Role: Software Engineer Intern (React + PHP) Location: Bengaluru (in-office) Stipend: ₹30,000 - ₹40,000 per month About TechKareer TechKareer is the talent partner for venture-backed startups across USA and India. We build tools that help founders hire faster and smarter, while keeping engineering at the heart of everything we do. What you’ll do Ship front-end features in React + TypeScript for our job-matching platform and internal tools. Own REST/GraphQL endpoints in PHP (Laravel). Collaborate with design and product to turn Figma files into pixel-perfect experiences. Improve performance, accessibility, and test coverage across the stack. Dip into mobile development i.e. React Native or Flutter What we’re looking for Must-haves Solid React + TypeScript fundamentals Working knowledge of PHP (Laravel / Symfony) Understanding of HTML, CSS, modern JS tooling Clear, concise communication Nice-to-haves React Native / Flutter experience Contributions to OSS or personal projects Familiarity with CI/CD, Docker Basic grasp of SQL & REST conventions Show more Show less

Job Title: Lead Backend Engineer Location: Remote Employment Type: Full-time About the Role We're looking for a Backend Engineer with familiarity with front end tech to join our fast-growing engineering team. You'll play a key role in building and scaling the core infrastructure powering our AI agents—from data ingestion and document processing to audit logic and integration pipelines. You’ll work closely with our founders to ship production-grade systems that support high-volume freight workflows and power real-time financial decision-making. What You’ll Do 👉🏼 Design and build scalable backend systems to support AI-driven invoice and document processing 👉🏼 Integrate with freight industry systems—TMSs, FMS, factoring portals, and ERPs 👉🏼 Develop APIs, data pipelines, and audit engines that drive automation 👉🏼 Collaborate with AI/ML teams to productionize model outputs 👉🏼 Implement observability, performance monitoring, and logging across services 👉🏼 Help shape engineering best practices in a fast-paced, early-stage environment 👉🏼 Make frontend updates as necessary What We’re Looking For 👉🏼 5+ years experience building backend systems in production 👉🏼 Strong programming skills in Python, Node.js, or Flask 👉🏼 Deep understanding of REST APIs, microservices, and event-driven architectures 👉🏼 Hands-on experience with PostgreSQL, MongoDB, or other SQL/NoSQL systems 👉🏼 Comfort working in cloud environments like AWS, using Docker/Kubernetes 👉🏼 Strong communication and collaboration skills in a remote-first team 👉🏼 Self-starter mindset—you take ownership and move fast Nice to Have 👉🏼 Experience in freight, logistics, fintech, or document-heavy domains 👉🏼 Exposure to AI/ML workflows and integrating model outputs into backend systems 👉🏼 Familiarity with message queues (e.g. SQS, Kafka) 👉🏼 Background in building secure, enterprise-grade software 👉🏼 Familiarity with frontend javascript tech What We Offer 💰 Competitive salary 🌎 Fully remote 🛠️ Chance to shape foundational systems at an early-stage startup 🚀 Work on real-world problems with massive impact Join Us If you’re a backend engineer excited to build AI-powered systems that actually do things, not just analyze things—come build with us. Freight finance is messy. Let’s rebuild together. Show more Show less

Role Overview: We are seeking a Software Engineer who can contribute across the lifecycle of quantitative trading strategies. This includes simulation, analysis, infrastructure, and live deployment. The ideal candidate is a strong problem solver with a solid foundation in data structures and algorithms, and a mindset geared toward continuous learning and adaptability. While we currently use specific technologies, we value engineers who can evaluate and implement the best tools and platforms based on the problem at hand. Responsibilities: - Design and implement scalable, accurate, and high-performance simulation frameworks to test and evaluate trading strategies. - Collaborate with research analysts to support hypothesis-driven testing and provide meaningful insights through customized data outputs and visualizations. - Optimize computational performance using appropriate technologies (e.g., parallelization, GPU computing, or distributed systems). - Help build and maintain robust data pipelines for both historical and real-time data ingestion and processing. - Support the development and management of real-time trading systems that ensure consistency between simulated and live environments. - Assist in building monitoring tools and dashboards to track live trading performance and manage operational risk. - Continuously explore and adopt new technologies, frameworks, and best practices to improve system capabilities. Requirements: - Strong proficiency in data structures, algorithms, and problem-solving techniques. - Demonstrated experience with developing efficient, scalable systems for simulation, data processing, or real-time execution. - Ability to abstract technical requirements and evaluate/implement suitable technologies accordingly. - Familiarity with data storage concepts, APIs, and system design for both batch and real-time applications. - Skilled in creating clear and effective visualizations for analysis and monitoring purposes. - Solid understanding of software development principles, including testing, version control, documentation, and CI/CD pipelines. - Excellent communication and teamwork skills, with the ability to work collaboratively across teams. Show more Show less

