Talent Acquisition Jobs in Chennai

Roles and Responsibilities

• Own the full-cycle hiring process from intake through offer acceptance for assigned requisitions.
• Develop and execute sourcing and outreach plans aligned to business needs and role profiles.
• Manage applicant tracking workflows to ensure timely movement of candidates through each stage.
• Partner with hiring managers to clarify job requirements, define success criteria, and refine search strategies.
• Maintain a consistent, positive candidate experience across scheduling, communication, and follow-up.
• Track recruiting metrics and provide updates on pipeline health, conversion rates, and time-to-fill.
• Build and sustain talent pipelines by leveraging proactive search and targeted market mapping.
• Coordinate interviews, screening schedules, and hiring steps while ensuring clean documentation.
• Collaborate internally to improve recruiting workflows, ensuring compliance with internal policies and processes.
• Contribute to continuous improvement of recruiting strategy based on performance insights and feedback.

Required Qualifications

• Experience owning end-to-end recruiting for multiple role types in a fast-paced environment.
• Proven experience managing and optimizing recruiting pipelines using an applicant tracking system.
• Demonstrated ability to create and execute sourcing strategies, including targeted outreach.
• Strong candidate relationship management skills with a focus on responsiveness and professionalism.
• Experience partnering with hiring managers to translate business requirements into effective screening criteria.
• Ability to manage multiple requisitions simultaneously while maintaining accuracy and timeliness.
• Strong communication skills across email, phone, and video interviews in a remote setting.
• Comfort working with recruiting metrics and providing clear reporting on progress and bottlenecks.
• Detail-oriented documentation practices to ensure accurate candidate records and audit-ready notes.
• Ability to operate independently, prioritize effectively, and meet deadlines consistently.

Key Responsibilities

• Coordinate requisition intake, confirm role requirements, and set hiring timelines with stakeholders.
• Design sourcing plans, run outreach campaigns, and build talent pools for current and future needs.
• Screen candidates against requirements, highlight match quality, and recommend next steps.
• Update candidate statuses, manage interview scheduling logistics, and maintain high data integrity in the ATS.
• Drive communication throughout the process, including candidate updates, feedback collection, and scheduling.
• Ensure candidates receive clear expectations, timely responses, and a respectful recruiting experience.
• Maintain recruiting reporting dashboards and provide regular status updates to hiring teams.
• Identify process improvements (workflow, templating, outreach messaging, or funnel strategy) based on results.
• Support offer coordination by aligning stakeholders, preparing candidates, and confirming acceptance details.
• Continuously evaluate sourcing channel performance and adjust strategy to improve conversion and speed.

We're hiring an AI Prompt & Agent Developer to own behavioral slice(s) of our voice agents. That behavior splits into two categories: behavior shared across every deployment, and behavior specific to a subset of deployments. You're someone who actually enjoys looking at the data, because the data informs everything else. You'll write prompts, design subagent architectures, build evals, and push automation rates up one small, measurable win at a time.

Responsibilities

• Write and maintain the prompts that run in production. Intent classification, information extraction, availability negotiation, closing phrases, insurance verification flows, objection handling, edge-case recovery. You own behavior that touches every customer call.
• Ship iteratively against real call data. Every morning, you'll listen to failed calls from yesterday. Every afternoon, you'll deploy a fix. You’ll be using and helping to develop dashboards, call review tooling, and automated agents to accelerate the work.
• Build evaluation harnesses. You'll develop offline eval sets, run automated prompt optimization (we use GEPA-style approaches), and establish the test suites that let us ship changes without breaking live deployments.
• Human-in-the-loop onboarding. New customers come online constantly. You'll work with and iterate on our internal AI agents that translate a practice's intake form, their scheduling rules, and their quirks into an agent configuration. Every week, you'll be designing new evaluation metrics for these customers and helping to improve existing ones.
• QA and continuous improvement. You'll simulate real-world customer scenarios, measure outcomes, and monitor production agent performance so you can catch drift early and fix it fast.

What we're looking for

• You've shipped prompts that broke production. Doesn't matter if it was at OpenAI, a chatbot startup, a research lab, or your own project. What matters is that you've felt the specific pain of a prompt that worked beautifully in dev and broke the second it hit real users.
• You're meticulous and careful. Looking at data for long stretches energizes you, as long as there's a signal. You stay organized when five things are in flight. We deploy multiple times a day, and we also run healthcare workflows where a bad change costs real money for real practices. You know the difference between moving fast and breaking things.
• Writing sensibility. The best prompt engineers are good writers. You notice register, rhythm, and word choice. You can tell why "Hello, cornerside dental? This is Ava, how can I help you out today? sounds warmer than "Hello, Cornerside Dental, this is Ava. How can I help you out today" out of a TTS.
• Analytical and empirical. You are relentlessly data-driven. Before you make changes, you proactively run experiments and measure. You don't ship because "I think this is better." You justify a change with "this moved booking rate from 78.2% to 81.4% on n=412 calls."
• Comfort with code. You don't need to be a senior engineer, but you should read Python fluently and TypeScript comfortably, and you can get almost any coding task done by pairing with modern AI coding tools.