Software Engineering Intern

The interview process at Sanas typically involves three rounds: technical interview, technical interview, and HR interview. The technical interviews focus on assessing the candidate's programming skills, data structures, and algorithms. The HR interview is based on the company's knowledge and assesses the candidate's fit with the company culture. It's essential to be prepared for the technical interviews by practicing coding skills and solving problems on platforms like LeetCode.

Sanas has a design-minded product engineering culture to build and ship cutting-edge AI models and experiences — entirely in-house. The company provides a growth-oriented environment with opportunities for professional growth and development. Sanas prioritizes work-life balance and employee well-being.

Pursuing a BS/MS in Computer Science, Electrical Engineering, Data Science, or related field (or equivalent experience) with a solid programming background in at least one of: Python, Go, or TypeScript/React. Comfort with APIs, data structures, and debugging. Curiosity about distributed systems, AI products, or data-heavy backends. Clear written communication (short notes, PRs, tickets).

Round 1: Technical Interview → Round 2: Technical Interview → Round 3: HR (based on company knowledge)

Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more. Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language. Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences — entirely in-house. Sanas is a 130 person team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication. If you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you. About the role We are hiring four Software Engineering Interns. Each intern will have a primary track, with shared onboarding on the Speech Intelligence platform so everyone understands how calls move from desktop → Portal → SCI → insights. This internship is a four-month, onsite opportunity at our Bangalore location. Key Responsibilities - Pursuing a BS/MS in Computer Science, Electrical Engineering, Data Science, or related field (or equivalent experience) - Solid programming in at least one of: Python, Go, or TypeScript/React - Comfort with APIs, data structures, and debugging - Curiosity about distributed systems, AI products, or data-heavy backends - Clear written communication (short notes, PRs, tickets) - Mentorship from engineers shipping production SI and Portal features - Ownership of scoped tickets end-to-end (design → code → test → review) - Exposure to real production incidents, metrics, and customer-facing reliability - Practice writing technical notes the way this team documents issues and architecture Tech Stack - Python, Go, TypeScript/React - APIs, data structures, debugging - Distributed systems, AI products, data-heavy backends - Message queues (Kafka), Redis, SQL, or analytics DBs (ClickHouse a plus) - LLM prompting / evaluation, regex NLP, or information extraction - Cloud basics (AWS S3, observability tools) Growth Path - Ownership of scoped tickets end-to-end (design → code → test → review) - Exposure to real production incidents, metrics, and customer-facing reliability - Practice writing technical notes the way this team documents issues and architecture Why Join This Company - Sanas is a well-suited place for you if you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI.