Staff Software Engineer, AI Developer Productivity

This

position

is

listed

on

behalf

of

a

partner

company,

which

manages

all

applications

and

next

steps.

Our

partner

is

looking

for

a

Staff

Software

Engineer,

AI

Developer

Productivity

based

in

the

United

States

.

In

this

role,

you

will

help

transform

software

engineering

practices

by

designing

and

deploying

advanced

AI-powered

tools

and

agentic

workflows.

As

a

founding

engineering

team

member,

you

will

shape

how

developers

build,

review,

test,

and

deliver

software

across

critical

financial

technology

systems.

You

will

lead

the

architecture

and

implementation

of

intelligent

automation

solutions

that

improve

code

quality,

accelerate

development

cycles,

and

increase

engineering

productivity.

Working

closely

with

AI,

platform,

infrastructure,

and

product

teams,

you

will

develop

scalable

capabilities

tailored

to

demanding

institutional

environments.

You

will

also

establish

best

practices

for

responsible

AI

adoption,

ensuring

security,

reliability,

and

human

oversight

remain

central

to

development.

This

is

an

opportunity

to

make

a

significant

technical

impact

in

a

fast-paced,

remote-first

environment

at

the

intersection

of

artificial

intelligence

and

financial

infrastructure.

Accountabilities:

Design

AI-powered

engineering

workflows:

Lead

the

architecture,

development,

and

deployment

of

agentic

AI

solutions

that

continuously

improve

code

quality

through

automated

refactoring,

test

generation,

and

proactive

bug

detection.

Build

developer

productivity

tools:

Integrate

large

language

models

(LLMs)

and

AI

agents

into

engineering

workflows,

supporting

activities

ranging

from

code

review

and

development

to

testing

and

deployment.

Develop

scalable

AI

capabilities:

Create

reliable,

production-ready

systems

that

automate

repetitive

engineering

tasks

and

improve

software

development

efficiency.

Collaborate

across

technical

teams:

Partner

with

platform

AI,

developer

experience

(DevX),

infrastructure,

and

product

engineering

teams

to

leverage

shared

technologies

while

addressing

specific

institutional

requirements.

Drive

AI

adoption:

Promote

AI-assisted

development

practices

across

engineering

teams,

supporting

implementation,

adoption,

and

continuous

improvement.

Measure

engineering

impact:

Establish

and

monitor

performance

indicators

related

to

development

velocity,

code

quality,

workflow

efficiency,

cost

optimization,

and

developer

satisfaction.

Establish

technical

standards:

Define

best

practices

and

technical

guidelines

for

human-AI

collaboration,

ensuring

AI-powered

development

remains

secure,

reliable,

and

appropriately

governed.

Ensure

responsible

AI

implementation:

Maintain

appropriate

human

oversight,

auditability,

and

security

controls

when

deploying

AI

agents

in

sensitive

financial

systems.

Shape

the

technical

roadmap:

Identify

opportunities

to

expand

AI-driven

engineering

capabilities

and

influence

the

long-term

developer

productivity

strategy.

Requirements:

Professional

experience:

At

least

8

years

of

software

engineering

experience,

including

a

minimum

of

2

years

developing

AI-

or

LLM-powered

developer

tools,

agentic

workflows,

or

automated

code

engineering

systems.

Production

AI

experience:

Demonstrated

success

designing,

building,

and

deploying

production-grade

systems

that

integrate

LLMs

or

AI

agents

into

software

development

lifecycles,

including

code

generation,

automated

code

review,

and

CI/CD

automation.

Programming

expertise:

Strong

proficiency

in

Java,

Python,

Go,

or

comparable

backend

programming

languages.

AI

agent

frameworks:

Hands-on

experience

developing

and

orchestrating

AI

agent

architectures

using

frameworks

such

as

LangChain,

LangGraph,

or

custom-built

solutions.

Software

engineering

fundamentals:

Strong

understanding

of

backend

architecture,

software

development

processes,

automation,

testing,

and

deployment

practices.

Cross-functional

collaboration:

Proven

ability

to

work

effectively

How Jobgether works

• We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
• We appreciate your interest and wish you the best!
• Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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