AI Engineer (LLM Agents & Workflow Automation)

This

position

is

listed

on

behalf

of

a

partner

company,

who

manages

all

applications

and

next

steps.

Our

partner

is

looking

for

an

AI

Engineer

(LLM

Agents

&

Workflow

Automation)

based

in

India

.

As

an

AI

Engineer,

you

will

design,

develop,

and

deploy

intelligent

workflows

and

AI-powered

agents

that

solve

real-world

operational

challenges

in

the

mortgage

industry.

You

will

work

closely

with

engineers,

domain

experts,

and

US-based

clients

to

understand

business

processes

and

turn

them

into

practical

AI

solutions.

From

automating

document

collection

and

verification

to

streamlining

borrower

communication

and

loan

processing,

your

work

will

have

a

direct

impact

on

business

efficiency.

You

will

take

ownership

of

projects

from

initial

problem

discovery

through

production

deployment

and

continuous

improvement.

Working

in

a

collaborative,

client-focused

environment,

you

will

have

the

opportunity

to

experiment

with

modern

LLM

technologies

and

build

solutions

used

by

real

customers.

This

is

an

excellent

opportunity

for

an

early-career

engineer

looking

to

grow

in

applied

AI

and

workflow

automation.

Accountabilities:

Understand

client

workflows:

Collaborate

directly

with

client

stakeholders,

operational

teams,

and

domain

experts

to

understand

existing

processes,

systems,

business

challenges,

and

automation

opportunities.

Identify

and

scope

AI

solutions:

Translate

business

problems

into

clearly

defined

technical

requirements,

establishing

measurable

success

criteria

and

practical

implementation

plans.

Develop

AI-powered

agents:

Build

and

deploy

LLM-based

agents

and

intelligent

workflows

that

automate

operational

tasks,

process

information,

and

improve

business

efficiency.

Build

system

integrations:

Connect

AI

solutions

with

client

applications,

APIs,

databases,

and

third-party

platforms

to

enable

seamless

information

exchange

and

workflow

automation.

Ensure

production

readiness:

Implement

essential

production

capabilities,

including

conversation

history,

logging,

monitoring,

exception

handling,

human

review,

and

escalation

mechanisms.

Manage

deployment

and

optimization:

Release

solutions

to

real

users,

monitor

performance,

resolve

unexpected

issues,

and

deliver

regular

improvements

based

on

operational

feedback.

Measure

business

impact:

Track

and

evaluate

solution

performance

through

metrics

such

as

processing

time,

accuracy,

manual

effort

reduction,

and

overall

team

productivity.

Take

end-to-end

ownership:

Manage

assigned

projects

from

problem

identification

and

development

through

deployment,

maintenance,

and

continuous

enhancement.

Requirements:

Professional

experience:

1.5–4

years

of

software

engineering

experience,

including

hands-on

experience

developing

applications

powered

by

Large

Language

Models

(LLMs).

Programming

skills:

Strong

proficiency

in

Python

and

the

ability

to

build

reliable,

maintainable

applications.

LLM

expertise:

Practical

experience

working

with

LLM

APIs

such

as

OpenAI,

Anthropic,

or

equivalent

platforms.

Agent

and

RAG

frameworks:

Familiarity

with

frameworks

such

as

LangChain

or

LangGraph

and

experience

developing

AI

agents,

retrieval-augmented

generation

(RAG)

systems,

or

LLM-powered

workflows.

Integration

capabilities:

Experience

connecting

applications

with

APIs,

databases,

and

third-party

systems

to

build

functional,

interconnected

solutions.

Production

engineering:

Understanding

of

how

to

deploy

and

maintain

AI

applications,

including

monitoring,

logging,

exception

handling,

and

output

reliability.

Communication

skills:

Excellent

written

and

spoken

English,

with

the

confidence

to

communicate

directly

with

US-based

clients

and

technical

stakeholders.

Ownership

mindset:

Ability

to

independently

take

responsibility

for

a

defined

problem,

make

technical

decisions,

and

deliver

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.

#LI-CL1