About The Opportunity An emerging innovator in the software product sector focused on cloud-native web platforms and enterprise solutions. We build scalable applications that solve real-world business problems across fintech, e-commerce and analytics. Our engineering team pairs modern tech stacks with agile methods to ship impactful features quickly, offering interns a front-row seat to industry best practices. Role & Responsibilities Contribute code to production microservices under senior engineer mentorship. Design and implement data structures and algorithms for feature enhancements. Write unit and integration tests to ensure code reliability. Debug, profile and optimise application performance across the stack. Participate in daily stand-ups, sprint planning and peer code reviews. Document technical decisions and share knowledge with the team. Skills & Qualifications Must-Have Pursuing BE, BTech or equivalent in Computer Science or related field. Solid foundation in object-oriented programming using Python or Java. Good grasp of data structures, algorithms and time-space complexity. Experience with Git-based version control and collaborative workflows. Understanding of SQL fundamentals and database querying. Preferred Exposure to RESTful API design and JSON. Hands-on with Docker or basic container concepts. Familiarity with cloud services such as AWS or Azure. Benefits & Culture Highlights Mentorship program pairing you with seasoned engineers to fast-track growth. Access to internal tech academies, hackathons and certification sponsorships. Open, feedback-driven work culture with emphasis on learning and innovation. Location: On-site, India. Internship duration and stipend discussed during interviews. Note: This is a paid internship.Skills: docker,problem solving,object-oriented programming,java,json,data structures,next.js,restful api,azure,sql,algorithms,python,debugging,aws,git

About The Role We're looking for a Backend Engineer with familiarity with front end tech to join our fast-growing engineering team. You'll play a key role in building and scaling the core infrastructure powering our AI agents—from data ingestion and document processing to audit logic and integration pipelines. You’ll work closely with our founders to ship production-grade systems that support high-volume freight workflows and power real-time financial decision-making. What You’ll Do 👉🏼 Design and build scalable backend systems to support AI-driven invoice and document processing 👉🏼 Integrate with freight industry systems—TMSs, FMS, factoring portals, and ERPs 👉🏼 Develop APIs, data pipelines, and audit engines that drive automation 👉🏼 Collaborate with AI/ML teams to productionize model outputs 👉🏼 Implement observability, performance monitoring, and logging across services 👉🏼 Help shape engineering best practices in a fast-paced, early-stage environment 👉🏼 Make frontend updates as necessary What We’re Looking For 👉🏼 5+ years experience building backend systems in production 👉🏼 Strong programming skills in Python, Node.js, or Flask 👉🏼 Deep understanding of REST APIs, microservices, and event-driven architectures 👉🏼 Hands-on experience with PostgreSQL, MongoDB, or other SQL/NoSQL systems 👉🏼 Comfort working in cloud environments like AWS, using Docker/Kubernetes 👉🏼 Strong communication and collaboration skills in a remote-first team 👉🏼 Self-starter mindset—you take ownership and move fast Nice to Have 👉🏼 Experience in freight, logistics, fintech, or document-heavy domains 👉🏼 Exposure to AI/ML workflows and integrating model outputs into backend systems 👉🏼 Familiarity with message queues (e.g. SQS, Kafka) 👉🏼 Background in building secure, enterprise-grade software 👉🏼 Familiarity with frontend javascript tech What We Offer 💰 Competitive salary 🌎 Fully remote 🛠️ Chance to shape foundational systems at an early-stage startup 🚀 Work on real-world problems with massive impact Join Us If you’re a backend engineer excited to build AI-powered systems that actually do things, not just analyze things—come build with us. Freight finance is messy. Let’s rebuild together. Skills: aws,mongodb,api,flask,microservices,sql,frontend javascript tech,rest apis,event-driven architectures,postgresql,ai/ml workflows,nosql,python,node.js,docker,kubernetes,backend development

