Top Tech Jobs & Startup Jobs

Lead architecture and development of scalable backend and full-stack features for AI-native products, build agentic AI workflows and orchestration, design distributed systems and APIs, ensure security and performance, troubleshoot production, and mentor engineers.

As a Staff Data Scientist, lead the design and deployment of NLP solutions, mentor team members, and collaborate on AI/ML products to analyze unstructured data.

The role involves managing customer onboarding, building demos, and configuring AI solutions as part of the deployment process. The engineer will develop streaming log ingestion, enhance the RCA agent, and contribute to tool and log parser development, ensuring successful AI operationalization for enterprise customers.

Lead QA strategy and hands-on test automation for an AI-first SaaS product. Design and maintain Playwright-based end-to-end frameworks, API tests, CI/CD integration, test data/environment strategies, quality metrics, and mentor QA engineers while promoting shift-left practices.

Design and build Python-based integrations, data pipelines, APIs, and AI-enabled workflows; deploy and maintain LLM/NLP/RAG capabilities in cloud environments; troubleshoot production issues; lead customer-facing implementations and mentor engineers to deliver scalable, reliable solutions.

Lead implementation of Python-based backend integrations and data pipelines to deploy LLM/NLP/RAG solutions for enterprise clients. Configure cloud deployments, ensure reliability and observability, troubleshoot production issues, and collaborate with Customer Success, ML, and engineering teams. Mentor juniors and document implementation playbooks.

The role involves guiding the implementation and optimization of AI solutions for enterprise clients, focusing on customer onboarding, technical deployments, and service transformation initiatives.

Entry-level frontend role building responsive, accessible UI features from Figma designs. Implement pixel-accurate components, debug cross-browser issues, document components, and collaborate with designers and backend engineers to ship features end-to-end.

The Product Manager will lead the strategy and execution of agent product experiences, collaborating with teams to enhance AI diagnostics and optimize service workflows.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.