SDE II - AI

Who are we and What do we do?

InMobi is a global provider of enterprise platform for marketers. Our platforms help Marketers reach 1.56 billion unique users through mobile to help them engage, acquire, re-engage, re-market and retain valuable users. InMobi is also India’s first unicorn and one of the only profitable global tech-product companies to emerge out of India.

 At 20+ offices across the globe, InMobi employs over 1000 personnel constituting 25 nationalities. Acclaimed for its culture, InMobi has consecutively featured on the Great Places to Work (GPTW) list, with a consistent hold in the Top 50 position for the past two years. Moreover, these accolades are not just restricted to India, InMobi has also secured a ranking on the GPTW’s 2017 China List, a notable feat for an Indian startup.

InMobi has also regularly featured on world disruptor lists – MIT Technology Review’s 2013 50 Disruptive Companies; Fast Company’s Most Innovative Companies for 2016, 2018; CNBC’s Disruptor 50 list of 2018, here InMobi was selected amongst a pool of more than 980 forward-thinking and ambitiou private companies across the globe, we now share this space with the likes of SpaceX, Airbnb, Uber and so on.

What is the InMobi family like?  

We are an infectious bunch. Be it the way we rise to challenges, the innovative products we create, the dreams we chase or the fun we have at work. We are sure that if you meet us, you will be infected too. Today, we are proud to be the leaders in Mobile advertising and are on an accelerated path of being a leader in enterprise software for marketers. We invite you to free yourself, dream big and chase your passion. We are here today because a few of us did just that.

What can we promise?  

We offer you an opportunity to work on building enterprise platforms that require you to acquire, hone and demonstrate your engineering skills in designing and solving for complex problems, thereby creating software that creates value for our customers in a reliable, scalable, secure, and AI-first manner. At InMobi, you get to work on innovative technologies, work closely with business teams and grow as an overall technology leader.

Modern work environment, flexible schedule, and smart, creative, down-to-earth people. Internal opportunities to move roles and try out bridge assignments with different teams.  Food for your soul – free meals all days of the week, gym, or Yoga class to flex those biceps, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

What is the team like?

We are the CDR-AI team at InMobi, focused on building a next-generation Reporting, Analytics, and AI platform. Our mission is to transform raw data into actionable business insights for internal consumers while enabling seamless integration with multiple business and technology platforms.

As a platform team, we work closely with different lines of business across InMobi to understand their reporting, analytics, automation, and AI-driven decisioning needs. This gives the team a unique opportunity to solve high-impact business problems while working on large-scale data, analytics, and GenAI systems.

In addition to reporting and analytics, the team is expanding into AI engineering areas such as Generative AI, LLMs, RAG, Agentic AI, and MCP-based integrations. We also work across cloud and AI platforms including GCP, Microsoft Azure, databases, GKE, REST APIs, and modern deployment frameworks. Microsoft positions Azure AI as an enterprise-grade platform for building AI apps and agents, which aligns with the team’s direction toward scalable AI-led platform capabilities. 

Key technology areas:
AI/ML Engineering, Generative AI, LLMs, RAG, Agentic AI, MCP, Python, REST API Development, Spark, Java/J2EE, Airflow, Databricks, GKE, GCP, Microsoft Azure, Databases, Caching, Big Data Analytics.

What will you be doing?

• Act as an independent senior engineer, owning complex problem statements and delivering scalable, reliable solutions aligned with business goals.
• Stay current with emerging technologies such as Agentic AI, Generative AI, and Copilot Studio, while mentoring the team on adoption and best practices.
• Collaborate with product, business, data, and engineering stakeholders, and communicate technical concepts clearly to both technical and non-technical audiences.
• Participate actively in architecture discussions, design reviews, sprint planning, and technical decision-making.

What do we expect from you?  

• Design and build LLM-powered applications, chatbots, copilots, and multi-agent workflows
• Implement GenAI solutions using frameworks such as LangChain, LangGraph, CrewAI, n8n, or similar.
• Build and maintain prompt templates, chains, agents, tools, and reusable AI workflows.
• Integrate vector databases for semantic search, contextual retrieval, RAG, and memory.
• Develop backend services, REST APIs, and integrations to run AI models in production.
• Ensure AI solutions are explainable, accurate, compliant, secure, and aligned with finance policies.
• Monitor and evaluate model and workflow performance on an ongoing basis.
• Optimize inference cost, latency, reliability, and overall system efficiency.
• Collaborate with Product, Data, Business, Sales, Finance, and Engineering teams to deliver end-to-end AI solutions.
• Stay updated on emerging GenAI, AI/ML, agentic AI, and automation technologies.
• Participate in design reviews, sprint planning, technical discussions, and architecture reviews.

Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related engineering discipline.
• 3–5 years of software development experience with hands-on expertise in Python, SQL, TensorFlow/PyTorch, and modern AI/ML frameworks.
• Experience designing and building LLM-powered applications, including prompt engineering, Retrieval-Augmented Generation, vector search, and fine-tuning pipelines.
• Hands-on experience with agentic AI frameworks such as LangGraph, AutoGen, CrewAI, n8n, or ReAct-style agents. LangGraph is designed for customizable single-agent, multi-agent, and human-in-the-loop workflows.  
• Strong experience building REST APIs, microservices, and backend systems for production-grade applications.
• Experience with Model Context Protocol (MCP), including building or integrating MCP tools, servers, or capabilities. MCP enables servers to expose tools that language models can invoke to interact with external systems such as APIs, databases, and computation services.  
• Good understanding of CI/CD, Docker, and containerized application development. Docker provides a standard way to package and run applications in lightweight containers with their dependencies.  
• Working knowledge of data pipelines, APIs, databases, and cloud platforms such as Azure, GCP, or AWS.
• Strong problem-solving, analytical, and debugging skills, with the ability to work effectively in agile engineering environments.
• Excellent communication skills, with the ability to collaborate with both technical and business stakeholders.

 Nice to have skills

• Experience of online advertising domain
• Experience of working on massively large-scale data systems in production environments
• Experience of Big Data analytics domain
• Experience of building AI products that are powered by data and insights
• Worked with Enterprise Applications like SaleForce, MS dynamics

The SDE II - AI builds and deploys AI-powered applications and platform services, including LLM workflows, retrieval, and agent integrations. The role combines backend engineering with production-focused AI, collaborating across product, data, business, and engineering teams.

Role at a glance

Skills mentioned

What you will likely work on

• Design and implement LLM applications, chatbots, copilots, and multi-agent workflows.
• Create reusable prompts, chains, agents, tools, and AI workflow components.
• Connect vector databases and retrieval systems to support semantic search, RAG, and memory.
• Build backend services, APIs, and integrations that operate AI models in production.
• Apply safeguards for explainability, accuracy, security, compliance, and finance-policy alignment.
• Evaluate and monitor AI workflows; improve inference cost, latency, reliability, and efficiency.
• Work with product, data, business, sales, finance, and engineering partners to deliver end-to-end solutions.
• Contribute to architecture and design reviews, sprint planning, technical decisions, and team knowledge-sharing.

Good fit signals

• Has 3–5 years of software development experience and hands-on strength in Python, SQL, and TensorFlow or PyTorch.
• Has built LLM applications involving prompt engineering, RAG, vector search, or fine-tuning.
• Can develop production backend services and REST APIs, and has experience with agentic AI frameworks and MCP.
• Brings working knowledge of CI/CD, Docker, data pipelines, databases, and at least one listed cloud platform.
• Communicates technical ideas across technical and business groups; experience in advertising or large-scale data systems is a plus.