Gen AI Engineer (SJ-IQ)

SE Mentor Solutions; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

SE Mentor Solutions in Bengaluru is seeking a senior AI-focused full-stack engineer to lead the design and delivery of production-grade AI-powered applications. You will work across LLMs, RAG, and agentic AI to build scalable solutions in Python, TypeScript, and Azure cloud services.

The role requires 6+ years of experience, strong knowledge of AI platforms, and the ability to architect end-to-end systems, including AI agents, vector databases, and MLOps pipelines.

Qualifications

• 6+ years of experience building production-grade full-stack applications and cloud-native services.
• Design and deliver end-to-end AI solutions using LLMs, RAG, and agentic AI frameworks.
• Experience with Python, TypeScript, REST APIs, and Azure cloud services.

Responsibilities

• Architect and operationalize LLMOps/MLOps pipelines including model deployment, evaluation, and monitoring.
• Develop scalable AI applications across Azure, Databricks, and AKS/Kubernetes.
• Drive AI-powered user experiences by integrating speech, image, and video generation capabilities.

Skills

Python

TypeScript

REST APIs

AI/LLM

Cloud-native

Tools

GPT-4o

Databricks

AKS

Azure OpenAI

GitHub Copilot

Job description

6+ years of experience building and delivering production-grade full-stack applications, AI products, and cloud-native services.

Design and develop end-to-end AI solutions using LLMs, RAG, agentic AI frameworks, and multimodal foundation models for text, audio, image, and video generation.

Build scalable AI applications using Python, TypeScript, REST APIs, microservices, and Azure cloud services.

Architect and optimize conversational AI, Digital AI Agents (DAX), GitHub + copilots, and task automation workflows leveraging Azure OpenAI and modern AI platforms.

Implement Vector Database and semantic retrieval solutions to power enterprise knowledge search, reasoning, and grounding capabilities.

Develop and operationalize LLMOps/MLOps pipelines including model deployment, evaluation, observability, prompt management, guardrails, and continuous monitoring.

Integrate speech-to-text, text-to-speech, audio intelligence, image generation, and video generation capabilities into AI-powered user experiences8 using LLM Models & API calls (Gemini, GPT 5 and higher, DALL-E-3.0) .

Build and deploy scalable workloads on Azure, Databricks, AKS/Kubernetes, Azure Data Lake Gen2, and event-driven architectures.

Establish CI/CD, automated testing, security, and governance standards for AI applications using GitHub and Azure DevOps.

Drive adoption of AI-assisted development, coding agents, and autonomous research systems across teams.

Key Technologies

• GPT-4o / DAX Models
• RAG
• Agentic AI
• Vector DBs
• Databricks
• Python
• AKS
• Azure AI Speech
• Image/Video/Audio Generation APIs
• GitHub Copilot
• Azure DevOps
• LLMOps