Company Description SvaraAI is an AI-powered outbound and revenue workspace . We bring everything reps need to go from signal → outreach → meeting in one place: Leads & Enrichment: consolidate contacts from sheets, forms, LinkedIn, and CRM; de-dupe and score. AI Personalization: context-aware first lines and replies tuned to your ICP and tone. Sequencing: email + LinkedIn steps with automatic follow-ups and smart throttling. Inbox & Analytics: shared conversations, pipeline health, deliverability and campaign insights. Connectors: HubSpot/Salesforce, Google Workspace, webhooks, and export APIs. Why SvaraAI One clean workspace instead of five tools. Human-sounding, high-precision copy (no spammy blasts). Built for small, focused teams—fast setup, transparent pricing, and strong privacy. Who we serve B2B startups, agencies, and founder-led teams that need repeatable outbound without heavy ops. What success looks like Higher reply rates, more qualified meetings, and clear visibility from first touch to booked call. Role Description This is a full-time online role for a Software Engineer Intern located in India. The Software Engineer Intern will assist in the development and maintenance of software applications. Day-to-day tasks include writing clean and efficient code, participating in code reviews, debugging and troubleshooting software issues, and collaborating with team members to design efficient solutions. The intern will also work on various projects that support back-end web development and software engineering initiatives. Qualifications A solid understanding of Computer Science fundamentals Skills in Software Development and Back-End Web Development Experience with Programming and Object-Oriented Programming (OOP) Excellent problem-solving and analytical skills Strong teamwork and communication abilities Enrolled in a Bachelor's or Master's degree program in Computer Science or a related field Previous internship or project experience in software development is a plus Note* Internship will not be paid for first 3 months, from 4th month salary will be paid after the internal assessment and according to the Internship payscale in India. Internship to Full-time employment is possible based on the performance during internship.
Full Stack Developer Internship (6 Months) – India About SvaraAI SvaraAI is an AI-powered outbound and revenue workspace. We bring everything reps need to go from signal → outreach → meeting in one place: Leads & Enrichment: consolidate contacts from sheets, forms, LinkedIn, and CRM; de-dupe and score. AI Personalization: context-aware first lines and replies tuned to your ICP and tone. Sequencing: email + LinkedIn steps with automatic follow-ups and smart throttling. Inbox & Analytics: shared conversations, pipeline health, deliverability and campaign insights. Connectors: HubSpot/Salesforce, Google Workspace, webhooks, and export APIs. Why SvaraAI One clean workspace instead of five tools. Human-sounding, high-precision copy (no spammy blasts). Built for small, focused teams—fast setup, transparent pricing, and strong privacy. Who we serve B2B startups, agencies, and founder-led teams that need repeatable outbound without heavy ops. What success looks like Higher reply rates, more qualified meetings, and clear visibility from first touch to booked call. Role Description We are hiring Full Stack Developer Interns for a 6-month internship program. Duration: 6 months Stipend: First 3 months unpaid, next 3 months paid (performance-based after internal assessment). Location: Remote (India) Tech Stack Required Frontend: Next.js, React.js, TailwindCSS Backend: Node.js, Express.js, MongoDB (MERN stack) Other Tools & Concepts: REST APIs, Webhooks, Authentication (JWT/OAuth/SSO), Role-Based Access Control (RBAC), State Management (Redux/Zustand), Git/GitHub, CI/CD, Caching, Testing (Jest/Playwright), and Integrations with third-party APIs (HubSpot, Salesforce, Stripe, LinkedIn, etc.) As a Full Stack Developer Intern at SvaraAI, you will work on building and scaling core product features across frontend, backend, admin panel, and integrations. You’ll collaborate with our engineering team to deliver production-grade code, following modern coding principles and best practices. What You’ll Work On (Summary) As a Full Stack Developer Intern at SvaraAI, you’ll get hands-on experience building end-to-end SaaS features across frontend, backend, and integrations. Frontend/Product Development: Implement design systems, authentication flows, campaign builder UI, shared inbox, personalization previews, dashboards, and accessibility improvements using Next.js, React.js, and TailwindCSS. Backend/API Development: Build and optimize APIs for leads, email sequencing, webhooks, metrics, caching, and connector SDKs. Work on performance tuning, rate limiting, and content management. Admin Panel: Contribute to user/org management, audit logs, billing, plan entitlements, quotas, and support tooling. Data & Integrations: Work with database schemas, imports/exports, SMTP/IMAP, HubSpot/Salesforce connectors, Stripe billing, enrichment APIs, and data retention pipelines. You’ll collaborate closely with the team to ship features that impact real users from lead management and personalization to analytics, billing, and integrations. Coding Principles We Follow KISS (Keep It Simple, Stupid) – simple solutions over unnecessary complexity. YAGNI (You Aren’t Gonna Need It) – build only what’s required. DRY (Don’t Repeat Yourself) – avoid duplication, maximize reuse. SOLID – modular, extensible, and maintainable code. Test Early, Test Often – reliability from day one. Qualifications Strong understanding of Computer Science fundamentals. Hands-on skills in MERN stack (MongoDB, Express.js, React.js, Node.js). Experience with Next.js & TailwindCSS. Good problem-solving and debugging skills. Strong teamwork and communication abilities. Currently pursuing or recently completed a Bachelor’s/Master’s in Computer Science or related field. Previous projects, internships, or GitHub contributions are a big plus. Hiring Process Application: Selected candidates will be contacted via LinkedIn message with a Google Form. Task Round: A time-limited coding task will be assigned. Submissions must be on time. Interview: Shortlisted candidates will be invited for an interview with our engineering team. Onboarding: Successful candidates will begin the internship program. What Success Looks Like Delivering high-quality, production-ready features across frontend & backend. Writing clean, efficient, and maintainable code. Increasing speed of product iterations while maintaining quality. Collaborating effectively with the team and learning at every step. If you’re passionate about building AI-powered products, excited to work on real-world SaaS challenges, and want to sharpen your skills as a Full Stack Developer, we’d love to hear from you!
