Genios AI

5 Job openings at Genios AI
Frontend Engineer (Member of Technical Staff) Bengaluru,Karnataka,India 3 years None Not disclosed Remote Full Time

Why This Matters Every day, financial professionals waste countless hours on outdated, clunky software. We’re changing that reality, and your code will directly impact how people interact with financial systems worldwide. This isn’t just another tech job – it’s a chance to define the future of an entire industry. Our Promise We’ll give you the freedom to create amazing things, surround you with brilliant minds, and make sure your work has real impact. No bureaucracy, no pointless meetings – just the chance to build something revolutionary while working with some of the smartest people you’ll ever meet. Are you ready to rewrite the rules of finance? Let’s talk. JOIN THE FINANCIAL REVOLUTION! Not Your Average Tech Gig We’re not just building another app – we’re completely reinventing how financial workflows function in the digital age. We’re pioneering the future of finance, one brilliant feature at a time, by creating technology that transforms how financial professionals work. What You’ll Actually Do Here Architect the Genios – Transform complex financial nightmares into beautiful, intuitive user experiences that make our customers say “how did we ever live without this?” Wield React Like a Superpower – Your code doesn’t just work, it sings. You’ll craft lightning-fast, pixel-perfect interfaces that make financial data dance. Own Your Creations – From whiteboard sketches to production deployment, you’ll guide features through their entire lifecycle and celebrate when users fall in love with them. Shape Our Tech DNA – Your voice matters in every technical decision as we build scalable standards that will power our growth. Bridge Worlds – Translate between tech-speak and human-speak, making complex concepts clear to everyone from engineers to executives. Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings. Who You Are Battle-Tested Frontend Warrior – 3+ years in the SPA trenches, with the React scars to prove it. JavaScript/TypeScript Fluency – You write modern, idiomatic JavaScript and TypeScript, and know when to reach for each. ES6+ features and strong typing aren’t just tools – they’re part of your craft. Full-Stack Curious – You live in the frontend world but understand how the whole machine works, from API to pixel. Data Visualization Maestro – You can turn boring numbers into compelling visual stories using Chart.js, Plotly.js, or similar libraries. Problem Solver Extraordinaire – You see impossible UX challenges as your personal playground. Git Wizard – Your commit history tells a story of thoughtful, well-organized development. Bonus Points For OpenAPI Expertise – You appreciate well-documented API schemas that make integration a breeze. State Machine Thinking – You approach complex UI flows with the elegant precision of finite state machines. Backend Dabbling – Experience with Python and FastAPI means you can jump the fence when needed. AI Enthusiasm – You’re fascinated by LLMs and agent systems, and can see their potential in financial applications.

Frontend Engineer with Full-stack Experience bengaluru,karnataka,india 2 years None Not disclosed On-site Full Time

