Forward Deployed Engineer (Voice AI)

Codesearch AI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Codesearch AI in New York City is building a forward deployed engineering function to own end-to-end customer workstreams for high-volume voice AI deployments. You will shape how we design, implement, and monitor agent workflows, translating client needs into production-ready solutions while closely collaborating with the engineering team.

You will own the post-sale lifecycle, define success metrics, and drive improvements from go-live, with a focus on scale and reliability in real-world

Qualifications

• 4–6 years total, with at least two years in a customer-facing engineering role
• At least two years shipping production software as a full-stack engineer
• Built and scaled agentic workflows in production, not prototypes
• Genuinely client-facing: can run technical discovery and carry it to production
• Startup experience; big tech only acceptable if preceded by scrappy early work
• Technical degree in computer science, engineering, maths or similar

Responsibilities

• Own the post-sale cycle end to end: gather requirements from the customer, define what gets built, drive it to go-live, then keep improving it
• Get deep on each customer's workflows and objectives to design the agent and evaluation around it
• Monitor agent performance in production, identify failure patterns, and ship improvements based on real feedback
• Work with engineering to identify capabilities worth building into core product instead of per-account builds
• Own the relationship after go-live: the trusted technical contact and account growth driver
• Shape the function's operations: the implementation playbook, processes and standards; the team is small so your work sticks

Skills

Customer-facing engineering

Full-stack software

Agentic workflows

Production software

Startup experience

Technical degree

Education

Bachelors degree or higher in CS/Engineering/Math

Job description

Voice AI agents holding thousands of live conversations a day, in production with national-scale enterprise customers.

A forward deployed function being built out from a handful of people; you’ll still be very early and help shape the function and product.

Our client builds voice AI agents that run structured, high-volume conversations for large enterprise customers. They have gone from zero calls to several thousand a day, and they are now onboarding customers faster than the founders can personally implement them.

Until recently, every implementation has been driven by a co-founder and the customer success lead. They are building a forward deployed engineering function to own it instead - requirements through to a live, monitored, continuously improving deployment. They’re hiring 3-4 FDEs into it.

What You'll Be Doing

• Own the post-sale cycle end to end: gather requirements from the customer, define what gets built, drive it to go-live, then keep making it better
• Get deep on each customer's workflows and objectives until you know exactly what good looks like for them, then design the agent and the evaluation around it
• Monitor agent performance in production, find the failure patterns, and ship improvements off the back of real customer feedback
• Work directly with the engineering team to spot the capabilities worth building into the core product rather than rebuilding account by account
• Own the relationship after go-live - the technical contact customers trust, and the person who grows the account
• Shape how the function runs: the implementation playbook, the process, the standards. The team is small enough that what you build sticks

What You'll Need

• 4-6 years total, with at least two years in a customer-facing engineering role - forward deployed, solutions engineering or applied AI - and two shipping production software as a full-stack engineer
• You have built and scaled agentic workflows in production, not prototypes - orchestration, prompting, evaluation, the operational side of keeping them running
• Genuinely client-facing: you can run technical discovery, translate a messy business requirement into a build, and carry it through to production yourself
• Startup experience. A big tech background only works if it sits alongside time somewhere scrappy and early
• A technical degree - computer science, engineering, maths or similar

Bonus

• Voice or conversational AI, especially real-time or high-volume environments
• You have been inside a company through a genuine step change in scale and know what breaks
• A track record of turning recurring custom work into core product

The Person

You want your work live, in front of customers, and improving. You are driven by outcomes rather than tickets closed, and you are ambitious enough to want the upside that comes with getting a function off the ground properly. You communicate well - with engineers, with customers, and with a founder who wants the honest version. You are comfortable defining the problem as you go, because there is no playbook here yet. And you have seen enough scale to know the difference between a demo that works and a system that holds.

The Role

• Full-time, New York City - four days a week in the office
• No travel requirement. Customers are largely US-based, but implementations are run from the office
• You will report to a hands-on technical leader and meet a co-founder during the process. The team is a few people today and growing to four or five, with one more joining shortly