Jobs at DeepIntent

Leads front-end architecture and development for complex data- and AI-driven applications. Owns UI scalability, performance, accessibility, monitoring, build pipelines, component libraries, and cross-browser compatibility. Establishes engineering standards, reviews code, mentors engineers, defines technical roadmaps, and collaborates across Product, UX, and Backend. Builds resilient interfaces for real-time and non-deterministic AI outputs, including streaming, loading states, fallbacks, and error handling.

Provides technical leadership across backend teams, architecting high-throughput distributed systems with Java and Spring Boot. Leads cross-team initiatives, mentors engineers, and drives best practices in APIs, testing, security, observability, and healthcare data privacy. Builds Redis- and Kafka-based systems, investigates production issues, and integrates AI capabilities including LLMs, RAG, agentic workflows, and MCP. Requires extensive experience with cloud platforms, containers, databases, CI/CD, and scalable event-driven architectures.

Build scalable backend services, REST APIs, data architectures, reporting APIs, and batch or streaming pipelines using Java, Spring Boot, Kafka, and cloud technologies. Establish DataOps practices, optimize low-latency systems for performance and cost, support analytics and machine learning teams, and uphold engineering, security, privacy, and healthcare compliance standards. The role also requires responsible use of AI tools across the software development lifecycle.

Designs and maintains scalable automated testing frameworks for UI, APIs, databases, and end-to-end applications. Develops tests with Python and automation tools, integrates testing into CI/CD, validates complex data pipelines, investigates failures, and collaborates with engineering and product teams. The role also applies AI-assisted engineering, GenAI, and LLM evaluation techniques to improve test coverage, quality, reliability, and productivity.

Provides technical leadership for high-throughput backend systems built with Java and Spring Boot. Owns distributed-system architecture, Redis and Kafka integrations, cloud infrastructure, observability, production reliability, and cross-team technical initiatives. Leads AI integration including LLM features, agentic workflows, RAG, MCP, and AI-assisted development. Mentors engineers, establishes engineering standards, investigates complex incidents, and partners on technical strategy.

Lead backend architecture for a data and analytics platform using Java and Spring Boot. Design secure, scalable, multi-tenant distributed systems, data pipelines, APIs, messaging, workflows, observability, and AI-powered features. Drive cross-team technical initiatives, production reliability, engineering standards, privacy, security, and responsible AI development while mentoring engineers and shaping the technical roadmap.

Deploys and maintains Kubernetes-based microservices infrastructure, CI/CD pipelines, monitoring, AWS services, databases, and distributed data systems. Automates administration with Bash or Python, manages Linux environments using Ansible and Terraform, troubleshoots networking and load balancing, and partners with developers to improve application reliability and performance.

Responsible for building and operating data architectures, creating data pipelines, and implementing DataOps practices to support data scientists and engineers.