🌱 Job Opening: Junior Software Engineer (Fresher-Friendly) Location: Hyderabad (onsite) Team: Nova – India’s Emotionally Intelligent Dating App Type: Full-time | Entry-level Start Date: Immediate or within 2–3 weeks 💡 About Nova Nova is India’s first feel-first dating app — built to reduce ghosting, encourage respectful chats, and promote real emotional connection. We’re building an app that prioritizes emotional safety, soft UI, story-based profiles, and AI-powered kindness nudges. It’s like dating, but with more heart and less pressure. We’re now onboarding our MVP team , and we want someone hungry to learn and build alongside experienced developers and product leaders. 👩💻 What You’ll Do Help build the mobile-first frontend using Flutter or React Native Write clean, readable, and responsive UI code with attention to Nova’s soft, calming UX guidelines Work closely with backend engineers to integrate APIs (Firebase/Supabase) Participate in feature sprints like: Feel-First Mode (blurred photo profiles) Karma-based moderation system KindStart™ and Heart Check conversation flows Fix bugs, test features, and learn to deploy in a real-world production environment 🔧 Tech You’ll Use (Don’t worry — we’ll guide you) Frontend: Flutter / React Native Backend Integration: Python + Firebase Version Control: Git + GitHub Designs via Figma Optional: Python (for NLP safety engine), Mixpanel for analytics ✅ You Should Apply If You: Are a recent graduate or final-year student in CS/IT (or a self-taught dev with proof of work) Have built at least 1 solid app/project (college project, hackathon, or personal work) Know the basics of mobile development (Flutter or React Native) Are emotionally aware, love good design, and care about how people feel when using your app Want to grow fast by working on a real product from Day 1 🌟 Bonus If You: Know how to use Firebase / Supabase Are interested in psychology, design thinking, or ethical tech Have worked on apps related to community, dating, wellness, or productivity ❤️ What You’ll Get Mentorship from experienced developers (7–15 yrs exp) Credit on a national-level app with purpose Access to product brainstorms, safety AI discussions, and startup visioning A chance to shape the future of online relationships — with tech that feels human Monthly stipend + certificate + job placement possibility based on performance 📩 How to Apply Send your resume or project link (GitHub, portfolio, Figma, or a short Loom video intro) to: novadatingapp9@gmail.com Subject: Fresher Dev – Nova App Let us know why Nova’s mission excites you. Show more Show less
🚀 Job Title: Backend Engineer – Python (Fresher Friendly) Location: Hyderabad, India Type: Full-time | In-office / Hybrid Experience: 0–2 years 💡 About Nova Nova is India’s first vibe-first , emotionally intelligent dating app for Gen Z and Millennials. We don’t do mindless swipes. We build respectful, meaningful, and calm digital spaces for people to connect with emotional clarity, consent, and kindness — powered by smart AI. 🛠 What You’ll Do Build, maintain, and optimize APIs and backend services that power our core dating experience (matching, messaging, nudges). Implement features like NovaScore™ , Red Flag Detection , Karma Reputation System , and Engagement Engine using clean Python code. Collaborate with frontend, design, and AI teams to create emotionally safe and responsive user flows. Work with modern cloud backends (Firebase, Supabase, or PostgreSQL-based stacks). Integrate AI services into the backend for emotional tone analysis, red flag detection, and match recommendations. Write scalable code for real-time chat, behavioral logging, and user safety controls. 