Senior Software Engineer/AI Engineer

Senior Software Engineer/AI Engineer: Build production AI systems that solve real insurance and enterprise problems Experience: 5–7 years Role orientation: Senior hands-on individual contributor Primary focus: End-to-end delivery of production AI solutions Qualifications, work experience: Solution design. Work with product and business teams to convert a business workflow, decision or pain point into a practical AI solution and measurable acceptance criteria. End-to-end engineering. Build complete small solutions, including the AI layer, backend services, data stores, APIs and a functional web interface where required. AI workflow orchestration. Design reliable multi-step workflows involving foundation models, retrieval, machine-learning models, rules, external tools and human approvals. Integration. Connect AI services with customer applications and enterprise systems using secure APIs, events or queues. Production readiness. Implement testing, deployment, monitoring, fallback behaviour, audit logging and operational support for live customer use. Performance and economics. Monitor latency, throughput, model usage and infrastructure cost; improve model selection, caching, batching and execution patterns. Trust and control. Build explainability, confidence handling, human-in-the-loop review and traceable decision evidence into the workflow. Technical leadership. Review the work of junior engineers, establish sound engineering patterns and make day-to-day technical decisions within the workstream. Customer demonstrations. Demonstrate working solutions and answer technical questions clearly for customer stakeholders. 5–7 years of software engineering, data/ML engineering or applied AI experience, including recent hands-on AI delivery. Evidence that you personally built and deployed a live, multi-step AI workflow in a regulated or control-sensitive environment, integrated with business systems and supported by human review and an audit trail. Strong Python engineering skills and experience building production backend services and REST APIs using frameworks such as FastAPI, Flask or an equivalent. Hands-on experience using commercial foundation-model APIs, structured outputs, tool/function calling, prompt design and systematic evaluation. Practical experience with retrieval-augmented generation: document ingestion, chunking, embeddings, search/reranking, vector stores, citations and response-quality evaluation. Working knowledge of conventional machine-learning development, including data preparation, feature engineering, model evaluation and safe handling of uncertain predictions. Experience with SQL plus a non-relational or vector data store, with sound storage-design judgement. Ability to build a basic web interface using React, Streamlit or a comparable framework. Experience deploying containerised services on a major cloud platform using CI/CD, logging and monitoring. A production mindset covering security, failure handling, retries, observability, versioning and maintainability. Ability to work with limited or poorly labelled data and define realistic evaluation methods. Clear written and verbal communication, including the ability to explain design choices, trade-offs and limitations during customer demonstrations. Soft Skills : End-to-end ownership mindset Strong documentation and communication Comfortable with incident response and performance tuning Location : Bangalore Mode of work : Work from Office Apply for this position Full Name * Email * Phone * Cover Letter * Upload CV/Resume * Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *