6 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Own complex engineering problems and deliver scalable, reliable solutions aligned with business goals.
- Design and build LLM-powered applications, chatbots, copilots, multi-agent workflows, prompt templates, chains, agents, tools, and reusable AI workflows.
- Implement generative AI solutions using frameworks such as LangChain, LangGraph, CrewAI, n8n, or similar tools.
- Integrate vector databases for semantic search, contextual retrieval, RAG, and memory.
- Develop backend services, REST APIs, microservices, and integrations for production AI systems.
- Build or integrate MCP tools, servers, and capabilities.
- Monitor and evaluate model and workflow performance while optimizing inference cost, latency, reliability, and efficiency.
- Collaborate with Product, Data, Business, Sales, Finance, and Engineering teams on end-to-end AI solutions.
- Participate in architecture discussions, design reviews, sprint planning, technical decision-making, and technical discussions.
- Mentor the team on adoption and best practices for emerging technologies such as agentic AI, generative AI, and Copilot Studio.
Requirements
- 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 or PyTorch, and modern AI/ML frameworks.
- Experience building LLM-powered applications involving prompt engineering, RAG, vector search, and fine-tuning pipelines.
- Hands-on experience with agentic AI frameworks such as LangGraph, AutoGen, CrewAI, n8n, or ReAct-style agents.
- Strong experience building REST APIs, microservices, and backend systems for production applications.
- Experience with Model Context Protocol, including building or integrating MCP tools, servers, or capabilities.
- Understanding of CI/CD, Docker, and containerized application development.
- Working knowledge of data pipelines, APIs, databases, and cloud platforms such as Azure, GCP, or AWS.
- Strong problem-solving, analytical, debugging, communication, and stakeholder collaboration skills.
- Preferred qualifications include online advertising experience, massively large-scale data systems experience, Big Data analytics experience, experience building data-powered AI products, and experience with Salesforce or Microsoft Dynamics.
Benefits
- Modern work environment and flexible schedule.
- Flexible opportunities to move roles and pursue bridge assignments across teams.
- Free meals throughout the week, gym or yoga classes, drink-cart Thursdays, and workplace social activities.
- Employees may bring children and pets to work.
- Continuous learning and career progression through the InMobi Live Your Potential program.
- Equal employment opportunity employer providing reasonable accommodations to qualified individuals with disabilities.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksDockerGoogle Cloud PlatformJavaPythonPyTorchReactSQLTensorFlow
Categories
About InMobi
InMobi builds a mobile advertising and consumer engagement platform for advertisers and publishers and operates Glance, a lock‑screen content and commerce service. It sells programmatic ad buying, monetization tools, and AI-driven personalization across apps, TVs, and the open web. Founded in 2007 and headquartered in Singapore, its ad network reaches over 2 billion people in 150+ countries and serves more than 30,000 brands.