Top Tech Jobs & Startup Jobs in Delhi

Gather and analyze stakeholder requirements and translate them into ServiceNow AI solutions (Virtual Agent, Predictive Intelligence, Now Assist). Collaborate with technical teams to implement AI-driven automation and agentic solutions, optimize workflows, monitor system performance, train users, and drive adoption while ensuring clear communication between business and technical stakeholders.

Design, develop, test, and maintain scalable Java/Spring Boot microservices and REST APIs. Participate across the SDLC in an Agile Scrum team, write unit/integration tests, perform code reviews, and support CI/CD release processes.

Lead OTM Cloud migrations and optimize OTM solutions for enterprise clients. Design scalable, secure OTM architectures, collaborate with functional and integration leads, guide technical teams on extensibility, data migration, and test automation, and run client workshops, roadmaps, and solution governance while mentoring junior staff and managing client relationships.

Lead user research and behaviour-led design for farmer-facing products and services. Translate insights into product improvements, collaborate with product, engineering, marketing and operations to drive onboarding and adoption, run pilots and scale initiatives, and maintain continuous learning loops.

Develop and maintain backend applications using Python and Django. Architect and implement microservices, migrate monolithic systems to microservices, build RESTful APIs, optimize performance and security, collaborate with DevOps/frontend/QA, and troubleshoot production issues.

Develop and publish Android applications using Java/Kotlin and Android SDK. Work with third-party libraries/APIs, follow mobile architectures and full development lifecycle. Must have Salesforce hands-on experience; experience with AI-enabled resource tracking or similar is a plus.

Deploy and productionize ML models on GCP Vertex AI for real-time and batch inference. Build scalable pipelines, perform feature engineering, monitor model performance and drift, support ML-Ops and governance, and collaborate with teams on retail banking (credit risk, marketing, customer service) use cases.

Lead development of GenAI and LLM-powered applications using Python, LangChain/LangGraph and FastAPI. Design scalable cloud-ready microservices, integrate LLMs (AWS Bedrock/OpenAI), implement prompt engineering, and build interactive frontends with Angular/JavaScript. Ensure AWS-based deployment and database integration (SQL/NoSQL).

Develop, maintain, and support cloud-based integration solutions using C# and .NET. Build and consume RESTful APIs, create serverless applications with Azure Functions, troubleshoot production issues during night shift, and collaborate with global teams on scalable, secure integration workflows.

Lead design and delivery of NLP and Generative AI solutions, from problem definition through deployment. Build and fine-tune transformers and LLMs for summarization, QA, classification and chatbots, apply classical and deep learning methods, ensure scalable reproducible ML workflows in cloud environments, mentor junior data scientists, and collaborate with product and engineering to translate business problems into AI solutions.