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Avoca

Posted 2 months ago

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Deployment Engineer (India)

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AI Summary

Deployment Engineer responsible for deploying, integrating, and supporting Avoca’s voice agent products in complex customer environments, performing root-cause analysis and ensuring reliability.

About this role

About Avoca

Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.

We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 100+ employees in under two years across our NYC headquarters and Santa Barbara office.

In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.

Role Overview

We are seeking a highly skilled and motivated Deployment Engineer (DE) to join our remote team. NOTE: PLEASE APPLY USING THIS LINK

DEs are highly technical self-starters who take ownership of deployments, integrations, and operational support of Avoca’s voice agent products in customer environments.

This role requires deep technical expertise, strong root-cause diagnosis skills, and exceptional communication to ensure our solutions operate reliably in complex production environments.

Key Responsibilities

  • Deploy, integrate, and maintain Avoca voice agent products in complex customer infrastructures.

  • Diagnose production issues and perform deep root-cause analysis across distributed systems, APIs, and LLM-powered workflows.

  • Analyze and resolve complex technical scenarios involving Large Language Models (LLMs), system architecture, and scalability challenges.

  • Collaborate with cross-functional teams and customers to understand requirements and deliver tailored technical solutions.

  • Monitor and optimize product performance in production environments leveraging LLMs and distributed systems.

  • Communicate complex technical issues clearly to both technical and non-technical stakeholders.

  • Document solutions, best practices, and troubleshooting processes to improve team knowledge and operational efficiency.

  • Take initiative to improve deployment tooling, reliability, and system observability.

Core Competencies

Troubleshooting & Root Cause Analysis

  • Systematically diagnose and resolve complex technical problems.

  • Perform structured debugging across infrastructure, APIs, networking, and application layers.

Communication

  • Clearly explain technical concepts and tradeoffs to diverse audiences including customers.

Fundamental Knowledge

  • Strong foundation in computer science, system architecture, networking, databases, and distributed systems.

  • Ability to reason from first principles.

Domain Knowledge

  • Understanding of Large Language Models (LLMs), their limitations, and operational considerations.

Decision Making

  • Make fast, effective decisions that balance technical solutions with business impact.

Ownership & Self-Starter Mentality

  • Proactively take ownership of problems, deployments, and improvements.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.

  • Hands-on experience with:

    • Microservices architectures

    • APIs

    • SQL / NoSQL databases

    • Networking and distributed systems

  • Experience diagnosing and debugging production systems and integration environments.

  • Familiarity with AI/ML systems, Prompt Engineering, particularly LLM-powered applications, is highly desirable.

  • Strong analytical and problem-solving skills.

  • Excellent verbal and written communication.

  • Experience in customer-facing technical roles is a plus.

Why Join Avoca

  • Work remotely while collaborating with a high-performing team across US time zones.

  • Join a fast-moving startup environment where engineers have real ownership and impact.

  • Contribute to cutting-edge voice agent technology transforming service industries.

  • Solve challenging real-world AI deployment problems at scale.

  • Continuous learning and growth in a high-velocity, innovation-driven culture.

Why Avoca

At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.

Skills

APIsCI/CDCloud DeploymentsDebuggingDistributed SystemsDockerDocumentationKubernetesLinuxLLMsMicroservicesMonitoringNetworkingNoSQLObservabilityPrompt EngineeringRoot-causes AnalysisSQLSystem ArchitectureTroubleshooting

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