About The Role We're looking for a Backend Engineer with familiarity with front end tech to join our fast-growing engineering team. You'll play a key role in building and scaling the core infrastructure powering our AI agents—from data ingestion and document processing to audit logic and integration pipelines. You’ll work closely with our founders to ship production-grade systems that support high-volume freight workflows and power real-time financial decision-making. What You’ll Do 👉🏼 Design and build scalable backend systems to support AI-driven invoice and document processing 👉🏼 Integrate with freight industry systems—TMSs, FMS, factoring portals, and ERPs 👉🏼 Develop APIs, data pipelines, and audit engines that drive automation 👉🏼 Collaborate with AI/ML teams to productionize model outputs 👉🏼 Implement observability, performance monitoring, and logging across services 👉🏼 Help shape engineering best practices in a fast-paced, early-stage environment 👉🏼 Make frontend updates as necessary What We’re Looking For 👉🏼 5+ years experience building backend systems in production 👉🏼 Strong programming skills in Python, Node.js, or Flask 👉🏼 Deep understanding of REST APIs, microservices, and event-driven architectures 👉🏼 Hands-on experience with PostgreSQL, MongoDB, or other SQL/NoSQL systems 👉🏼 Comfort working in cloud environments like AWS, using Docker/Kubernetes 👉🏼 Strong communication and collaboration skills in a remote-first team 👉🏼 Self-starter mindset—you take ownership and move fast Nice to Have 👉🏼 Experience in freight, logistics, fintech, or document-heavy domains 👉🏼 Exposure to AI/ML workflows and integrating model outputs into backend systems 👉🏼 Familiarity with message queues (e.g. SQS, Kafka) 👉🏼 Background in building secure, enterprise-grade software 👉🏼 Familiarity with frontend javascript tech What We Offer 💰 Competitive salary 🌎 Fully remote 🛠️ Chance to shape foundational systems at an early-stage startup 🚀 Work on real-world problems with massive impact Join Us If you’re a backend engineer excited to build AI-powered systems that actually do things, not just analyze things—come build with us. Freight finance is messy. Let’s rebuild together. Skills: aws,mongodb,event-driven architectures,postgresql,nosql,api,flask,microservices,sql,python,node.js,docker,kubernetes,rest apis,backend development

About The Role We’re hiring a Senior AI Engineer with expertise in Computer Vision, document understanding, and voice AI to help build the brains behind our AI agents. You’ll work on the two core components of our AI agents – first, the core perception systems that extract structured insights from messy, real-world freight documents—handwritten, scanned, distorted, or multi-page – and second, our AI agents for email and voice communications between freight entities. You will do a lot of prompt engineering, fine-tuning LLMs, building large-scale document classification and entity extraction models, communication understanding, intent classification, and voice AI – your code will be at the heart of automating financial decision-making in freight. You’ll collaborate closely with the backend and product teams to bring AI models to life in production environments and continuously improve performance in the wild. What You’ll Do 👉🏼 Build and fine-tune AI models for document classification, OCR, entity recognition, and layout parsing 👉🏼 Build AI agents for email and phone communications between different freight accounting parties – payer and payee 👉🏼 Develop scalable pipelines for pre-processing, training, inference, and feedback loops 👉🏼 Evaluate and integrate VLMs👉🏼 Annotate, clean, and curate diverse freight documents for robust model performance 👉🏼Build training, evaluation, and test datasets 👉🏼Identify issues identified in production data and fix them asap 👉🏼Iterate on improving existing and new AI stack 👉🏼 Productionize AI models as part of Lighthouz’s intelligent automation stack 👉🏼 Collaborate with backend engineers to integrate model outputs into document, email, and voice workflows 👉🏼 Continuously monitor and improve model performance in real-world conditions What We’re Looking For 👉🏼 3–6 years experience in ML or AI roles, preferably focused on computer vision or document AI 👉🏼 Strong foundation in deep learning frameworks (e.g., PyTorch, TensorFlow) 👉🏼 Experience in fine-tuning VLMs and LLMs 👉🏼 Experience in voice AI 👉🏼 Experience with document/image OCR, visual transformers, and multimodal models 👉🏼 Proficiency in Python and common ML tooling (e.g., Hugging Face, OpenCV, spaCy) 👉🏼 Hands-on experience training and deploying models in production 👉🏼 Strong problem-solving skills and a builder mindset—you move fast and iterate faster 👉🏼 Comfortable working with ambiguity and evolving datasets 👉🏼 Willingness to work long hours Nice to Have 👉🏼 Familiarity with freight, logistics, or fintech workflows 👉🏼 Experience with AWS, Azure, or GCP-based ML infrastructure 👉🏼 Exposure to RAG pipelines, foundation models, or vector search systems 👉🏼 Knowledge of document layout understanding (e.g., Donut, LayoutLM, PubLayNet) 👉🏼 Background in building secure, production-grade ML services What We Offer 💰 Competitive salary 🌎 Fully remote 🛠️ High ownership, zero bureaucracy—help shape our AI stack from day one 🚀 Work on impactful real-world problems that blend AI and automation at scale Skills: node.js,rest apis,large-scale document classification,nosql,ml tooling,postgresql,production model deployment,sql,opencv,frontend javascript tech,intent classification,prompt engineering,deep learning frameworks,python,deep learning frameworks (pytorch, tensorflow),computer vision,event-driven architectures,communication understanding,fine-tuning llms,voice ai,hugging face,spacy,kubernetes,document understanding,docker,aws,api,entity extraction,microservices,backend development,multimodal models,flask,ai/ml workflows,ocr,document classification,mongodb

