01
TRCD-26-06687
Agentic Engineer
The Agentic Engineer will build AI agent solutions and help turn business use cases into scalable enterprise prototypes or production systems. The stated core requirements are agentic AI experience or strong interest, Python, Google Cloud Platform (GCP), AI agent frameworks, and exposure to LLMs, generative AI, RAG, automation, APIs, and enterprise integrations. The role also calls for architectural capability across scalable systems, databases, microservices, containers, and cloud-agnostic solutions; hands-on prototyping, rapid experimentation, and innovation are desirable. The requested experience band is 8–10 years, and the employment type is contract. The location is India; work mode is not specified, and no specific industry or product domain is stated.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 8 years and Maximum 10 years
Role overview
Why This Role Matters.
The Agentic Engineer will build AI agent solutions and help turn business use cases into scalable enterprise prototypes or production systems. The stated core requirements are agentic AI experience or strong interest, Python, Google Cloud Platform (GCP), AI agent frameworks, and exposure to LLMs, generative AI, RAG, automation, APIs, and enterprise integrations. The role also calls for architectural capability across scalable systems, databases, microservices, containers, and cloud-agnostic solutions; hands-on prototyping, rapid experimentation, and innovation are desirable. The requested experience band is 8–10 years, and the employment type is contract. The location is India; work mode is not specified, and no specific industry or product domain is stated.
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.
02
Experience or strong interest in AI Agent building / Agentic AI frameworks
03
Exposure to LLMs, GenAI, RAG, automation, APIs, and enterprise integrations.
04
Ability to convert business use cases into working AI prototypes or production solutions
05
Passion for innovation, problem-solving, and rapid experimentation.
06
solving complex business problems, experimenting with emerging AI technologies, and building scalable, production-ready AI solutions
07
Responsibility of / Expectations from the Role
08
Proficientin Artificial intelligence, Enterprise Solutions, and Data Center fundamentals.
09
Experience on creating highly scalable, available system catering all business stakeholder’s needs/concerns.
10
Should have good knowledge of Design patterns (structural, behavioral), architectural standards
11
Should have expertise in designing any highly scalable databasesystems (SQL/NoSQL)
12
Should have good knowledge of building and deploying Micro-services, container-based technologies (i.e. Docker, Kubernetes etc.)
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
GCP
Required
03
Google Cloud
Required
04
Vertex AI
Required
05
AI agents
Required
06
agentic AI
Required
07
AI agent frameworks
Required
08
LLM
Required
09
large language models
Required
10
GenAI
Required
11
generative AI
Required
12
RAG
Required
13
retrieval augmented generation
Required
14
automation
Required
15
APIs
Required
16
enterprise integration
Required
17
SQL
Required
18
NoSQL
Required
19
microservices
Required
20
Docker
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
Agentic AI and AI agent building experience or strong interest
Python
Google Cloud Platform (GCP)
AI agent frameworks
Exposure to LLMs, generative AI, and RAG
Automation, APIs, and enterprise integrations
Enterprise and application architecture, including scalable and highly available systems
SQL and NoSQL database design
Microservices and container technologies such as Docker and Kubernetes
Cloud-agnostic solution design
Preferred
Nice to Have
Strong hands-on Python development
Converting business use cases into working AI prototypes or production solutions
Innovation, problem-solving, and rapid experimentation
Design patterns and architectural standards
Business, data, application, and infrastructure modeling using UML, Visio, or ArchiMate
Data center fundamentals
Technology roadmap development and operational support
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 Agentic Engineer
One page, about two minutes. We only ask for what we actually need to have a first conversation.