Sr Associate Software Engineer, AI Studio (Full Stack)
On-siteHyderabad, Telangana, India
Job Summary
Define component boundaries with product, UX, and engineering partners to clarify acceptance criteria and user outcomes. Design and implement accessible UI components using TypeScript frameworks, then build APIs, services, and data models with Python, Node.js, or Java. Integrate approved model inference, LLMs, RAG, and agent tools with input validation and human control. Implement layered unit, integration, and AI-evaluation tests while using cloud services, CI/CD, and infrastructure as code. Monitor indicators for availability, latency, and AI quality, applying identity, OWASP, and GxP controls. Coordinate with adjacent teams to ensure components are secure, accessible, and production-ready.
Required Qualifications
- Bachelor's/Master's degree
- 5 to 9 years of Computer Science, IT or related field experience
- Demonstrated ownership of at least one production frontend, backend, API, data, integration, automation or AI-enabled component
- Strong hands-on proficiency in JavaScript or TypeScript
- Strong hands-on proficiency in at least one backend language such as Python, Java, C# or Node.js
- Strong hands-on proficiency in SQL
- Ability to design, build, release, monitor, diagnose and maintain a defined production slice with limited guidance
- Independent ownership
- Sound technical judgment
- Disciplined production follow-through
- Strong analytical and troubleshooting skills across frontend, API, data, integration and AI layers
- Clear communication of design decisions, estimates, evidence, trade-offs, risks and support implications
- Effective collaboration with product, UX, business, architecture, ML, platform, security, quality and operations teams
- Ability to guide junior engineers and improve reusable engineering practices
Desired Qualifications
- Advanced frontend engineering: Experience with Next.js rendering patterns, reusable design systems, browser telemetry, frontend performance, complex data-intensive interfaces or accessible human-AI review workflows
- Distributed services and integration: Experience with GraphQL, WebSocket, Kafka or other event platforms, durable workflows, outbox or saga patterns, stream processing, API gateways, graph/vector stores or complex integrations
- AI and intelligent automation: Experience with scikit-learn, PyTorch, TensorFlow, Hugging Face, model-serving APIs, RAG evaluation, agent orchestration, document intelligence, computer vision, BI or automation
- Cloud and observability: Experience with AWS, Databricks, Kubernetes, serverless services, infrastructure as code, OpenTelemetry, Prometheus, Grafana, Splunk, CloudWatch or feature management
- Regulated delivery: Experience in healthcare, life sciences, GxP, validated systems or another regulated environment
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