Company Description Fractics is a next-generation consulting and execution firm that scales enterprises with proprietary AI products and custom solutions. Combining first-principles thinking and outcome-driven delivery, we assist ambitious enterprises in rethinking foundations, scaling innovative products, and solving complex organizational challenges from strategy to live deployments. Our services include AI strategy and transformation, AI product innovation, data and decision systems, marketing and operations acceleration, AI governance, and organizational design for AI readiness. At Fractics, we help enterprises reimagine how they decide, operate, and scale with AI. Role Description This is a full-time, on-site role for a Back End Developer located in Gurugram. The Back End Developer will be responsible for designing and developing server-side logic, defining and maintaining databases, ensuring high performance and responsiveness, and integrating front-end elements built by co-workers. Day-to-day tasks will include implementing security and data protection, optimizing applications for speed and scalability, and collaborating with front-end developers to integrate user-facing elements with server-side logic. Responsibilities · Refactor, debug, and optimize Flask backend for speed, reliability, and scale (APIs, DB, caching, jobs) · Implement secure auth (JWT/OAuth2), RBAC, and input validation · Set up structured logging and monitoring for visibility · Optimize SQL, ORM, and add caching or async as needed · Improve test coverage, CI pipelines, and API contract tests · Collaborate with AI and web teams; expose robust APIs & SDKs · Document code, architecture, and best practices · Learn/adapt to other backends (Node.js, Next.js API routes, TypeScript, vector DBs, serverless, etc.) Requirements • 2 years of experience with Python (Flask/FastAPI), Node.js, Typescript and API development • Proficient in SQL/PostgreSQL performance & schema design • Refactoring skills: profiling, simplifying, and optimizing code • Security and CI/CD best practices; Docker comfort • Testing discipline (unit/integration/contract) • Good written and verbal communication, ownership mindset • Willingness and aptitude to learn new backends and AI integrations Desired Tech Stack • Python (Flask/FastAPI) • Node.js/TypeScript (Express/Next.js APIs) • PostgreSQL/Redis/vector DBs • pytest, Docker, CI/CD, logging tools Nice to Have • Redis, message queues, or scaling experience • Familiarity with vector databases, RAG, AI/ML APIs • Cloud and DevOps exposure (Docker, CI/CD, monitoring)
About Fractics Fractics builds production-grade Agentic RAG and LLM solutions that power enterprise automation and modern customer experiences. As an intern, you’ll work with real datasets, real systems, and real deployments-not toy academic projects. This role is ideal for someone who wants to learn the full lifecycle of building and shipping AI systems. Experience or interest in recommender systems is a strong plus. What You’ll Work On Designing and improving Agentic RAG pipelines (chunking, embeddings, retrieval, reranking) Cleaning, structuring, and enriching enterprise data for AI workflows Reading and implementing cutting-edge AI research Building LLM workflows, evaluators, and orchestration logic Working with vector databases like Pinecone, Chroma, and MongoDB Atlas Search Experimenting with embeddings, transformers, and semantic search Deploying ML components using FastAPI, Docker, and cloud environments Running experiments to improve grounding, reduce hallucinations, and optimize latency Exploring advanced systems such as modern recommender engines integrated with agentic AI What We’re Looking For Strong interest in Machine Learning, NLP, and LLM applications Solid Python skills and familiarity with ML/NLP libraries (HuggingFace, Scikit-Learn, PyTorch/TensorFlow, LlamaIndex) Understanding of embeddings, tokenization, and vector search fundamentals Exposure to RAG workflows or frameworks like LangChain or LlamaIndex (personal or academic projects count) Curiosity to learn full-stack ML engineering from experimentation to deployment Bonus points for: Experience with FastAPI or backend fundamentals Knowledge graphs or semantic search Docker or basic DevOps familiarity An “agentic builder” mindset: self-review, iterative improvement, and comfort with tools like GitHub Copilot or Antigravity What You’ll Get Hands-on experience building production Agentic AI systems for enterprises Mentorship from engineers across ML, backend, and automation domains Ownership and the opportunity to contribute directly to live deployments A fast-paced learning environment designed for growth Strong career outcomes including potential full-time conversion based on performance
About the Role We're looking for a creative and user-focused Product Design Intern to join our team and help shape the future of AI products. In this role, you'll work on designing intuitive, accessible experiences hat make complex AI capabilities simple and delightful for users. You'll collaborate closely with product managers, engineers, and other designers to translate ideas into compelling prototypes and final designs. What you're expected to do? • Conduct user research, interviews, and usability testing to understand user needs and pain points with AI products • Create wireframes, prototypes, and high-fidelity mockups using Figma and other design tools • Design user interfaces and user experiences that make AI features intuitive and accessible to diverse users • Collaborate with product and engineering teams to ensure design feasibility and successful implementation • Iterate on designs based on user feedback, analytics, and testing results • Contribute to and maintain design systems and component libraries • Research competitor products and design trends in AI/SaaS industry • Participate in design reviews and provide constructive feedback to peers • Create design specifications and handoff documentation for engineers • Present design work and insights to stakeholders and gather feedback Who makes you the right fit? • Strong portfolio demonstrating design thinking, visual design skills, and user-centered design principles • Proficiency with Figma or similar design tools (Sketch) • Understanding of responsive design, web and mobile design best practices • Excellent communication and collaboration skills • Strong problem-solving abilities and attention to detail • Curiosity about AI/ML concepts and emerging technologies • Portfolio link or examples of past design work required
The Mission At Fractics , we aren't just building web apps; we are engineering the nervous system for next-gen AI. From hybrid RAG pipelines to enterprise-grade automation, we build the digital infrastructure that powers modern customer experiences. We are an engineering-first culture looking for a builder who can architect, ship, and scale. The Role You will own the stack from top to bottom. You won’t just be ticket-taking; you will be architecting scalable backend services, optimizing complex data layers, and crafting high-performance frontends that serve real-world AI deployments. The Tech Stack & Responsibilities Backend Architecture: Architect robust services using Python (FastAPI/Django) or Node.js (Express). You know how to choose the right tool for the job. Frontend Performance: Build slick, responsive interfaces using React and Next.js . You are a master of rendering strategies, knowing exactly when to utilize CSR vs. SSR. Data & Logic: Design efficient schemas and write optimized queries for PostgreSQL and MongoDB . DevOps & Scale: Take your code to production using Docker, CI/CD pipelines, and cloud infrastructure. Who You Are Polyglot: You have strong experience in Python and Node.js , and you aren't afraid to dive into new frameworks. Architectural Thinker: You understand API design, state management, and the nuances of hydration and routing pipelines. Builder: You write clean, maintainable code and care about the "why" behind the logic. Bonus: You’ve dabbled in WebSockets, AI/LLM integrations, or real-time systems.
About the Role We're looking for a creative and user-focused Product Design Intern to join our team and help shape the future of AI products. In this role, you'll work on designing intuitive, accessible experiences hat make complex AI capabilities simple and delightful for users. You'll collaborate closely with product managers, engineers, and other designers to translate ideas into compelling prototypes and final designs. What you're expected to do Conduct user research, interviews, and usability testing to understand user needs and pain points with AI products Create wireframes, prototypes, and high-fidelity mockups using Figma and other design tools Design user interfaces and user experiences that make AI features intuitive and accessible to diverse users Collaborate with product and engineering teams to ensure design feasibility and successful implementation Iterate on designs based on user feedback, analytics, and testing results Contribute to and maintain design systems and component libraries Research competitor products and design trends in AI/SaaS industry Participate in design reviews and provide constructive feedback to peers Create design specifications and handoff documentation for engineers Present design work and insights to stakeholders and gather feedback Who makes you the right fit Strong portfolio demonstrating design thinking, visual design skills, and user-centered design principles Proficiency with Figma or similar design tools (Sketch) Understanding of responsive design, web and mobile design best practices Excellent communication and collaboration skills Strong problem-solving abilities and attention to detail Curiosity about AI/ML concepts and emerging technologies Portfolio link or examples of past design work required