💻 Tech Stack Primary Language: Python (FastAPI, Django) Database: Firebase Firestore / PostgreSQL Cloud Services: Supabase / Google Cloud Platform / Firebase AI/ML Integration: NLP APIs, transformer models (preferred but not required) Tools: Git, Docker, REST APIs, Firebase Functions 🧠 Who We’re Looking For Fresh graduates or early-career engineers with solid Python fundamentals Passionate about emotionally aware and ethical tech Curious about AI and how it can support mental well-being and human connection Eager to learn and contribute to a small, fast-moving, impact-focused team Comfortable with debugging, taking ownership, and shipping features quickly 🌱 Bonus (but not mandatory) Built or contributed to a personal project using Python backend Exposure to AI/NLP models or Firebase services Understanding of RESTful API architecture and security best practices 💖 What You’ll Love Be part of a startup rewriting the rules of dating in India Build features that matter — real impact on user emotions and well-being Learn fast in a collaborative, user-obsessed team Work on futuristic AI tools to promote emotional safety and consent Office snacks + chai breaks + real banter (we mean it!) 📩 How to Apply Send us a short note with: What excites you about Nova One Python project you’re proud of (can be a GitHub link or description) Your resume Email: novadatingapp9@gmail.com Subject: Application – Backend Engineer – Nova Show more Show less
About Nova: Nova is building AI teammates that help businesses protect revenue, prevent invisible losses, and free teams from repetitive work. We focus on high-impact areas like reconciliations, contract reviews, and compliance tracking; turning manual tasks into ROI-driven automation that empowers people to do their best work. About the role: We’re looking for a Product Engineer II - Integrations who can rapidly build and ship integrations between Nova and external systems. Some integrations will be through MCP (Model Context Protocol) , others via APIs, SDKs, or custom connectors ; the common expectation is speed and reliability. This role is all about fast turnaround : taking an integration spec and turning it into a working connector in days, not weeks. You’ll collaborate closely with product and ML teams to make sure Nova’s AI teammates can access the right data and trigger the right actions across Finance & Legal systems. What you will work on: Build and maintain MCP-based connectors so Nova’s agents can discover and integrate with external systems. Develop API/SDK-based integrations with enterprise tools (e.g., accounting, ERP, CLMs, compliance systems). Handle both structured (databases, APIs) and unstructured (documents, filings, emails) data sources. Write reliable, production-ready code that can be deployed and monitored quickly. Ensure integrations include proper logging, retries, error handling, and monitoring . Collaborate with ML and backend engineers to make integrations seamless within Nova’s workflows. Stay up to speed with new SaaS APIs, Finance/Legal/Tax tools , and propose which integrations we should build next. What we are looking for: 3–4 years of experience as a Software / Product Engineer working on integrations or backend systems. Strong with Node.js/TypeScript and/or Python , REST/GraphQL APIs. Experience building connectors to SaaS products, enterprise APIs, or third-party SDKs. Comfortable with authentication flows (OAuth2, JWT, API keys). Ability to work with Docker/Kubernetes and deploy to AWS/GCP . You move fast: you’ve built end-to-end integrations in days, not months. Bonus: Familiarity with MCP , event-driven systems, or finance/legal/tax domain APIs. What you will get: A chance to build from 0 to 1 the AI backbone of a product targeting a $100M+ ARR opportunity. End-to-end ownership and visibility, your code will run in production, not in notebooks. A front-row seat to shape how agentic AI gets applied to real-world, high-stakes problems.