Why This Matters Every day, financial professionals waste countless hours on outdated, clunky software. We’re changing that reality, and your code will directly impact how people interact with financial systems worldwide. This isn’t just another tech job – it’s a chance to define the future of an entire industry. Our Promise We’ll give you the freedom to create amazing things, surround you with brilliant minds, and make sure your work has real impact. No bureaucracy, no pointless meetings – just the chance to build something revolutionary while working with some of the smartest people you’ll ever meet. Are you ready to rewrite the rules of finance? Let’s talk. JOIN THE FINANCIAL REVOLUTION! Not Your Average Tech Gig. We’re not just building another app – we’re completely reinventing how financial workflows function in the digital age. We’re pioneering the future of finance, one brilliant feature at a time, by creating technology that transforms how financial professionals work. What You'll Actually Do Here Architect Financial Genios – Transform complex financial nightmares into beautiful, intuitive user experiences that make our customers say "how did we ever live without this?" Wield React Like a Superpower – You'll craft lightning-fast, pixel-perfect interfaces with smooth animations using Framer Motion that make financial data dance. Master Data Visualization – Turn boring numbers into compelling visual stories that help users understand complex financial and AI-driven insights. Own Your Creations – From whiteboard sketches to production deployment, you'll guide features through their entire lifecycle and celebrate when users fall in love with them. Shape Our Tech DNA – Your voice matters in every technical decision as we build scalable, responsive standards that will power our growth. Bridge Frontend & Backend Worlds – Collaborate seamlessly with our Python/ML stack while staying focused on creating exceptional user experiences. Who You Are Required Skills (Must Have) Battle-Tested Frontend Warrior – 2-3 years professional React development experience, preferably in AI/ML or early-stage startups JavaScript/TypeScript Fluency – Strong expertise in modern JavaScript and TypeScript, with ES6+ features and strong typing as part of your craft Animation & Styling Master – Proficiency with Framer Motion for animations and micro-interactions, plus Tailwind CSS for utility-first styling Data Visualization Maestro – Experience with Chart.js, Recharts, or similar libraries to turn data into compelling visual stories State Management Pro – Experience with React Query or similar server state management solutions Mobile-First Developer – Strong responsive design and mobile-first development principles Full-Stack Aware – Basic Python knowledge (ability to read and understand code) to bridge frontend and backend effectively Startup Veteran – Must have previous experience working in early-stage startup environments Preferred Skills (Nice To Have) AI/ML Startup Background – Direct experience in AI/ML startups or exposure to AI/ML product development Real-Time Integration – WebSocket integration experience for real-time data handling Advanced Graphics – Canvas/WebGL graphics experience (Konva, Three.js) for complex visualizations Enterprise Tooling – Monorepo experience (Turborepo, Lerna, Nx) and Storybook for component documentation State Machine Thinking – Experience with XState or similar state management approaches Backend Dabbling – FastAPI or Python web framework knowledge Database Basics – Basic MySQL knowledge for data-driven applications Cloud Experience – AWS services experience (S3, CloudFront) Ideal Candidate Profile AI/ML Product Experience – Background building user-facing AI features or working with AI/ML workflows and their frontend integration Complex Data Specialist – Experience with sophisticated data visualization and real-time interfaces Startup DNA – Comfortable working in fast-paced startup environments where you can make immediate impact Technical Product Focus – Previous experience building interfaces for technical or data-heavy products Problem Solver Extraordinaire – You see impossible UX challenges as your personal playground and can translate complex AI/ML concepts into intuitive user experiences Perks Competitive compensation Unlimited PTO Hybrid working model AI Assistants for work (Coding, General Purpose)

Frontend Engineer with Full-stack Experience bengaluru,karnataka,india 2 - 4 years INR Not disclosed On-site Full Time

Why This Matters Every day, financial professionals waste countless hours on outdated, clunky software. We're changing that reality, and your code will directly impact how people interact with financial systems worldwide. This isn't just another tech job it's a chance to define the future of an entire industry. Our Promise We'll give you the freedom to create amazing things, surround you with brilliant minds, and make sure your work has real impact. No bureaucracy, no pointless meetings just the chance to build something revolutionary while working with some of the smartest people you'll ever meet. Are you ready to rewrite the rules of finance Let's talk. JOIN THE FINANCIAL REVOLUTION! Not Your Average Tech Gig. We're not just building another app we're completely reinventing how financial workflows function in the digital age. We're pioneering the future of finance, one brilliant feature at a time, by creating technology that transforms how financial professionals work. What You'll Actually Do Here Architect Financial Genios Transform complex financial nightmares into beautiful, intuitive user experiences that make our customers say how did we ever live without this Wield React Like a Superpower You'll craft lightning-fast, pixel-perfect interfaces with smooth animations using Framer Motion that make financial data dance. Master Data Visualization Turn boring numbers into compelling visual stories that help users understand complex financial and AI-driven insights. Own Your Creations From whiteboard sketches to production deployment, you'll guide features through their entire lifecycle and celebrate when users fall in love with them. Shape Our Tech DNA Your voice matters in every technical decision as we build scalable, responsive standards that will power our growth. Bridge Frontend & Backend Worlds Collaborate seamlessly with our Python/ML stack while staying focused on creating exceptional user experiences. Who You Are Required Skills (Must Have) Battle-Tested Frontend Warrior 2-3 years professional React development experience, preferably in AI/ML or early-stage startups JavaScript/TypeScript Fluency Strong expertise in modern JavaScript and TypeScript, with ES6+ features and strong typing as part of your craft Animation & Styling Master Proficiency with Framer Motion for animations and micro-interactions, plus Tailwind CSS for utility-first styling Data Visualization Maestro Experience with Chart.js, Recharts, or similar libraries to turn data into compelling visual stories State Management Pro Experience with React Query or similar server state management solutions Mobile-First Developer Strong responsive design and mobile-first development principles Full-Stack Aware Basic Python knowledge (ability to read and understand code) to bridge frontend and backend effectively Startup Veteran Must have previous experience working in early-stage startup environments Preferred Skills (Nice To Have) AI/ML Startup Background Direct experience in AI/ML startups or exposure to AI/ML product development Real-Time Integration WebSocket integration experience for real-time data handling Advanced Graphics Canvas/WebGL graphics experience (Konva, Three.js) for complex visualizations Enterprise Tooling Monorepo experience (Turborepo, Lerna, Nx) and Storybook for component documentation State Machine Thinking Experience with XState or similar state management approaches Backend Dabbling FastAPI or Python web framework knowledge Database Basics Basic MySQL knowledge for data-driven applications Cloud Experience AWS services experience (S3, CloudFront) Ideal Candidate Profile AI/ML Product Experience Background building user-facing AI features or working with AI/ML workflows and their frontend integration Complex Data Specialist Experience with sophisticated data visualization and real-time interfaces Startup DNA Comfortable working in fast-paced startup environments where you can make immediate impact Technical Product Focus Previous experience building interfaces for technical or data-heavy products Problem Solver Extraordinaire You see impossible UX challenges as your personal playground and can translate complex AI/ML concepts into intuitive user experiences Perks Competitive compensation Unlimited PTO Hybrid working model AI Assistants for work (Coding, General Purpose)

