01
TRCD-26-06635
Senior AI Engineer
This senior/lead role owns the design, development, deployment, and ongoing improvement of production LLM applications and enterprise RAG pipelines, including their APIs and user interfaces. The key requirements are strong Python and FastAPI skills, Angular or Next.js with TypeScript, LangChain, LangGraph, LangSmith, RAG and vector-search expertise, and production MLOps experience. The position also calls for sound application architecture, testing and security practices, Docker and Kubernetes, and the ability to lead technical decisions and mentor engineers. The description asks for 7–10 years in software or data engineering, including 3–4 years in AI/ML and LLM solutions; prompt evaluation, fine-tuning, and specific model-provider experience are value-added. The role is in Bengaluru and is a contract engagement; the work mode is not specified. No product or industry domain is identified, and the description lists a relevant bachelor's or master's degree as an expectation.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 7 years and Maximum 10 years
Role overview
Why This Role Matters.
This senior/lead role owns the design, development, deployment, and ongoing improvement of production LLM applications and enterprise RAG pipelines, including their APIs and user interfaces. The key requirements are strong Python and FastAPI skills, Angular or Next.js with TypeScript, LangChain, LangGraph, LangSmith, RAG and vector-search expertise, and production MLOps experience. The position also calls for sound application architecture, testing and security practices, Docker and Kubernetes, and the ability to lead technical decisions and mentor engineers. The description asks for 7–10 years in software or data engineering, including 3–4 years in AI/ML and LLM solutions; prompt evaluation, fine-tuning, and specific model-provider experience are value-added. The role is in Bengaluru and is a contract engagement; the work mode is not specified. No product or industry domain is identified, and the description lists a relevant bachelor's or master's degree as an expectation.
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
Proven ability to lead AI architecture decisions and mentor engineering teams
03
Solid full-stack software engineering background with hands-on experience in FastAPI and Angular or Next.js
04
Strong command of MLOps practices and production-grade ML deployment
05
Ability to build scalable, maintainable web applications from MVP to production — with clean architecture from day one
06
Excellent stakeholder communication and cross-functional collaboration skills
07
Autonomous, analytical mindset with a passion for cutting-edge AI technologies
08
Lead the design and development of LLM-based applications using modern AI frameworks
09
Architect and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases
10
Develop and orchestrate AI agents and workflows using LangChain and LangGraph
11
Monitor, trace, and evaluate model performance using LangSmith
12
Implement and manage vector embeddings and vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS)
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
FastAPI
Required
03
REST API
Required
04
async Python
Required
05
OpenAPI
Required
06
Angular
Required
07
Next.js
Required
08
TypeScript
Required
09
LangChain
Required
10
LangGraph
Required
11
LangSmith
Required
12
LLM
Required
13
RAG
Required
14
vector embeddings
Required
15
Pinecone
Required
16
Weaviate
Required
17
ChromaDB
Required
18
FAISS
Required
19
Milvus
Required
20
hybrid search
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
Python and clean software engineering practices, including SOLID and Git
FastAPI and production REST APIs, including async endpoints, dependency injection, middleware, and OpenAPI
Angular or Next.js frontend development with TypeScript
Scalable, modular application architecture and separation of concerns
REST API design, versioning, authentication, and API security
Unit and integration testing, including pytest, Jest, or equivalent
LLM application development with LangChain, LangGraph, and LangSmith
LLM fundamentals and end-to-end RAG pipeline design
Embeddings, vector databases, chunking, retrieval optimization, re-ranking, and hybrid search
MLOps, including model versioning, ML CI/CD, monitoring, and retraining pipelines
MLflow, DVC, Kubeflow, or comparable MLOps tooling
Docker and Kubernetes
Production model performance monitoring and drift detection
Technical leadership, mentoring, and cross-functional stakeholder communication
Preferred
Nice to Have
Prompt engineering and production prompt optimization
RAGAS, TruLens, or DeepEval
PEFT fine-tuning methods such as LoRA and QLoRA
Integrations with OpenAI, Anthropic, Mistral, LLaMA, Falcon, or other LLMs
Data ingestion and preprocessing pipelines
AI governance, responsible AI, data privacy, and prompt-injection awareness
AI observability, logging, and alerting at scale
UI/UX awareness for AI-powered chat, dashboards, and document viewers
Agile or Scrum delivery and MVP scoping
French language
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 Senior AI Engineer
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