Senior Manager
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Key skills for this role
About the Role
Development and production-scale delivery of Solutions & Platform components Hand-On with new age technologies-programming-tooling e.g. Context Engineering, Knowledge Graphs, Loop Engineering, and Agents Harness Experience of SDKs-DevSecOps Pipelines-Code Repositories Knowledge of Cloud & Multi-Modal Systems Implementation of Enterprise design principles and considerations such as Responsible & Secure AI, Observability, LLM Ops, AI Runtime, and Token Economics Aligned to Agentic AI Technical Architecture practices and standards
Key Skills for This Role
Full Job Posting
Responsibilities
- Speed of delivery: consistent idea-to-prototype turnaround in days and prototype-to-production in weeks.
- Volume and quality of shipped work: applications, demos, and accelerators that are actually used by stakeholders and internal teams.
- Reliability of what ships: low defect rates, sensible test/eval coverage, and predictable cost/latency behavior.
- Contribution to reuse: components, patterns, and utilities adopted by other engineers.
- Team velocity uplift through shared AI-assisted development practices.
- Speed of delivery: consistent idea-to-prototype turnaround in days and prototype-to-production in weeks. Volume and quality of shipped work: applications, demos, and accelerators that are actually used by stakeholders and internal teams. Reliability of what ships: low defect rates, sensible test/eval coverage, and predictable cost/latency behavior. Contribution to reuse: components, patterns, and utilities adopted by other engineers. Team velocity uplift through shared AI-assisted development practices.
Qualifications
- 4–8 years of software engineering experience, with 1–2+ years building GenAI/LLM applications hands-on.
- A portfolio of shipped AI work – products, prototypes, GitHub projects, or demos you can walk us through.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
- Demonstrated fluency with AI-native development tools (Cursor, Claude Code, Replit, AI Studio) in real projects – not just experimentation.
- Strong problem-solving skills and product sense – you care about whether the thing you built actually gets used.
- Clear written and verbal communication; comfortable demoing your work to technical and business audiences.
- 4–8 years of software engineering experience, with 1–2+ years building GenAI/LLM applications hands-on. A portfolio of shipped AI work – products, prototypes, GitHub projects, or demos you can walk us through. Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). Demonstrated fluency with AI-native development tools (Cursor, Claude Code, Replit, AI Studio) in real projects – not just experimentation. Strong problem-solving skills and product sense – you care about whether the thing you built actually gets used. Clear written and verbal communication; comfortable demoing your work to technical and business audiences.
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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