Bengaluru, India · Full time · Posted Nov 14, 2026
100ms builds AI agents that automate patient access in US healthcare: benefits verification, prior authorization and referral intake for specialty pharmacies.
We're hiring a Recruiter to own hiring end to end for our 140+ person Bengaluru team as we grow past 200.
What you'll do
Run end-to-end hiring for Tech roles (engineering, product, AI) and Operations batches
Source directly through LinkedIn, referrals and communities, and map target companies for hard-to-fill roles
Screen resumes and run first-round phone screens
Schedule interviews across India and US time zones, making the most of hiring managers' limited time
Manage recruitment agencies: brief them, review their profiles and follow up on no-shows
Discuss pay and close offers within the band
Stay in touch with candidates through their notice period and handle counter-offers, so accepted offers turn into joiners
Keep Lever clean and report weekly on pipeline, time to fill and drop-offs
You'll be a good fit if you
Have 2-3 years in recruitment, ideally at a startup or product company
Have hired for tech roles and for volume roles
Are a strong sourcer on LinkedIn and comfortable with outreach
Are organised and quick to follow up, with clear written and spoken English
Have used an ATS (Lever is a plus) and AI tools for sourcing or screening
What success looks like
Roles closed on time with good candidates, few no-shows, and offers that turn into joiners.
Ovii Interpretation
This Recruiter will manage full-cycle hiring for technology positions and operations hiring batches at 100ms’s Bengaluru team. The role combines direct sourcing and candidate assessment with interview logistics, agency coordination, offer closing, and recruiting pipeline reporting.
Run hiring from sourcing through offer acceptance for engineering, product, AI, and operations roles.
Find candidates through LinkedIn, referrals, and communities, and map companies for hard-to-fill positions.
Review applications and conduct initial phone screens.
Coordinate interviews across India and US time zones while accommodating hiring manager availability.
Brief and manage recruiting agencies, assess submitted candidates, and follow up on missed interviews.
Discuss compensation within approved bands and guide candidates through offer decisions and counter-offers.
Maintain accurate Lever records and report on pipeline health, time to fill, and candidate drop-offs.
Good fit signals
Has 2–3 years of recruiting experience; startup or product-company experience is beneficial.
Has recruited for technology roles as well as volume hiring.
Can source actively on LinkedIn and is comfortable reaching out to candidates.
Brings organized follow-through and clear written and spoken English.
Has used an ATS and AI tools for sourcing or screening; Lever experience is a plus.
Meet 100ms AI
100ms AI builds voice-first AI agents for healthcare operations, with a focus on reducing administrative work and delays in patient access. Its agents automate workflows such as patient intake, scheduling, benefits verification, prior authorization, triaging and telehealth coordination, including workflows for specialty practices and patient-support programs. The company emphasizes healthcare-grade safety, human escalation, HIPAA compliance and natural low-latency conversations. 100ms originally built real-time audio and video infrastructure and says its platform has powered more than a billion minutes of conversations; it began its healthcare AI focus in 2024.
Founded
2020
Company size
51-200 employees
Company stage
Series A
Headquarters
San Francisco, USA
Why work here
100ms offers candidates the opportunity to work on healthcare AI agents handling complex, real-world patient access workflows such as benefits verification, prior authorization and intake. The company is backed by investors including Accel, Alpha Wave, Z47, LocalGlobe and STRIVE and has raised $24.5 million. Its founding team has experience building large-scale real-time infrastructure at Meta and Disney+ Hotstar, while current engineering roles involve LLM agents, evaluation systems, Python services and modern web development. 100ms also participated in the Mayo Clinic Platform Accelerate program in 2026. Candidates should note that many current Bengaluru engineering and product roles emphasize regular in-office work.
Co-founder and CEO of 100ms. Gupta previously worked on large-scale real-time video infrastructure at Meta and served as VP of Engineering at Disney+ Hotstar. He studied at Madan Mohan Malaviya University of Technology and now applies his experience in scalable, low-latency communications to AI agents for healthcare and patient access.
Co-founder and COO of 100ms. Behera previously held product leadership roles at Hotstar and co-founded Gozoomo. He is an IIT Bombay alumnus and leads operating and product efforts as 100ms expands from real-time communications infrastructure into healthcare AI and patient-access automation.
Co-founder and CTO of 100ms. Dwivedi previously worked at Hotstar, where he helped build its in-house video processing platform, and earlier worked in software engineering roles. He studied Information Technology at Motilal Nehru National Institute of Technology and brings deep experience in scalable media and infrastructure engineering.
100ms selected for Mayo Clinic Platform Accelerate cohort
Mayo Clinic Platform
Mayo Clinic Platform included 100ms in its February 2026 Accelerate cohort, describing the company as building AI agents for patient access across intake, benefits verification, prior authorization, triaging and scheduling for specialty practices.
100ms showcases AI agents across the patient access workflow at Hub West 2026
LinkedIn
100ms presented agents spanning patient intake through fulfillment at Hub & Specialty Pharmacy Models West 2026, including sessions focused on the safety and quality of AI-powered patient and payer calls.
100ms introduces its AI Case Manager for hub operations
LinkedIn
At Asembia's AXS26 Summit, 100ms highlighted its AI Case Manager for healthcare hub operations, including automated enrollment processing, benefits verification and monitoring of calls for adverse events and product quality complaints.