Top Tech Jobs & Startup Jobs in Indianapolis, IN

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.

Lead and deliver Workday implementations with a focus on integrations. Design, build, test, and deploy Workday Studio integrations using Core Connectors, PECI, EIBs, and XSLT. Collaborate with business and technical stakeholders and own end-to-end integration lifecycle from requirements through production deployment.

The Business Development Representative will generate leads, qualify prospects, and build a pipeline targeting SMB freight forwarders, with a focus on rapid growth in North America.

Research, draft, and manage grant applications to government, foundation, and corporate funders. Identify opportunities, write persuasive proposals and budgets, manage submission timelines and compliance, collaborate with leadership to gather data, maintain a grant tracking system, and prepare progress reports and impact summaries for awarded grants.

Create short-form finance and Excel content that demonstrates TabAI workflows, engage and educate audiences across social platforms, experiment with formats and insights, collaborate with TabAI on prompts and creative direction, and drive subscriptions via affiliate links while building a personal brand.

General application to match applicants with Launch Institute of Technology training programs in AI, clean energy, and advanced technology. Collects background, interests, and location to determine program eligibility and availability (remote/hybrid varies by state).

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Six-month engineering internship building production backend services and AI pipelines. Design SQL schemas (PostgreSQL), implement SaaS integrations (REST APIs, webhooks), work with embeddings, transformer models and vector databases, build end-to-end data processing pipelines, and contribute to code reviews and architecture discussions.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.