AI Companies Hiring Interns & Early-Career Talent in 2026

OpenAI develops advanced AI systems and research products. For students and early-career candidates, relevant areas can include software engineering, machine learning, research, infrastructure, safety and product engineering. OpenAI also publishes opportunities through its emerging-talent and residency programs.

UnifyApps focuses on helping businesses connect applications, data and workflows through a unified platform. Candidates interested in backend engineering, frontend development, integrations, automation and enterprise software can explore the company’s current opportunities.

Crusoe works at the intersection of energy and computing infrastructure, including cloud infrastructure for demanding AI workloads. Its early-career program covers technical and business areas, making it worth checking for students who want hands-on experience in infrastructure and software.

Cohere builds enterprise-focused AI models and tools, with a strong emphasis on language technology. Students with experience in Python, NLP, machine learning, distributed systems or backend engineering can look for opportunities that match their technical depth.

Scale AI develops data and AI infrastructure used to train, evaluate and deploy advanced AI systems. Its technical internship opportunities can involve machine learning research, generative AI, reinforcement learning, evaluation and production ML systems.

Sarvam AI is building a full-stack AI platform for India, spanning models, infrastructure and applications. Its careers page has included engineering, AI/ML, infrastructure, product, marketing and internship roles, making it particularly relevant for candidates looking for opportunities in India.

Eightfold AI builds AI-powered talent intelligence technology for recruiting and workforce management. Its hiring footprint includes India and other international markets, so candidates in software, AI, data, product and enterprise technology should check role-specific location requirements.

NEURA Robotics develops intelligent robots that combine AI, software and hardware. Opportunities can span robotics software, AI, hardware, product, manufacturing and related functions. Students interested in robotics should pay attention to the technical requirements of each role.

Together AI focuses on infrastructure, models and tooling for modern AI development. Its opportunities can cover AI infrastructure, inference, model training, developer tools and technical support. Candidates should check individual postings because location and experience requirements vary.

Genesys develops cloud customer-experience technology with AI, analytics and automation. It can be relevant to students who want to work on large-scale SaaS, backend systems, AI-enabled customer applications, data and cloud platforms.

Etched is focused on specialized computing hardware and systems for AI inference. This makes it especially interesting for candidates who enjoy the boundary between machine learning and computer architecture, compilers, hardware and high-performance systems.

Glean builds AI-powered enterprise search, knowledge and workplace productivity tools. Engineering candidates can find work involving retrieval, search, LLM applications, distributed systems, frontend and backend services.

Waabi works on physical AI and autonomous transportation, combining machine learning, simulation and robotics. Students with strong foundations in computer vision, deep learning, robotics or software systems can explore its technical roles and student opportunities.

Workato develops enterprise automation and integration technology. It is a useful target for developers who want experience with APIs, distributed applications, workflow automation, cloud services and business software.

Mercor works on the intersection of AI and human expertise, helping organize talent and evaluation for the AI economy. Its roles can include engineering, research, security and internships, so candidates should inspect the current opening rather than relying on an old job post.

Cresta builds AI technology for customer experience and contact-center workflows. The company can be relevant to software, machine learning, product and enterprise technology candidates. Always use the official careers site and verify recruiter communications.

Relativity develops software for legal and compliance data workflows, with cloud and AI capabilities. It can be a strong option for candidates who want enterprise software experience rather than working only on model research.

Attentive.ai applies AI to the construction and property-services ecosystem. Its careers have included engineering, product, research and internship opportunities, including computer-vision-focused roles. Check the exact location and eligibility for each opening.

Hadrian combines advanced manufacturing, automation and software to modernize production. Candidates interested in robotics, manufacturing systems, software, controls and industrial technology can explore the company’s opportunities.

Sakana AI is an AI research company known for exploring new approaches to model development and AI systems. Research-oriented students should review its current opportunities carefully because many frontier research roles have demanding academic and technical requirements.

Harvey builds AI software for professional services and legal workflows. Candidates interested in LLM applications, enterprise software, product engineering and applied AI can monitor its opportunities.

Kimi is associated with Moonshot AI and focuses on large language model products and research. Candidates should check the company’s official recruitment channels for current locations, language requirements and eligibility.

ThoughtSpot develops AI-powered analytics and business intelligence products. It can suit candidates interested in data, search, natural-language analytics, backend systems, frontend applications and enterprise SaaS.

StackAdapt builds advertising technology using data, machine learning and automation. Candidates interested in recommendation systems, data platforms, distributed services, software and analytics can explore its careers page.

Adaptive Security focuses on security threats involving AI and modern social-engineering attacks. Cybersecurity, detection, data science and software engineering candidates may find relevant roles as the company grows.

Skan AI works on process intelligence and enterprise workflow understanding. Candidates can look for roles involving AI, software engineering, data, automation and product development.

Modal provides cloud infrastructure and developer tooling for running demanding workloads, including AI and GPU applications. It is a strong target for developers who enjoy Python, distributed systems, cloud platforms and ML infrastructure.

Upscale AI is included in the hiring list as an applied-AI company. Candidates should use the official site to confirm the company’s current products, locations and available roles before applying.

AlphaSense develops AI-powered market and business intelligence software. Its technology uses search, natural-language processing and data analysis to help organizations extract insights from large information sources.

AfterQuery appears on the source AI hiring list. Because smaller companies can change their hiring pages quickly, candidates should start from the official website, understand the current product and then navigate to its live jobs or careers section.

Emergent is associated with AI-first product development and agentic software workflows. Candidates interested in LLM applications, product engineering and fast-moving startup environments can monitor its current openings.

PhysicsX applies AI, scientific computing and simulation to engineering and industrial problems. It is particularly interesting for candidates who combine machine learning with mathematics, physics, numerical methods or high-performance computing.

Accrete is included in the source list as an AI company working on autonomous intelligence and enterprise applications. Candidates should verify the current company focus and open positions on the official site before applying.

Triomics builds AI technology for oncology and clinical workflows, with a focus on helping cancer centers work with complex healthcare data. Its careers page covers areas such as engineering, clinical work, go-to-market and customer success.

Baseten builds infrastructure for deploying and serving machine-learning models. It is particularly relevant for engineers who enjoy production ML, inference performance, cloud infrastructure, APIs and developer tooling.