Top Tech Jobs & Startup Jobs

As a Senior Android Engineer, you'll develop native Android applications, propose process improvements, collaborate with teams, and ensure high-quality deliverables.

Design, develop, and deploy production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines, and computer vision. Research and implement state-of-the-art models, take prototypes through production, collaborate with data scientists and engineers, and contribute to proprietary insurance-focused AI models and scalable international AI products.

Design, develop, and deploy production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines, and computer vision. Research state-of-the-art methods, build scalable products and proprietary models, and take projects from architecture and PoC through production while collaborating with data science and engineering teams.

Lead positioning, messaging, and sales enablement for B2B solutions and services. Translate technical content into buyer-focused materials, run competitive research, build campaign assets, and support sales with briefs, decks, and playbooks. Collaborate across marketing, sales, design, and engineering to drive evidence-based campaigns and buyer intelligence for enterprise technology services.

Design, prototype and deliver production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines and computer vision. Research and implement state-of-the-art models, build scalable products, take solutions from architecture and PoC to production, and collaborate with data science and engineering teams.

Senior Python Engineer focused on backend development and integrating AI models into production. Design scalable FastAPI/C# services, collaborate with data scientists, optimize AI application performance, and improve development processes using AWS ML and DevOps tooling.

Design and implement backend AI solutions in Python (FastAPI) and C#, integrate and host ML models to production, optimize AI application performance, collaborate with data scientists, and improve development processes and DevOps pipelines.

Design, implement, and optimize Python-based AI/ML backend solutions. Integrate models with production systems, collaborate with data scientists, ensure scalable APIs and services, and contribute to DevOps and process improvements.

Design and implement backend software in Python and C# to integrate, host, and optimize AI/ML models. Build scalable FastAPI-based services, collaborate with data scientists and developers, improve performance, and advance development processes and deployment pipelines.

Develop and maintain Python backend services, build and improve data pipelines, design third-party API integrations, participate in architecture discussions, write automated tests with pytest, investigate and resolve production issues, and collaborate with an international engineering team.