About The Role We’re hiring a Senior AI Engineer with expertise in Computer Vision, document understanding, and voice AI to help build the brains behind our AI agents. You’ll work on the two core components of our AI agents – first, the core perception systems that extract structured insights from messy, real-world freight documents—handwritten, scanned, distorted, or multi-page – and second, our AI agents for email and voice communications between freight entities. You will do a lot of prompt engineering, fine-tuning LLMs, building large-scale document classification and entity extraction models, communication understanding, intent classification, and voice AI – your code will be at the heart of automating financial decision-making in freight. You’ll collaborate closely with the backend and product teams to bring AI models to life in production environments and continuously improve performance in the wild. What You’ll Do 👉🏼 Build and fine-tune AI models for document classification, OCR, entity recognition, and layout parsing 👉🏼 Build AI agents for email and phone communications between different freight accounting parties – payer and payee 👉🏼 Develop scalable pipelines for pre-processing, training, inference, and feedback loops 👉🏼 Evaluate and integrate VLMs👉🏼 Annotate, clean, and curate diverse freight documents for robust model performance 👉🏼Build training, evaluation, and test datasets 👉🏼Identify issues identified in production data and fix them asap 👉🏼Iterate on improving existing and new AI stack 👉🏼 Productionize AI models as part of Lighthouz’s intelligent automation stack 👉🏼 Collaborate with backend engineers to integrate model outputs into document, email, and voice workflows 👉🏼 Continuously monitor and improve model performance in real-world conditions What We’re Looking For 👉🏼 3–6 years experience in ML or AI roles, preferably focused on computer vision or document AI 👉🏼 Strong foundation in deep learning frameworks (e.g., PyTorch, TensorFlow) 👉🏼 Experience in fine-tuning VLMs and LLMs 👉🏼 Experience in voice AI 👉🏼 Experience with document/image OCR, visual transformers, and multimodal models 👉🏼 Proficiency in Python and common ML tooling (e.g., Hugging Face, OpenCV, spaCy) 👉🏼 Hands-on experience training and deploying models in production 👉🏼 Strong problem-solving skills and a builder mindset—you move fast and iterate faster 👉🏼 Comfortable working with ambiguity and evolving datasets 👉🏼 Willingness to work long hours Nice to Have 👉🏼 Familiarity with freight, logistics, or fintech workflows 👉🏼 Experience with AWS, Azure, or GCP-based ML infrastructure 👉🏼 Exposure to RAG pipelines, foundation models, or vector search systems 👉🏼 Knowledge of document layout understanding (e.g., Donut, LayoutLM, PubLayNet) 👉🏼 Background in building secure, production-grade ML services What We Offer 💰 Competitive salary 🌎 Fully remote 🛠️ High ownership, zero bureaucracy—help shape our AI stack from day one 🚀 Work on impactful real-world problems that blend AI and automation at scale Skills: communication understanding,node.js,rest apis,fine-tuning llms,voice ai,large-scale document classification,hugging face,spacy,nosql,kubernetes,document understanding,docker,postgresql,aws,ml tooling,production model deployment,sql,opencv,api,entity extraction,frontend javascript tech,intent classification,microservices,backend development,prompt engineering,deep learning frameworks,flask,ai/ml workflows,python,computer vision,ocr,event-driven architectures,mongodb

