Senior Software Engineer/AI Engineer

Role overview

Senior Software Engineer/AI Engineer at Inube Software Solutions

Required qualifications

• 5–7 years Role orientation: Senior hands-on individual contributor Primary focus: End-to-end delivery of production AI solutions Qualifications, work
• 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

Employment details

• 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.
• Location: Bangalore [India]

Benefits

• Senior Software Engineer/AI Engineer: Build production AI systems that solve real insurance and enterprise problems