About this role

Key Responsibilities

1. Rapid Prototyping & Application Development

  • Build AI applications, copilots, and agentic workflows end-to-end – UI, APIs, business logic, and model integration.

  • Use rapid development tools (Cursor, Claude Code, Replit, Google AI Studio) to compress build cycles and iterate quickly with users and stakeholders.

  • Turn loosely-defined requirements into working demos and prototypes within days, then refine based on feedback.

2. Agentic & GenAI Engineering

  • Develop with agentic SDKs and frameworks – OpenAI Agents SDK, Anthropic Claude (Agent SDK / API), Google Gemini & ADK, LangChain/LangGraph.

  • Implement RAG pipelines, tool/function calling, structured outputs, and prompt engineering with systematic testing and evals.

  • Integrate models and agents with enterprise data sources and APIs, handling auth, rate limits, and error paths properly.

3. Engineering Quality & Productionization

  • Write clean, testable, well-documented code; use Git, containers, and CI/CD as standard practice.

  • Partner with Forward Deployment Engineers and platform teams to take successful prototypes into production, adding monitoring, guardrails, and cost controls.

  • Balance speed and quality pragmatically – knowing when to hack and when to harden.

4. Collaboration & Continuous Learning

  • Work closely with architects, data scientists, and designers; contribute to demos, accelerators, and internal hackathons.

  • Stay current with the fast-moving model and tooling landscape, and share learnings across the team.

  • Evangelize AI-assisted development practices that raise the whole team’s velocity.

Technical Skills & Tooling (Hands-On)
  • Rapid development tools as daily drivers: Cursor, Claude Code, Replit, Google AI Studio, GitHub Copilot – demonstrated ability to ship real software with AI-assisted workflows.

  • Agentic SDKs & frameworks: hands-on experience with OpenAI Agents SDK, Anthropic Claude APIs/Agent SDK, Google Gemini/ADK, and LangChain or LangGraph.

  • Strong programming skills in Python and/or TypeScript/JavaScript; comfort building full-stack prototypes (React/Node) and REST APIs.

  • LLM application patterns: prompt engineering, function/tool calling, structured outputs, RAG with vector stores (pgvector, Pinecone, FAISS, or similar).

  • Testing & observability basics: writing evals, using tracing tools (LangSmith, Langfuse, or similar), and monitoring cost/latency/quality.

  • Engineering foundations: Git, Docker, CI/CD, and at least one cloud (AWS/Azure/GCP).

  • Good to have: voice/multimodal experience (ElevenLabs, HeyGen), MCP-based tool integration, fine-tuning or open-source LLM experience.

  • 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.

  • 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.

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

Frequently Asked Questions

Is the salary disclosed for the Senior Manager position at EXL Talent Acquisition Team?
The salary for this Senior Manager role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Manager position at EXL Talent Acquisition Team located?
This Senior Manager role at EXL Talent Acquisition Team is based in Noida, Uttar Pradesh, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Senior Manager position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Senior Manager job at EXL Talent Acquisition Team posted?
This Senior Manager position at EXL Talent Acquisition Team was posted on Aug 7, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Manager
EXL Talent Acquisition Team
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