engineering
Posted Mar 19Deployment Engineer (India)
at Avoca
Bengaluru, IndiaOn-site
Responsibilities
- 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.
Requirements
- 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.
- 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.
- NOTE: PLEASE APPLY USING THIS LINK https://app.fabrichq.ai/jobs/692bc964-289c-4c68-9545-8bdd16d3b9af DEs are highly technical self-starters who take ownership of deployments, integrations, and operational support of Avoca’s voice agent products in customer environments.
- 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.
- 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. -