TRPD-26-04483

Generative AI Backend Engineer (LLM/RAG/Agents)

Hire a 6+ years Generative AI Backend Engineer in Bengaluru to design, build, and deploy enterprise-grade GenAI applications using LLMs (GPT/Claude/open-source). The role focuses on building RAG pipelines (ingestion, chunking, embeddings, vector indexing, hybrid search), developing AI agents/multi-agent workflows (LangChain/LangGraph or similar), integrating tools via MCP/function calling/APIs, and delivering production-ready backend services (FastAPI and/or Spring Boot) on cloud (Azure/AWS/GCP) with Docker/Kubernetes and CI/CD. The engineer will also fine-tune open-source LLMs (LoRA/QLoRA/PEFT), implement LLM evaluation/observability (LangSmith/RAGAS/DeepEval/MLflow/Prometheus/Grafana), and optimize for latency, scalability, security, and reliability.

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Position summary

Location: India
Workplace: Hybrid
Employment: Full Time
Experience: Minimum 6 years and Maximum 10 years

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Role overview

Why This Role Matters.

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.

Design, develop, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs) such as GPT, Claude, and open-source models.

Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embedding generation, vector indexing, and hybrid search.

Develop AI Agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Microsoft Agent Framework, or similar orchestration platforms.

Integrate enterprise applications and external tools using Model Context Protocol (MCP), function calling, and API orchestration.

Fine-tune open-source LLMs using LoRA, QLoRA, PEFT, and Hugging Face Transformers to improve domain-specific performance.

Design scalable backend services and REST APIs using Python (FastAPI) and/or Java Spring Boot to support AI applications.

Deploy AI workloads on Azure, AWS, or GCP using Docker, Kubernetes, and CI/CD pipelines.

Build and maintain vector databases, semantic search, and hybrid retrieval systems using FAISS, Pinecone, Chroma, Weaviate, or Azure AI Search.

Implement LLM evaluation and monitoring using frameworks such as LangSmith, RAGAS, DeepEval, MLflow, and Prometheus/Grafana.

Collaborate with product managers, solution architects, data engineers, and domain experts to translate business requirements into AI-powered solutions.

Optimize AI applications for latency, scalability, security, and production reliability.

Stay current with advancements in Generative AI, Agentic AI, multimodal AI, and emerging LLM technologies, and evaluate their applicability to enterprise use cases.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

LLM

Required

GPT

Required

Claude

Required

OpenAI API

Required

Azure OpenAI

Required

Anthropic

Required

Hugging Face Transformers

Required

LangChain

Required

LangGraph

Required

Microsoft Agent Framework

Required

AI Agents

Required

Agentic AI

Required

RAG

Required

Retrieval-Augmented Generation

Required

embeddings

Required

semantic search

Required

hybrid search

Required

vector database

Required

FAISS

Required

Pinecone

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 application development with LLMs (GPT/Claude/open-source)

Retrieval-Augmented Generation (RAG) architectures and pipelines (ingestion, chunking, embeddings, vector indexing, hybrid search)

AI Agents / Agentic AI and orchestration (LangChain, LangGraph, or similar)

Prompt engineering and context engineering

Python and/or Java backend engineering

REST API development with FastAPI and/or Spring Boot

Vector databases / vector search (FAISS, Pinecone, Chroma, Weaviate, Azure AI Search)

Embeddings, semantic search, hybrid retrieval, retrieval optimization

Cloud deployment on Azure and/or AWS and/or GCP

Containerization and orchestration: Docker, Kubernetes

Source control and CI/CD (Git; GitHub Actions/Jenkins/Azure DevOps)

LLM evaluation/monitoring/observability (LangSmith, RAGAS, DeepEval, MLflow, Prometheus, Grafana)

Microservices and scalable system design

API security (OAuth2/JWT)

Fine-tuning open-source LLMs (LoRA, QLoRA, PEFT) and local inference deployment (vLLM or similar)

Preferred

Nice to Have

Event-driven architecture and messaging (Kafka or similar)

Experience with specific LLM platforms (OpenAI API, Azure OpenAI Service, Anthropic Claude API)

Experience mentoring junior engineers and contributing to reusable frameworks/coding standards

Experience with multimodal AI (mentioned as an area to stay current)

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 Generative AI Backend Engineer (LLM/RAG/Agents)

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