Software Engineer - Applied AI

Role

Forward Deployed Software Engineer (Applied AI) responsible for designing, building, and deploying AI agents, integrations, and knowledge-graph solutions that connect DevRev to customers’ existing systems. The role is customer-facing and requires both hands-on engineering and technical collaboration across product, engineering, and customer teams.

Key Responsibilities

• Work directly with customers (~30% customer-facing) to gather requirements, run demos, and deliver deployed solutions.
• Hands-on coding and integration (70–80%): develop applications, integrations, and automations on the DevRev platform.
• Build and maintain the Knowledge Graph and integrate DevRev with SaaS and non-SaaS systems via APIs, webhooks, and real-time communication architectures.
• Design, develop, and launch AI agents; apply prompt engineering, fine-tune semantic search, and leverage generative AI techniques to improve agent performance.
• Write SQL, perform data analysis, and build dashboards to surface actionable insights for customers.
• Prototype rapid proofs-of-concept, run live technical demos, and iterate on solutions based on feedback.
• Lead cross-functional collaboration with engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide customers through technical adoption, repository integrations, and advanced configurations.
• Be travel-ready (willingness to travel up to 30% for on-site implementations and workshops).

Requirements

• 3+ 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 coding proficiency in TypeScript/JavaScript and Python; familiarity with data structures and algorithms. (Nice to have: Go.)
• Applied AI knowledge: experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), function calling, and building evals to validate agentic AI solutions.
• Integration expertise: large-scale data synchronization, REST/GraphQL APIs, webhooks, and event-driven/pub-sub architectures.
• Cloud and deployment experience with serverless/edge platforms (e.g., AWS Lambda, Google Cloud Functions) and modern DevOps practices (CI/CD, containers, observability).
• Data transformation skills: data mapping, schema alignment, data modeling, and graph data structures.
• Observability: logging, error surfacing, and telemetry for debugging and issue resolution.
• Familiarity with Model Context Programming (MCP) or similar approaches for context-aware integrations.
• Strong problem-solving, documentation, and communication skills for technical and non-technical stakeholders.

Hiring Process / Notes

• Shortlisted candidates will undergo Background Verification (BGV); offers are contingent on successful completion.

Removed / Not Included

• Company fundraising, broad marketing/mission statements, and equal opportunity boilerplate have been omitted for brevity.