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GenAI
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TRPD-26-05828
Gen AI Engineer
Hiring a Gen AI Engineer (6+ years) for a permanent role based in Hyderabad, supporting Financial Services use cases. The role is expected to build and integrate generative AI solutions (e.g., LLM-based applications) and work across model usage, prompt/agent patterns, and productionization considerations in a regulated domain.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
Hiring a Gen AI Engineer (6+ years) for a permanent role based in Hyderabad, supporting Financial Services use cases. The role is expected to build and integrate generative AI solutions (e.g., LLM-based applications) and work across model usage, prompt/agent patterns, and productionization considerations in a regulated domain.
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.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
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Generative AI
Required
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LLM
Required
04
Large Language Model
Required
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Prompt Engineering
Required
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RAG
Required
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Retrieval Augmented Generation
Required
08
Embeddings
Required
09
Vector Database
Required
10
LangChain
Required
11
LlamaIndex
Required
12
Azure OpenAI
Required
13
OpenAI
Required
14
AWS Bedrock
Required
15
Vertex AI
Required
16
LLMOps
Required
17
MLOps
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
Generative AI / LLM application development
Software engineering experience (6+ years)
Ability to build production-ready AI solutions
Understanding of LLM prompting and response handling
Experience working with stakeholders in an enterprise environment
Preferred
Nice to Have
Financial Services domain exposure
LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
RAG (Retrieval-Augmented Generation) patterns
Vector databases (e.g., Pinecone, Milvus, FAISS)
Cloud AI services (e.g., Azure OpenAI, AWS Bedrock, GCP Vertex AI)
MLOps/LLMOps practices (monitoring, evaluation, deployment)
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 Gen AI Engineer
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