Cartesia

4 months ago

Founding Forward Deployed Engineer (India)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 minutes agoStatus: Live

Job Summary

Join Cartesia as a Forward Deployed Engineer to embed with enterprise customers and deliver agentic voice AI solutions into production environments. You’ll write production-grade code, own deployments end-to-end, and navigate cloud, on-prem, and security constraints to drive adoption and scale for real-time multimodal AI projects.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Write and ship production-grade code – Design, build, and deploy voice AI systems that power real enterprise workflows.
•Own deployments end-to-end – Lead discovery, architecture, implementation, and rollout for strategic customer engagements.
•Deliver across complex infrastructure – Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements.
•Unblock critical integrations – Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.
•Drive expansion through building – Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value.

Pay and Benefits

Salary: INR 7,000,000 - 9,000,000 annually

Equity and Bonus:Equity

Perks:Relocation401kHealth InsuranceDentalVisionImmigration Support

Key Requirements

•4+ years of experience building and operating production software systems.
•Strong backend engineering fundamentals and a track record of delivering reliable systems.
•Experience integrating APIs and distributed services into real-world infrastructure.
•Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes).
•Experience navigating enterprise constraints: authentication, networking, observability, and security reviews.

Experience:4+ yearsEnterpriseAIVoiceProduction software

Skills:CommunicationOwnershipBias for actionStructured communicationStakeholder management

Tech Stack:AWSGCPKubernetesAPIsSecurityObservabilityAuthenticationNetworking

Company Brief

Cartesia

Builds real-time multimodal and voice AI (Sonic) that generates expressive, low-latency speech for conversational agents and on-device experiences, serving developers and enterprises with APIs and SDKs.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2023

Website LinkedIn Glassdoor

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Cartesia

4 months ago

Founding Forward Deployed Engineer (India)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 minutes agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Write and ship production-grade code – Design, build, and deploy voice AI systems that power real enterprise workflows.
•Own deployments end-to-end – Lead discovery, architecture, implementation, and rollout for strategic customer engagements.
•Deliver across complex infrastructure – Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements.
•Unblock critical integrations – Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.
•Drive expansion through building – Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value.

Pay and Benefits

Salary: INR 7,000,000 - 9,000,000 annually

Equity and Bonus:Equity

Perks:Relocation401kHealth InsuranceDentalVisionImmigration Support

Key Requirements

•4+ years of experience building and operating production software systems.
•Strong backend engineering fundamentals and a track record of delivering reliable systems.
•Experience integrating APIs and distributed services into real-world infrastructure.
•Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes).
•Experience navigating enterprise constraints: authentication, networking, observability, and security reviews.

Experience:4+ yearsEnterpriseAIVoiceProduction software

Skills:CommunicationOwnershipBias for actionStructured communicationStakeholder management

Tech Stack:AWSGCPKubernetesAPIsSecurityObservabilityAuthenticationNetworking

Company Brief

Cartesia

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2023

Website LinkedIn Glassdoor