Top Tech Jobs & Startup Jobs

Develop and deploy generative AI solutions using large language models while collaborating with cross-functional teams and optimizing model performance.

Embed with strategic customers to design, build, and deploy frontier AI/LLM systems into production. Responsibilities include discovery, architecture, integration, prototyping, deployment, observability, safety evaluations, and driving adoption and product feedback.

Lead design, delivery, and long-term health of scalable backend microservices while directly managing and mentoring a team of engineers. Own architecture, API design, async/event-driven workflows, data persistence and caching, observability, security, CI/CD, and production incidents. Partner with product and platform teams to drive roadmaps and reliable delivery.

Lead design and delivery of scalable Salesforce solutions focused on CPQ, Core Salesforce, and Experience Cloud. Provide technical leadership, define development standards, translate stakeholder requirements into architecture, oversee implementations, integrations, and customizations, identify risks and mitigations, and drive continuous improvement aligned with Salesforce best practices.

The Senior Software Engineer will design and implement cloud-native integration services, focusing on APIs, microservices, and event-driven architectures primarily on AWS. Responsibilities include writing production-grade software, developing resilient distributed systems, and collaborating with finance teams for enterprise integrations.

The Lead Salesforce Developer will create custom Salesforce solutions, oversee development timelines, troubleshoot issues, and guide teams on best practices.

Design and execute test plans for web, Salesforce, and enterprise applications; perform functional, regression, integration, and end-to-end testing; build and maintain Playwright automation frameworks; integrate tests into CI/CD; track defects; support performance/security testing; mentor junior QA engineers and promote quality best practices.

Design and build enterprise Copilot-powered conversational solutions using Microsoft Copilot Studio and Power Virtual Agents, integrating Power Platform and Azure services, implementing HITL and escalation flows, developing custom connectors and extensions, optimizing performance with telemetry, and supporting ALM, Git-based deployments and client workshops.

Design and optimize large-scale AI platform internals: inference runtimes, model serving, GPU and distributed performance, context engineering, cost optimization, release safety, observability, and production reliability. Provide technical leadership, mentor engineers, define architecture trade-offs, and ensure safe, cost-efficient, and scalable deployment of LLM and agentic systems.

Lead end-to-end Salesforce and go-to-market programs, manage cross-functional dependencies, drive integrations and Customer 360 adoption, enable reporting and AI-driven use cases, and oversee executive governance, budgets, and program health to improve revenue operations and data quality.