Deployment Engineer

Avoca · Remote · Bengaluru, India ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US time zones)
  • Python + Microservices
  • AI & LLM focus
  • Customer-facing role
  • Series B startup

Join Avoca as a Deployment Engineer to bridge the gap between complex AI technology and customer operations. You will take ownership of deploying, integrating, and supporting voice agent products in live environments, ensuring reliability and performance for major brands in the home services sector.

What you'll do

  • Embed with customers to understand operations and deliver working AI solutions
  • Deploy and maintain voice agent products within complex customer infrastructure
  • Build infrastructure for conversational AI including APIs and monitoring
  • Diagnose production issues across distributed systems and LLM workflows
  • Translate business requirements into technical architectures and deployment plans
  • Monitor product performance and optimize interactions with LLMs
  • Communicate technical issues clearly to technical and non-technical stakeholders
  • Document solutions and troubleshooting processes to improve team operations

What you'll need

  • 2+ years of software engineering experience, preferably backend or systems
  • Proficiency in Python programming language
  • Experience with microservices, APIs, SQL/NoSQL databases, and networking
  • Familiarity with major cloud providers such as AWS, GCP, or Azure
  • Strong skills in diagnosing and debugging production systems
  • Ability to communicate effectively with customer-facing stakeholders
  • Available to work during Eastern Time Zone business hours

Nice to have

  • Proficiency in TypeScript or JavaScript
  • Experience with LLMs, prompt engineering, or vector databases
  • Prior customer-facing technical experience

Stack

  • Python
  • TypeScript
  • JavaScript
  • AWS
  • GCP
  • Azure
  • SQL
  • NoSQL
  • LLMs

How you'll work

  • Fully remote position
  • Must work Eastern Time Zone business hours
  • Collaborate with teams across US time zones