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
Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution
Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations
Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward
Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding
Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders
As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV