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TRCD-26-05183
AI/ML Integration & Deployment Engineer (LLM Workflows, TextQL, Cube.dev)
Contract role in Pune for a 3–5 years engineer who can integrate and deploy AI/ML models into production systems. The focus is on hands-on model integration/deployment, building LLM workflows (prompt engineering and inference pipelines), and working with TextQL and Cube.dev as part of the data/semantic layer used by applications.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 3 years and Maximum 5 years
Role overview
Why This Role Matters.
Contract role in Pune for a 3–5 years engineer who can integrate and deploy AI/ML models into production systems. The focus is on hands-on model integration/deployment, building LLM workflows (prompt engineering and inference pipelines), and working with TextQL and Cube.dev as part of the data/semantic layer used by applications.
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.
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Experience with LLM workflows, prompt engineering, or AI inference pipelines
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3–5 years overall engineering experience
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
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AI/ML
Required
02
model integration
Required
03
model deployment
Required
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LLM
Required
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large language models
Required
06
prompt engineering
Required
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inference pipeline
Required
08
TextQL
Required
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Cube.dev
Required
10
Cube
Required
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semantic layer
Required
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analytics API
Required
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 model integration
AI/ML model deployment (production)
LLM workflows
Prompt engineering
AI inference pipelines
TextQL
Cube.dev
3–5 years software/engineering experience
Preferred
Nice to Have
There are no additional preferred qualifications for this position. If you meet the essential requirements, we encourage you to apply.
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
Apply for AI/ML Integration & Deployment Engineer (LLM Workflows, TextQL, Cube.dev)
One page, about two minutes. We only ask for what we actually need to have a first conversation.