About Nova: Nova is building AI teammates that help businesses protect revenue, prevent invisible losses, and free teams from repetitive work. We focus on high-impact areas like reconciliations, contract reviews, and compliance tracking; turning manual tasks into ROI-driven automation that empowers people to do their best work. About the role: We’re looking for a Product Engineer III – Backend who is outstanding at building highly scalable, blazing-fast APIs . You’ll be responsible for designing and implementing backend systems that serve as the foundation for Nova’s AI teammates. This role demands an architectural mindset : designing APIs and services that aren’t just functional, but performant, resilient, and built to handle massive scale. While Node.js/TypeScript is our core stack, Python experience is a strong advantage as Nova’s ML components increasingly interact with backend systems. What you will work on: Design and build scalable APIs in Node.js/TypeScript (Fastify / NestJS / Express) with performance at the core. Model and optimize data in PostgreSQL Implement queuing and streaming systems (Kafka, NATS, RabbitMQ, or equivalents) to enable reliable event-driven workflows. Introduce caching systems (Redis, Memcached, or similar) to deliver low-latency, high-throughput APIs. Drive API architecture for high-scale use cases — multi-tenant workloads, real-time processing, and enterprise integrations. Build robust CI/CD pipelines and automate deployments to AWS/GCP with zero downtime. Ensure observability and reliability : metrics, tracing, logging, and proactive alerting. Work closely with ML and frontend teams to expose backend capabilities cleanly and efficiently. Provide technical mentorship to Product Engineer I/II teammates and influence best practices. What we are looking for: 4–6 years of backend engineering experience, with a proven track record of designing APIs for scale . Deep expertise in Node.js + TypeScript ; strong grasp of async patterns and modern frameworks. Solid experience with PostgreSQL (schema design, performance tuning, transactions) and at least one caching system (Redis/Memcached). Familiarity with queuing/streaming platforms (Kafka/NATS/RabbitMQ). Bonus: experience with Python , especially for ML-related integrations. Strong fundamentals in distributed systems, concurrency, and API performance tuning. Hands-on with Docker, Kubernetes, AWS/GCP , and CI/CD workflows. You don’t just build APIs; you design systems that stay fast, reliable, and cost-efficient at scale. What you will get: A chance to build from 0 to 1 the AI backbone of a product targeting a $100M+ ARR opportunity. End-to-end ownership and visibility, your code will run in production, not in notebooks. A front-row seat to shape how agentic AI gets applied to real-world, high-stakes problems.
About Nova: Nova is building AI teammates that help businesses protect revenue, prevent invisible losses, and free teams from repetitive work. We focus on high-impact areas like reconciliations, contract reviews, and compliance tracking; turning manual tasks into ROI-driven automation that empowers people to do their best work. About the role: We’re looking for an experienced Machine Learning Engineer (MLE) to lead our ML efforts end-to-end . From architecting agentic AI workflows to optimizing model pipelines in production. You’ll own how our AI backbone scales, collaborate with backend and product teams, and ensure our agents are not just powerful but also reliable, cost-efficient, and explainable. This is a hands-on role : you’ll build, but also guide, mentor, and influence the ML direction at Nova. What you will work on: Architect and scale ML pipelines powering Nova’s AI teammates. Implement multi-LLM, multi-agent orchestration (e.g., LangGraph or equivalents) with routing, chaining, retries, tool-use, guardrails, and persisted state . Design and optimize RAG pipelines (hierarchical chunking, embeddings, hybrid search, re-ranking). Build and maintain connectors (via MCP and other frameworks) so agents can reliably discover and integrate with external systems Adapt and fine-tune models for Finance, Legal, and Tax workflows (e.g., extraction, summarization, anomaly detection). Deploy and monitor models in production using APIs, tracing, metrics, and balancing cost with performance. Create a culture where ML is built for production from day one — fast experiments that are measurable, reproducible, and ready to scale. What we are looking for: 4–5 years as an ML Engineer / Applied Scientist working in production environments. Strong Python (FastAPI/Flask), PyTorch/TensorFlow , and data pipeline expertise. Deep knowledge of LLMs, RAG systems, embeddings, and vector DBs (PGVector/Postgres preferred). Experience working with multiple LLM providers (OpenAI, Anthropic, Google, open-source models) and balancing cost, latency, and quality. Comfortable with Docker, Kubernetes, CI/CD , and deploying to AWS/GCP . Bonus: experience with LangGraph/LangChain, vLLM/Ray, LLM evaluation frameworks, or event-driven architectures. What you will get: A chance to build from 0 to 1 the AI backbone of a product targeting a $100M+ ARR opportunity. End-to-end ownership and visibility, your code will run in production, not in notebooks. A front-row seat to shape how agentic AI gets applied to real-world, high-stakes problems.