Forward Deployed Engineer at Cartesia

Cartesia is a San Francisco voice AI startup, best known for its Sonic text-to-speech models. It has hired a Forward Deployed Engineer in Bengaluru to deploy its voice models for enterprise customers. The India role asked for 4+ years of production engineering and was posted at ₹70–90 LPA plus equity, one of the highest posted FDE bands in India. Built In shows the Bengaluru listing was removed on 20 October 2026. Check Cartesia’s careers page for a reopened role before you apply.

Cartesia’s job pages say it has offices in San Francisco, London and Bangalore. The company was founded in 2023 by researchers from the Stanford AI Lab who worked on state space models (SSMs), the model architecture behind its products. Built In listed it at 33 employees. A May 2026 Cartesia listing for a Technical Lead Manager, Platform (India) said Cartesia was opening its first India office. So the FDE hire was part of building that Bengaluru team from scratch, which is why some boards call it a Founding Forward Deployed Engineer role.

What the FDE does at Cartesia

Voice agents are hard to deploy. Latency, telephony, accents and security reviews all decide whether a customer goes live. Cartesia’s FDE is the engineer who gets each customer there. The India listing describes the work as:

• Ship production code. Write and ship production-grade code for voice AI use cases, not just demos.
• Own deployments end to end. Run discovery, design the architecture and lead the rollout for each customer.
• Deploy anywhere. Set up Cartesia across public cloud, private VPC and on-prem environments, working within security, networking and compliance rules.
• Unblock customers. Find and fix integration and performance problems that stop a launch.
• Find the next use case. Prototype new uses inside existing accounts.
• Feed the product. Bring customer patterns back to product and engineering, and turn one-off fixes into reusable playbooks and reference architectures.

The US FDE listing uses almost the same wording and adds that FDEs embed with enterprise customers. For India, the listing values experience with multilingual and non-English deployments. That fits a market where voice agents often need to handle Hindi, Tamil, Telugu and other Indian languages, and code-mixed speech.

Experience and skills Cartesia asks for

Beyond the must-haves, the India FDE listing names these as a plus:

• forward-deployed, solutions or other customer-facing engineering experience;
• deploying AI or ML systems to production;
• real-time systems: voice, streaming, telephony or low-latency services;
• on-prem or hybrid deployments;
• multilingual or non-English deployments;
• startup or founder experience.

The listing also asks for high ownership, comfort with ambiguity and clear communication with senior customer stakeholders.

What this tells you: Cartesia wants a strong backend and cloud engineer first and a voice specialist second. Experience with real-time audio, SIP or WebRTC telephony, or Indian-language speech systems is what will set you apart.

Pay

Cartesia is one of the few AI startups to post FDE pay for India.

The ₹70–90 LPA band is for a mid-level role asking for 4+ years. That puts it well above most FDE pay posted in India. The listing doesn’t say whether the band is base pay or total pay, and doesn’t value the equity. Ask both questions early. The listing is closed, so a reopened role may carry a different band. Compare it with other employers on the FDE Salary Estimator.

How to prepare

1. Build a real-time voice agent. Connect speech-to-text, an LLM and a text-to-speech API (Cartesia’s Sonic or another) into one streaming loop. Measure the time to first audio and get it down. Low latency is the core of Cartesia’s product.
2. Put it on a phone line. Connect the agent to a telephony provider over SIP or WebRTC and handle interruptions and call transfers. Telephony is a named plus that few backend engineers have.
3. Deploy it the enterprise way. Run it on Kubernetes in AWS or GCP with proper auth, private networking, logging and metrics. Then write down what would change for an on-prem install. The listing calls out cloud, VPC and on-prem.
4. Handle Indian languages. Test your agent with Hindi or another Indian language and code-mixed speech, and note where pronunciation or latency breaks. The listing values multilingual deployment experience.
5. Write the playbook. Turn your project into a short reference architecture and a troubleshooting guide for a customer team. Cartesia FDEs are expected to produce these. Practise explaining it out loud with our FDE interview questions guide.

The role is based in Bengaluru. See FDE jobs in Bengaluru for other employers hiring there, and Sarvam AI’s FDE page for another voice-heavy AI company hiring in India.

Cartesia FDE interview: what is publicly known

1. Application: Cartesia's India roles have appeared as 'Forward Deployed Engineer (India)' and 'Founding Forward Deployed Engineer (India)' on investor job boards (General Catalyst, Index Ventures) and Built In. The Bengaluru role was in-office.
2. Founder conversation: Cartesia doesn't publish its interview process. A July 2026 techinterview.org guide, based on a few candidate reports, says the process often starts with a conversation with a founder or the CEO.
3. Technical rounds: The same guide says technical rounds are matched to your track, with hands-on building for systems and product candidates, and that the whole process often takes one to three weeks. Treat this as unofficial.
4. Offer: The Bengaluru FDE listing posted ₹70–90 LPA plus equity. Ask the recruiter how the equity is valued and whether the band has changed since that listing.