Role Overview We are seeking a Software Engineer who can contribute across the lifecycle of quantitative trading strategies. This includes simulation, analysis, infrastructure, and live deployment. The ideal candidate is a strong problem solver with a solid foundation in data structures and algorithms, and a mindset geared toward continuous learning and adaptability. While we currently use specific technologies, we value engineers who can evaluate and implement the best tools and platforms based on the problem at hand. Responsibilities Design and implement scalable, accurate, and high-performance simulation frameworks to test and evaluate trading strategies. Collaborate with research analysts to support hypothesis-driven testing and provide meaningful insights through customized data outputs and visualizations. Optimize computational performance using appropriate technologies (e.g., parallelization, GPU computing, or distributed systems). Help build and maintain robust data pipelines for both historical and real-time data ingestion and processing. Support the development and management of real-time trading systems that ensure consistency between simulated and live environments. Assist in building monitoring tools and dashboards to track live trading performance and manage operational risk. Continuously explore and adopt new technologies, frameworks, and best practices to improve system capabilities. Requirements Strong proficiency in data structures, algorithms, and problem-solving techniques. Demonstrated experience with developing efficient, scalable systems for simulation, data processing, or real-time execution. Ability to abstract technical requirements and evaluate/implement suitable technologies accordingly. Familiarity with data storage concepts, APIs, and system design for both batch and real-time applications. Skilled in creating clear and effective visualizations for analysis and monitoring purposes. Solid understanding of software development principles, including testing, version control, documentation, and CI/CD pipelines. Excellent communication and teamwork skills, with the ability to work collaboratively across teams. Skills: real-time execution,data storage concepts,testing,data,data structures,documentation,ci/cd pipelines,problem-solving,teamwork,simulation frameworks,visualizations,algorithms,system design,data processing,communication,version control,apis,software development principles,trading

About The Opportunity A fast-growing innovator in the software product space, we focus on cloud-native platforms and intuitive web applications. Our work spans industries including fintech, productivity, and digital services. By combining modern frontend frameworks with lean, agile practices, we aim to deliver seamless user experiences and scalable solutions. Interns join our product engineering team to gain hands-on exposure to real-world development cycles, UI/UX implementation, and code quality standards. Role & Responsibilities Develop responsive and accessible user interfaces using modern web technologies Translate design specifications (Figma, mockups) into high-performance frontend components Write clean, maintainable code and follow internal development guidelines Collaborate with backend teams to integrate APIs and ensure smooth data flow Identify and fix bugs, UI inconsistencies, and performance bottlenecks Participate in daily team syncs, sprint reviews, and collaborative planning sessions Maintain documentation and contribute to shared component libraries Skills & Qualifications Must-Have Pursuing a degree in Computer Science, Information Technology, or related field Proficiency in HTML, CSS, and JavaScript fundamentals Experience with React.js or similar frontend frameworks Familiarity with Git-based version control and workflow Understanding of responsive design and browser compatibility Preferred Exposure to component-based architecture and state management libraries Basic understanding of REST APIs and JSON data handling Familiarity with Tailwind CSS or utility-first CSS frameworks Awareness of frontend build tools like Vite, Webpack, or npm Benefits & Culture Highlights Work alongside experienced engineers and product designers in a fast-paced environment Access to internal codebase, design systems, and agile toolkits Mentorship and code review culture focused on professional growth Flexible remote work setup with clear goals and structured guidance Exposure to real product lifecycle and deployment practices Location: Remote, India Stipend: ₹10,000 – ₹15,000/month Note: This is a paid internship.Skills: frontend development,css,frontend build tools,json,responsive design,rest apis,tailwind css,react,browser compatibility,javascript frameworks,react.js,html,git,next.js,javascript,version control

