4 months ago
Chennai, India or Bengaluru, IndiaSenior
Responsibilities
- Spend approximately 30% of the role working directly with customers and 70–80% on hands-on technical implementation.
- Design, develop, deploy, and iterate AI agents, integrations, and workflow automations connected to customer technology stacks.
- Build Knowledge Graph integrations with SaaS and non-SaaS systems using APIs, webhooks, and real-time communication architectures.
- Improve AI agent accuracy and user experience through prompt engineering, semantic search tuning, generative AI techniques, and evaluation development.
- Write SQL queries, perform data analysis, and build dashboards that surface customer insights.
- Develop proofs of concept, conduct live technical demonstrations, and refine solutions based on stakeholder feedback.
- Collaborate with customers, engineering, product, customer success, support, and revenue teams.
- Guide customers through repository integrations, advanced configurations, and critical workflows.
- Implement logging, error surfacing, and telemetry to support debugging and issue resolution.
- Travel up to 30% for on-site implementations, workshops, and customer engagements.
Requirements
- At least 5 years of experience in software development, systems integration, or platform engineering.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Strong proficiency in TypeScript or JavaScript and Python, with knowledge of data structures and algorithms; Go is a plus.
- Familiarity with LLMs, prompt engineering, RAG, function calling, and building evaluations for agentic AI solutions.
- Deep experience with large-scale one-way and two-way data synchronization, REST and GraphQL integrations, webhooks, and event-driven or pub/sub architectures.
- Hands-on experience deploying on serverless and edge platforms such as AWS Lambda and Google Cloud Functions.
- Experience with modern DevOps practices, containers, and observability.
- Skills in data mapping, schema alignment, heterogeneous systems, data modeling, and graph data structures.
- Familiarity with Model Context Programming for adaptive, context-aware integrations.
- Strong problem-solving, written and verbal communication, and technical documentation skills.
- Customer-facing experience is a plus.
Benefits
- Willingness and ability to travel up to 30% for on-site customer work is required.
- Shortlisted candidates undergo background verification, and offers are contingent on successful completion.
- DevRev is an equal opportunity employer.
Tech Stack
Categories
Forward Deployed
About DevRev
DevRev builds Computer, an AI platform for enterprise search, employee service/help desk, and customer support that connects to a company’s existing tools and data. It sells cloud software and APIs to enterprises on a subscription basis, supporting use cases from knowledge retrieval to automated ticket resolution. Founded in 2020 and headquartered in Palo Alto, the company was started by former Nutanix leaders Dheeraj Pandey and Manoj Agarwal and remains privately held.