01
TRCD-26-06634
AI Engineer
This is a senior/lead AI Engineer contract role focused on building enterprise LLM applications and production-ready RAG solutions, with ownership across AI services, APIs, and user interfaces. The core requirements include Python, FastAPI, Angular or Next.js, TypeScript, LangChain, LangGraph, LangSmith, RAG and vector search, plus production MLOps and container orchestration. The role also expects sound application architecture, testing and API security practices, and the ability to guide engineers and communicate with business and technical stakeholders. The structured experience band of 5–7 years aligns with the description, which further specifies 3–4 years in AI/ML or LLM solutions and senior/lead-level ownership. The position is in Bengaluru and is contract; work mode is not specified. Evaluation frameworks, prompt engineering, fine-tuning, LLM provider integrations, and data ingestion experience are value-added rather than core requirements.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 7 years
Role overview
Why This Role Matters.
This is a senior/lead AI Engineer contract role focused on building enterprise LLM applications and production-ready RAG solutions, with ownership across AI services, APIs, and user interfaces. The core requirements include Python, FastAPI, Angular or Next.js, TypeScript, LangChain, LangGraph, LangSmith, RAG and vector search, plus production MLOps and container orchestration. The role also expects sound application architecture, testing and API security practices, and the ability to guide engineers and communicate with business and technical stakeholders. The structured experience band of 5–7 years aligns with the description, which further specifies 3–4 years in AI/ML or LLM solutions and senior/lead-level ownership. The position is in Bengaluru and is contract; work mode is not specified. Evaluation frameworks, prompt engineering, fine-tuning, LLM provider integrations, and data ingestion experience are value-added rather than core requirements.
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 endpoints
Required
05
OpenAPI
Required
06
Angular
Required
07
Next.js
Required
08
TypeScript
Required
09
RxJS
Required
10
LangChain
Required
11
LangGraph
Required
12
LangSmith
Required
13
LLM
Required
14
RAG
Required
15
vector embeddings
Required
16
Pinecone
Required
17
Weaviate
Required
18
ChromaDB
Required
19
FAISS
Required
20
Milvus
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 coding practices, including SOLID principles and Git
Production REST API development with FastAPI, including async endpoints, middleware, dependency injection, and OpenAPI
Frontend development with Angular or Next.js
TypeScript for type-safe development
Clean, scalable application architecture with modular design and separation of concerns
REST API design, versioning, authentication, and API security
Unit and integration testing, with pytest, Jest, or equivalent
LangChain for LLM application development
LangGraph for stateful, multi-step AI agent workflows
LangSmith for tracing, evaluation, and debugging LLM applications
LLM fundamentals and end-to-end RAG pipeline design and deployment
Embeddings, vector databases, chunking, retrieval optimization, reranking, and hybrid search
MLOps practices, including model versioning, ML CI/CD, monitoring, and retraining pipelines
Docker containerization and Kubernetes orchestration
Senior-level technical ownership, architecture leadership, and mentoring
Preferred
Nice to Have
Prompt engineering and production prompt optimization
RAG evaluation using RAGAS, TruLens, or DeepEval
PEFT fine-tuning techniques such as LoRA and QLoRA
Integration with OpenAI, Anthropic, Mistral, or open-source LLMs such as LLaMA and Falcon
Data ingestion and preprocessing pipelines
AI security and governance, including prompt-injection awareness, data privacy, and responsible AI
AI observability, logging, and alerting at scale
UI/UX awareness for AI chat, dashboards, and document viewers
Agile or Scrum delivery and incremental MVP scoping
French language skills
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 Engineer
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