client data and firm-level information
Based in Atlanta and working from our Sandy Springs office, with client travel. Eligible to work in the US
Preferred
A customer-facing technical role: solutions, implementation or forward-deployed engineering
Startup experience, or something you built from zero
Microsoft or AWS data and AI services
Work with sensitive or regulated data, such as HIPAA, SOC 2 or financial data
Not required
An ML research or model-training background
Prior consulting experience
A computer science degree, where experience shows the equivalent
JumpOff is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected characteristic. If you need an accommodation during the application process, contact hello@jumpoff.ai
#J-18808-Ljbffr
Most of your time goes to building: pipelines, integrations, LLM-based workflows and the testing and monitoring around them. Some of it is with clients, working out what their data and systems can support. Some of it goes into the shared tools we carry from one engagement to the next.
What you will do
Build and deploy AI solutions in client environments: data pipelines, integrations with client systems, LLM-based workflows and agents, and the applications people use them through
Work with client technical teams on access, environments and security
Test model output before it reaches users, and monitor it once it is live
Fix what breaks in production, and improve what you built based on how people use it
Turn one-off builds into reusable components for the next engagement
Document what you build so the client’s team can run it
Travel to client sites, up to about 30% of the time
Other duties as assigned
What you will learn here
Shipping AI into businesses with payrolls, customers and auditors, across many industries and many technology stacks
Scoping with the people who own the business outcome, so what you build is worth building
Frontier tooling in depth, across vendors, with certification supported
Engineering standards for production AI, from the people setting them
Who you work with Strategists, builders and operators from private equity, management consulting and technology, with backgrounds at companies like Boston Consulting Group, Palo Alto Networks, Microsoft, Meta and AbbVie. We use frontier models every day, on client work and on our own, we move quickly, and we say what we think. You work directly with the founder.
Low-ego, high-agency team players who are energized by the AI moment, thrive on delivering transformational results for our clients and navigating the rapidly expanding AI frontier from up close.
What this sets you up for Engineers who can make AI hold up in production and explain it to the people paying for it are rare, and will stay in demand. This role builds both, at the frontier and across industries. The role grows with what you show you can own.
Job Requirements* What you bring on day one
3+ years building and shipping software that people relied on in production
Strong Python and SQL
APIs and integrations: getting data out of one system, into another, and keeping the two in sync
Hands-on deployment on AWS, Azure or GCP
LLMs in production or close to it, with a habit of evaluating output before it reaches users
Daily use of coding agents, and the discipline to check what they produce
Clear explanations of technical choices for people who do not care how it was built
Discretion. You will see client data and firm-level information
Based in Atlanta and working from our Sandy Springs office, with client travel. Eligible to work in the US
Preferred
A customer-facing technical role: solutions, implementation or forward-deployed engineering
Startup experience, or something you built from zero
Microsoft or AWS data and AI services
Work with sensitive or regulated data, such as HIPAA, SOC 2 or financial data
Not required
An ML research or model-training background
Prior consulting experience
A computer science degree, where experience shows the equivalent
JumpOff is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected characteristic. If you need an accommodation during the application process, contact hello@jumpoff.ai
#J-18808-Ljbffr