Ubique Systems

TRPD-26-06033

AI Developer / Forward Deployment Engineer

Hire an AI Developer / Forward Deployment Engineer (3–4 years) in India for a permanent role. The position focuses on building and deploying AI/ML solutions close to customers or production environments, requiring strong software engineering fundamentals plus practical ML/LLM deployment skills and the ability to integrate models into real systems.

Position summary

Location
India
Workplace
On-site
Employment
Full Time
Experience
Minimum 3 years and Maximum 4 years
Apply now

Role overview

Why This Role Matters.

Hire an AI Developer / Forward Deployment Engineer (3–4 years) in India for a permanent role. The position focuses on building and deploying AI/ML solutions close to customers or production environments, requiring strong software engineering fundamentals plus practical ML/LLM deployment skills and the ability to integrate models into real systems.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

01

AI Developers / Forward Deployment Engineers

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

01

AI

02

ML

03

LLM

04

Forward Deployment

05

FDE

06

Deployment Engineer

07

MLOps

08

Python

09

APIs

10

Microservices

11

Docker

12

Kubernetes

13

AWS

14

Azure

15

GCP

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

AI/ML development

Production deployment of AI solutions

Software engineering fundamentals

Customer/field-facing implementation (forward deployment)

Preferred

Nice to Have

LLM application development

MLOps practices (CI/CD, monitoring)

Cloud deployment (AWS/Azure/GCP)

Data engineering basics (ETL, pipelines)

Containerization (Docker)

Orchestration (Kubernetes)

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

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