Top Tech Jobs & Startup Jobs

Build and maintain production-grade full-stack applications across frontend, backend, cloud infrastructure, and deployment pipelines. Develop responsive React or similar frontend applications, TypeScript and Node.js backend services, RESTful APIs, and AWS cloud-native architectures. Design serverless and container-based solutions, implement Generative AI and RAG applications, and work with vector databases, embeddings, retrieval pipelines, model evaluation, and prompt engineering. Own projects from design through deployment with minimal oversight.

Design, develop, and scale backend services and agent orchestration workflows for an Agentic AI platform. Integrate LLMs and vector DBs, implement RAG pipelines, build tools/connectors, ensure CI/CD, monitoring, testing, and optimize performance for production AI deployments.

Develop and maintain Python backend services and AI platform components. Build agent orchestration workflows, integrate LLMs and RAG solutions, connect tools and enterprise systems, optimize performance, and create testing and evaluation frameworks for production-ready agentic AI deployments.

Develop production-grade agentic AI applications in Python, including AI agents, multi-agent workflows, APIs, integrations, RAG pipelines, and cloud deployments. Use LLMs, vector databases, agent frameworks, and observability tools while implementing secure, governed AI solutions. Collaborate with clients, architects, product teams, and data scientists through workshops, demonstrations, proofs of concept, and troubleshooting sessions.

Develop scalable Java full-stack applications using Spring Boot, REST APIs, microservices, React or Angular, databases, cloud platforms, Docker, and Kubernetes. Build and integrate generative and agentic AI capabilities, including LLMs, RAG, vector databases, orchestration, tool calling, and MCP. Partner with enterprise stakeholders to prototype, deploy, secure, monitor, and support production solutions while translating ambiguous business needs into technical implementations.

Lead and mentor QA team to define QA strategy and processes. Design, develop, and maintain Java-based Selenium/Cucumber automation frameworks, integrate tests into CI/CD pipelines, test cloud-hosted AWS applications, manage defect lifecycle, define test plans and metrics, and collaborate with DevOps, development, and product teams to ensure software quality across the SDLC.

Design, build, and maintain scalable, responsive web applications using React and TypeScript. Create reusable UI components, implement end-to-end tests with Cypress, optimize performance, collaborate with product/design/backend teams, participate in code reviews, mentor junior engineers, and contribute to architecture and API integrations.

Manage top-of-funnel eCommerce products (browse, search, product pages) across web and mobile. Requires technical proficiency with APIs/microservices, data flow and analytics tag inspection, and digital retail technologies (search platforms, CMS). Own sub-product areas end-to-end, work in agile Azure/ADO environments, and perform basic financial analyses.

Lead creative deliverables for a workstream, overseeing design outputs (comps, style guides, branding, graphics, layouts), contribute to information architecture and content structures, manage project delivery and offshore resources, and align designs with technical feasibility and development handoff.

Build and operate an on-prem AI platform (Model-as-a-Service) including RAG pipelines, vector DBs, MCP tooling, agent repositories, CI/CD integration, and guardrails within MRM. Optimize large on-prem GPU infrastructure and translate business use cases into scalable platform services.