SDE II - AI

Ovii's Interpretation of the Role

The SDE II – AI will design and ship AI‑first backend services that power LLM‑driven products for InMobi’s advertising platform. You’ll own end‑to‑end AI pipelines, integrate with cloud and vector‑search infrastructure, and partner with product and business teams to deliver scalable, secure solutions.

Role Snapshot

• Build LLM‑powered backend services
• Design AI/ML pipelines and prompt workflows
• Develop REST APIs and microservices for production AI
• Collaborate across product, data, and business stakeholders
• Mentor teammates on emerging generative‑AI tech
• Ensure compliance, security, and cost‑efficiency of AI solutions

Must-Have Requirements

• Python
• SQL
• TensorFlow / PyTorch
• LLM application development (prompt engineering, RAG, vector search, fine‑tuning)
• Agentic AI frameworks (LangGraph, CrewAI, n8n, ReAct)
• REST API development
• Microservices
• Model Context Protocol (MCP)
• Docker
• CI/CD
• Cloud platforms (Azure, GCP, AWS)
• software development
• AI/ML engineering
• LLM application development
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related engineering discipline

Nice-to-Have Signals

• Online advertising domain experience
• Large‑scale data systems experience
• Big Data analytics experience
• Enterprise applications (Salesforce, MS Dynamics) experience
• online advertising domain
• large‑scale data systems

Work Setup

• Location: Bangalore

Not Specified in JD

• Salary range
• Remote eligibility
• Visa sponsorship
• Notice period
• Coding test

What You'll Likely Work On

• Design and implement LLM‑driven applications, chatbots, copilots, and multi‑agent workflows
• Create and maintain prompt templates, retrieval‑augmented generation pipelines, and vector‑search components
• Build production‑grade backend services and REST APIs that serve AI models at scale
• Integrate AI solutions with cloud platforms and ensure compliance, security, and cost efficiency
• Monitor model performance, optimize inference latency and reliability, and manage operational health
• Participate in architecture reviews, sprint planning, and cross‑functional technical decision‑making
• Mentor the team on emerging generative‑AI frameworks and best practices

Good Fit If You Have

• Passion for staying current with cutting‑edge generative‑AI research
• Strong analytical and problem‑solving skills in fast‑paced agile environments
• Excellent communication with both technical and business audiences
• Ability to work independently while contributing to team goals
• Experience in large‑scale data or advertising domains is a plus