--- title: 'Software Engineer Intern (AI-Native) — Fall 2026 at Kognitos' canonical: 'https://feeny.ai/job/software-engineer-intern-ai-native-fall-2026-kognitos-san-jose-thbenvsq75x8' type: 'job' last_seen: '2026-10-12' --- # Software Engineer Intern (AI-Native) — Fall 2026 at Kognitos - **Company:** Kognitos - **Location:** San Jose, CA / HQ - **Employment:** full-time - **Posted:** 2026-08-26 - **Last confirmed live:** 2026-10-12 - **Apply:** https://jobs.ashbyhq.com/kognitos/a3c5bd4c-f6fb-4eb0-b943-e0e1a1d878c5 ## Job description Software Engineer Intern (AI-Native) — Fall 2026 We’re looking for engineers who don’t just use AI tools — you build with them. At Kognitos, you’ll work on real product problems using tools like Claude Code, Cursor, and other AI-assisted workflows. You’ll ship fast, learn faster, and operate in a highly iterative environment alongside experienced engineers. This is not a “watch and learn” internship — you’ll be writing production code, contributing to core systems, and helping shape how we build. ## What You’ll Do - Build and ship features end-to-end with the engineering team - Use AI-native tooling (Claude, Cursor, etc.) to accelerate development workflows - Write clean, maintainable, and well-documented code - Participate in code reviews and technical discussions - Debug issues and improve system performance - Contribute to projects across AI, automation, and data systems - Move quickly, test ideas, and iterate in a fast-paced environment ## What We’re Looking For - Currently pursuing a degree in Computer Science or a related field (or equivalent experience) - Strong fundamentals in programming (Python, JavaScript, or similar) - Comfortable building with modern dev tools and workflows - Familiar with Git and collaborative development - Solid understanding of core CS concepts (data structures, algorithms, systems basics) - Strong problem-solving ability and curiosity - Clear communicator and team-oriented Bonus Points - Experience using AI coding tools (Claude Code, Cursor, Copilot, etc.) - Built projects using LLMs, APIs, or automation workflows - Familiarity with modern web stacks (React, Node, etc.) - Exposure to cloud platforms (AWS, GCP, Azure) - Prior internship, startup, or side project experience Final note You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. ## Equal opportunities provider Kognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. ## About Kognitos ## Company Overview - **One-liner**: Kognitos provides a hallucination-free, deterministic agentic AI automation platform that allows enterprises to automate mission-critical business processes using plain English, with full governance and auditability. - **Entity Type**: Private (backed by leading venture capital firms) - **Headquarters**: Mountain View, California, USA - **Founded**: 2020 - **Founders**: Binny Gill (former CTO at Nutanix) ## Core Business - **Primary industries**: Enterprise AI automation, business process automation, agentic AI - **Target customers**: Large enterprises (finance, supply chain, procurement, IT, healthcare) – B2B, Enterprise - **Mission / Purpose**: Deliver the world’s most trusted AI automation platform – secure, auditable, and hallucination-free, empowering enterprises to automate critical operations with complete confidence. ## Products & Services - **Kognitos Platform (Agentic AI Automation)**: A governed, production-ready platform where business users describe automation workflows in plain English. The patented neurosymbolic AI engine executes every rule deterministically (zero hallucinations), with real-time audit trails, exception handling that learns, and over 200 pre-built connectors to ERP, CRM, cloud, and legacy systems. - **Core Modules**: Natural Language Builder (no-code automation via chats, apps, document processing, living SOPs), Agent Manager (orchestration of governed agents), Knowledge Engineering (captures business variance and builds institutional memory). - **Deployment Options**: SaaS, customer VPC, or hybrid cloud. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed. - **Key Metric**: Total funding not publicly reported; backed by a strong syndicate of investors (see below). Customer results include a process generating **$5M/month in revenue** (up from $1.2M), **50,000+ monthly BoLs processed**, and **3,300 hours of manual work eliminated per year** for one client. - **Notable Investors / Partners**: Khosla Ventures, Clear Ventures, Fin Capital, Engineering Capital, plus strategic operators from Nutanix, Snowflake, and other enterprise companies. Partners include AWS, Azure, Google Cloud, Oracle, Salesforce, Epic, and many more. - **Growth Signals**: Named **ISG Buyers Guide Leader 2025**, **theCUBE Most Innovative AI Product 2026**, **HFS Hot Tech 2026**, **Gartner Hype Cycle Sample Vendor 2025**. Customer roster includes DISH Network, PepsiCo, Paysafe, Century Supply Chain, TTX, Norco, JBI, Builders FirstSource, and others. Headcount: ~100 employees (60 in product+tech) as per Built In. ## Competitive Advantages - **Hallucination-free by architecture**: Patented neurosymbolic AI executes deterministic business logic (not probabilistic guesses), critical for finance, healthcare, and compliance-heavy workflows. - **Plain English as an executable interface**: Business users can describe processes without code or flowcharts, collapsing time-to-value from months to days. - **Built-in governance and audit**: Every step is logged and auditable; SOC 2 Type II, HIPAA, GDPR, ISO 27001 compliant. - **Exception learning**: When unexpected events occur, the system handles them, asks for approval, and remembers the fix – continuously improving operations. - **Massive integration ecosystem**: 200+ pre-built connectors to major ERP/CRM/cloud platforms. ## Strategic Focus - Deepening enterprise adoption in finance, procurement, supply chain, and IT operations. - Scaling the platform’s ability to handle unstructured data (emails, PDFs, contracts) alongside structured records. - Expanding the “Knowledge Engineering” capability to turn organizational variance into a competitive moat. - Continuous investment in multi-model LLM support (Claude, Gemini, OpenAI, BYOM) without vendor lock-in. ## Why Work Here - **Culture**: Mission-driven, customer-obsessed, radical transparency, ownership mentality, and empathy. Every team member talks to customers. Emphasis on “Ship & Iterate” fast learning cycles. - **Work Environment**: Hybrid model – typically 3 days in-office at Mountain View, CA (HQ) or Bengaluru, India; remote US and Costa Rica roles available. Flexible hours with trust-based management. - **Perks & Values**: All employees own equity (“every person at Kognitos owns Kognitos”). Strong focus on integrity, humility, and passion. Teams are distributed across North America, Europe, and India. - **Engineering Culture**: Tackling novel problems at the intersection of NLP, deterministic execution, and enterprise scale. Tech stack includes modern AI/ML frameworks, cloud infrastructure, and robust backend systems. ## Sources 1. [kognitos.com](https://www.kognitos.com/) – Product overview, integrations, customer results, compliance 2. [kognitos.com/careers](https://www.kognitos.com/careers/) – Open positions, culture description 3. [kognitos.com/about-us](https://www.kognitos.com/about-us/) – Mission, vision, founder story, investor list, values 4. [builtin.com/company/kognitos](https://builtin.com/company/kognitos) – Employee count (100 total, 60 product+tech), office locations, hybrid policy, technology stack 5. [linkedin.com/company/kognitos](https://www.linkedin.com/company/kognitos) – Headquarters, industry, employee count verification ## Other roles at Kognitos - [Forward Deployed Engineer — Associate (Contract-to-Hire)](https://feeny.ai/job/forward-deployed-engineer-associate-contract-to-hire-kognitos-mountain-view-1fvjmdq7k64n) — Mountain View, CA - [Forward Deployed Engineer Intern (Mountain View)](https://feeny.ai/job/forward-deployed-engineer-intern-mountain-view-kognitos-mountain-view-e3xh95y3dqz4) — Mountain View, CA - [Business Development Manager – Global Capability Centers (India)](https://feeny.ai/job/business-development-manager-global-capability-centers-india-kognitos-bengaluru-fkt1whbxap8p) — Bengaluru, India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-kognitos-bengaluru-6yheys3t66s8) — Bengaluru, India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-kognitos-united-states-f2dg0yaw1y3p) — United States - [Enterprise Account Executive — Financial Services AI](https://feeny.ai/job/enterprise-account-executive-financial-services-ai-kognitos-united-states-xxsnvf1mkxh5) — United States