AI/ML Engineer Internship (6 Months) – India About SvaraAI SvaraAI is an AI-powered outbound and revenue workspace. We bring everything reps need to go from signal → outreach → meeting in one place: Leads & Enrichment: consolidate contacts from sheets, forms, LinkedIn, and CRM; de-dupe and score. AI Personalization: context-aware first lines and replies tuned to your ICP and tone. Sequencing: email + LinkedIn steps with automatic follow-ups and smart throttling. Inbox & Analytics: shared conversations, pipeline health, deliverability, and campaign insights. Connectors: HubSpot/Salesforce, Google Workspace, webhooks, and export APIs. We’re replacing 5+ tools with one clean workspace, built for small, focused B2B teams that care about speed, precision, and privacy. Role Description We are hiring AI/ML Engineer Interns for a 6-month internship program. Duration: 6 months Stipend: First 3 months unpaid, next 3 months paid (performance-based after internal assessment). Location: Remote (India) As an AI/ML Engineer Intern at SvaraAI, you will work on building and improving core ML-powered features that directly impact how businesses do outbound sales. You’ll help design, implement, and optimize models for personalization, intent detection, scoring, and conversational AI — working closely with our engineering and product teams. Tech Stack Required Languages & Libraries: Python, PyTorch/TensorFlow, Scikit-learn, LightGBM, Hugging Face Transformers Data Handling: Pandas, NumPy, SQL, feature engineering, dataset curation/labeling ML/AI Concepts: NLP (classification, summarization, embeddings, sentiment), supervised/unsupervised learning, anomaly detection, heuristics + ML hybrids Deployment Tools: FastAPI/Flask, Docker, REST APIs, Git/GitHub, CI/CD pipelines Good to Have : Prompt engineering, vector databases (Pinecone/Weaviate/FAISS), experiment tracking (Weights & Biases, MLflow), LLM fine-tuning What You’ll Work On (Summary) As an AI/ML Engineer Intern at SvaraAI, you’ll get hands-on experience designing and deploying ML models for personalization, lead scoring, and conversational intelligence. Data Foundations: Data audit & labeling plan, intent features, training set prep Early Models: Scoring v0 (rule-based), reply classifier (fine-tune), baseline heuristics Generative AI: First-line generator prompts v1, assistive reply drafts, summarization & sentiment analysis of threads ML Advancements: Scoring v1 (LightGBM/logit), re-rank personalization, anomaly detection in delivery Lead Intelligence: Lead routing model v1, cold-start heuristics v2 Prompt & Safety Systems: Prompt library evaluations, guardrails for reliability You’ll collaborate with the team to ship models and AI-driven features that power personalization, engagement, and automation for real-world SaaS users. Coding & Research Principles We Follow KISS (Keep It Simple, Stupid) – start simple, improve iteratively. YAGNI (You Aren’t Gonna Need It) – avoid premature complexity. DRY (Don’t Repeat Yourself) – reusable pipelines & utilities. Reproducibility – experiments tracked, results repeatable. Test Early, Test Often – validate assumptions with metrics & benchmarks. Qualifications Strong understanding of Machine Learning and NLP fundamentals. Hands-on experience with Python ML ecosystem (scikit-learn, PyTorch/TensorFlow, Hugging Face). Familiarity with classification, regression, embeddings, and text generation models. Knowledge of data preprocessing, labeling, and feature engineering. Good problem-solving and debugging skills. Strong teamwork and communication abilities. Currently pursuing or recently completed a Bachelor’s/Master’s in Computer Science, AI/ML, or related field. Previous ML projects, internships, or GitHub contributions are a big plus. Hiring Process Application: Selected candidates will be contacted via LinkedIn message with a Google Form. Task Round: A time-limited ML/NLP coding task will be assigned. Submissions must be on time. Interview: Shortlisted candidates will be invited for an interview with our engineering team. Onboarding: Successful candidates will begin the internship program. What Success Looks Like Building scalable, well-documented ML pipelines. Delivering production-ready models that improve personalization & reply rates. Writing clean, efficient, and maintainable code. Collaborating effectively with engineers & product teams. Learning advanced ML techniques while shipping real impact. If you’re passionate about AI/ML, NLP, and LLM-powered applications, excited to apply your skills to real-world SaaS challenges, and want to sharpen your expertise in building production ML systems, we’d love to hear from you!