Applied AI Engineering bengaluru,karnataka,india 3 - 5 years INR Not disclosed Remote Full Time

About Us We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for an Applied AI Engineer who is first and foremost a strong software engineer, with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use. As an Applied AI Engineer, you'll focus on making minimum loveable products powered by AIbuilding scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation. We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority. Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings. Key Responsibilities Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems. Integrate model training, evaluation, deployment, and monitoring into product workflows Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools. Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning. Benchmark models, develop evaluation frameworks, and improve reliability and auditability. Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments. Work across the stackfrom backend systems to product SDKsto deliver AI features directly into user-facing applications. Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind. Own critical product components and take responsibility for delivering robust, production-grade features. Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems. Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement. Qualifications BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience. Strong software engineering background with proven experience shipping production systems. 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions. Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC. Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API. Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems. Experience building and scaling backend platforms, APIs, and microservices. Comfortable working full-stack, from model APIs down to user-facing integrations. Have shipped AI features that users actually use; production experience over theoretical knowledge. Track record of building reliable products with strong attention to detail and usability. Autonomous and excited about taking ownership over major initiatives. Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle. Bonus Points Production experience with LLMs (APIs or custom implementations) at meaningful scale. Experience building agentic systems or LLM-enabled products. Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks. Experience with performance optimization and high-scale document indexing systems. Prior startup experience, grit, and ability to thrive in fast-moving environments. Familiarity with databases and comfortable writing SQL queries. Perks Competitive Compensation Unlimited PTO AI Assistants for work (Coding, General Purpose, etc.)

Applied AI Engineering bengaluru,karnataka,india 3 - 5 years INR Not disclosed Remote Full Time

About Us We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for an Applied AI Engineer who is first and foremost a strong software engineer, with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use. As an Applied AI Engineer, you'll focus on making minimum loveable products powered by AIbuilding scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation. We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority. Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings. Key Responsibilities Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems. Integrate model training, evaluation, deployment, and monitoring into product workflows Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools. Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning. Benchmark models, develop evaluation frameworks, and improve reliability and auditability. Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments. Work across the stackfrom backend systems to product SDKsto deliver AI features directly into user-facing applications. Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind. Own critical product components and take responsibility for delivering robust, production-grade features. Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems. Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement. Qualifications BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience. Strong software engineering background with proven experience shipping production systems. 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions. Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC. Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API. Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems. Experience building and scaling backend platforms, APIs, and microservices. Comfortable working full-stack, from model APIs down to user-facing integrations. Have shipped AI features that users actually use; production experience over theoretical knowledge. Track record of building reliable products with strong attention to detail and usability. Autonomous and excited about taking ownership over major initiatives. Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle. Bonus Points Production experience with LLMs (APIs or custom implementations) at meaningful scale. Experience building agentic systems or LLM-enabled products. Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks. Experience with performance optimization and high-scale document indexing systems. Prior startup experience, grit, and ability to thrive in fast-moving environments. Familiarity with databases and comfortable writing SQL queries. Perks Competitive Compensation Unlimited PTO AI Assistants for work (Coding, General Purpose, etc.)