- Customer-facing : 30% working directly with customers.

- Coding & Integration : 70-80% hands-on technical implementation.

- Build & Deploy Solutions : Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.

- Integrate Systems : Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.

- Optimize AI Performance : Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.

- Own Data Insights : Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.

- Prototype & Iterate : Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.

What You Bring :

- Experience : 3+ years in software development, systems integration, or platform engineering.

- Customer-facing experience is a plus.

- Background : Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

- Coding Skills : Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms.

- (Nice to have : Go).

- Applied AI Knowledge : Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.

- Integration Expertise : Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.

- Cloud & Deployment : Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).

- Data Transformation : Skilled in data mapping, schema alignment, and working with heterogeneous systems.

- Understanding of data modeling and graph data structures.

Technical Skills :

- API integrations (calling & building) : REST API design, building, and consumption, Webhooks building and handling, Microservices architecture, Event-driven architecture, GraphQL.

- Languages : TypeScript / Python, JavaScript / Node.js, SQL.

- Databases : PostgreSQL, Redis (caching, queuing), MongoDB, Vector databases.

- AI and LLM : LangChain, RAG pipelines, Embeddings and vector search, Prompt engineering, LLM API usage (OpenAI, Anthropic), MCP Servers.

- Testing and Observability : Unit testing (JUnit, pytest, Mockito), API testing (Postman), Monitoring tools Grafana, Prometheus, Coralogix.

- Building customer workflows and automations.

- Cloud & DevOps : AWS basics S3, Lambda, ECS, CloudWatch, Docker, Kubernetes, Git / version control.

Customer-Facing Experience :

- Has built customer flows or integrations.

- Improvement work tied to customer outcomes.

- Direct customer interaction in past roles.

Understanding the Customer's Problem :

- Integration Work (Imp connect two systems, work with 3rd party APIs, built/configured webhooks).

- Handling Real Customer Issues (post-deployment).

- Communication with Non-Technical Stakeholders & POC / Prototype Delivery.