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Deployment Engineer

Avoca
Remote
Bengaluru, IndiaRemote· 11 days ago

Straight from Avoca’s careers page. Apply on the company site — no recruiter, no middleman.

Deployment Engineer

Department: Engineering

Location: Bengaluru, India

Employment Type: FullTime

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.

Were 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 130+ 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, were 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.

Must be available to work during eastern time zone (EDT/EST) business hours

About the Role

Were looking for a highly technical Deployment Engineer to join our remote team. As a DE, youll embed directly with customers — understanding their operations, designing tailored AI solutions, and deploying systems that deliver immediate impact from day one. Youll take ownership of deployments, integrations, and operational support of Avocas voice agent products in live customer environments, operating with high autonomy in ambiguous, high-stakes situations.

This role requires deep technical expertise, strong root-cause diagnosis skills, and exceptional communication to keep our solutions running reliably in production.

What You’ll Do

  • Embed with customers to understand their operations and deliver working AI solutions from day one

  • Deploy, integrate, and maintain Avocas voice agent products within complex customer infrastructure

  • Build and maintain the infrastructure behind conversational AI — APIs, integrations, monitoring, and feedback loops

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

  • Translate business requirements into technical architectures and deployment plans

  • Identify patterns across deployments and feed insights back into the product roadmap

  • Monitor and optimize product performance in production, working directly with LLMs and distributed systems

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

  • Document solutions, best practices, and troubleshooting processes to raise the whole teams operational bar

What Youll Bring

  • 2+ years of software engineering experience, preferably backend or systems-focused

  • Proficiency in Python (TypeScript/JavaScript a plus)

  • Hands-on experience with microservices architectures, APIs, SQL/NoSQL databases, networking, and distributed systems

  • Familiarity with major cloud providers (AWS, GCP, or Azure)

  • Experience diagnosing and debugging production systems and integration environments

  • Strong communicator, able to work with both technical and non-technical, customer-facing stakeholders

  • Experience with LLMs, prompt engineering, vector databases, or AI agent frameworks

  • Customer-facing technical experience is a plus

  • Ability to work remotely while collaborating with a high-performing team across US time zones

 

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.

Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

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