Role: Video Editor Inter n Stipend: ₹15,000 / month Duration: 2 months (based on performance can be extended to 6-12 months) About The Role We’re looking for a creative Video Editor Intern who can turn raw footage into scroll-stopping stories for social, ads, product demos, and everything in between. You’ll sit with our content and marketing teams in our Faridabad office, sharpening your craft while helping the brand look its best on screen. What You’ll Do Edit & assemble short-form and long-form videos in Adobe Premiere Pro (or equivalent). Add the magic: motion graphics, text overlays, SFX, basic color grading, and sound balancing. Storyboard & ideate with the creative team before each shoot or edit cycle. Version content for multiple platforms (Reels, YouTube, LinkedIn, web banners). Organize assets—maintain our footage library, project files, and backups. Hit deadlines—juggle several projects without dropping quality. What Makes You a Fit Pursuing or recently completed a degree/diploma in Film, Multimedia, Mass Comm, Animation, or similar. Hands-on with Adobe Premiere Pro; bonus points for After Effects, DaVinci Resolve, or Final Cut Pro. A sharp eye for pacing, storytelling, and trend-driven formats. Basic understanding of color correction and audio mixing. Strong communication skills and a can-do, learn-fast attitude. Able to work on-site in Faridabad (Sector-31) Monday–Friday. Perks & Learning Office PS4 for Gaming (Hopefully, PS5 also soon) Office Library with 20+ curated books A real seat at the creative table Letter of recommendation High-energy office culture Note: This is a paid internship.Skills: sound balancing,sfx,davinci resolve,video editing,adobe after effects,motion graphics,basic color grading,content creation,final cut pro,adobe premiere pro,storyboarding,text overlays,content versioning

Job Title AI Engineer Intern Location Remote – anywhere in India Stipend ₹25,000 – ₹30,000 per month About The Role We’re looking for a curious, hands-on AI Engineer Intern who’s eager to build and ship real-world applications powered by large language models (LLMs). You’ll prototype features, fine-tune models, and stitch everything together with modern orchestration frameworks—helping us turn messy data into delightful product experiences. What You’ll Do Prototype LLM-driven features – design and test prompts, evaluate model outputs, and iterate quickly. Build agentic workflows using LangChain (or similar) to connect language models, tools, and APIs. Design & query vector databases (e.g., Pinecone, Weaviate, Chroma) for retrieval-augmented generation (RAG) pipelines. Fine-tune / instruct-tune models on domain-specific data to boost performance and reduce hallucination. Instrument evaluations—create automated metrics and human-in-the-loop feedback loops to measure quality. Collaborate with full-stack & product teams to transform proofs-of-concept into production-ready micro-services. Must-Have Skills Solid Python skills and familiarity with modern async/programmatic patterns. Hands-on experience experimenting with OpenAI, Claude, Gemini, or similar LLM APIs. Practical use of LangChain / LlamaIndex (building chains, agents, tools). Comfort with vector embeddings and at least one vector database. Basic knowledge of cloud deployment (Docker, serverless functions, or Kubernetes pods). Strong problem-solving mindset and an ownership attitude. Nice-to-Haves Experience fine-tuning models with LoRA or QLoRA. Familiarity with streaming speech-to-text / text-to-speech pipelines. Exposure to TypeScript or FastAPI for quick backend endpoints. DevOps basics: Terraform, CI/CD, monitoring. Note: This is a paid internship.Skills: docker,llamaindex,models,python,agents,cloud deployment,vector databases,kubernetes,gemini apis,fastapi,langchain,problem-solving,claude apis,openai apis

Job Title Design Engineer Intern Location Remote – anywhere in India Stipend ₹20,000 – ₹30,000 per month About The Role Take full ownership of UI/UX—from first sketch to live, shippable React/Tailwind components. Show proven taste with a public portfolio of web or product design work that balances aesthetics and clarity. Build and maintain a design-system/component library in Next JS + Vite; keep it accessible to the whole team. Pair closely with product and backend engineers to keep interfaces fast, accessible, and faithful to real-world user flows. Ship quick iterations, measure with user data, and refine until the experience feels “alive.” Note: This is a paid internship.Skills: react,next js,vite,figma,tailwind css,next.js,tailwind,component libraries,ui/ux design,design systems

Job Title Growth Engineer Intern Location Remote – anywhere in India Stipend ₹20,000 – ₹30,000 per month About The Role Design and run scrappy, code-driven growth experiments: viral waitlist funnels, shareable task demos, usage-based triggers. Track and analyze metrics end-to-end (Supabase, analytics, dashboards) and turn insights into clear next steps. Build lightweight product surfaces—onboarding flows, referral widgets, public demos—that directly move activation and retention. Bring a track record of having grown a product, community, or content channel; explain the strategy, the tactics, and the numbers. Comfortable diving into our codebase to tweak APIs, spin up micro-tools, or automate outreach without blocking on others. Have demonstrable track record for virality Note: This is a paid internship.Skills: analytics,developer relations,api integration,automation,growth hacking,virality strategies,next.js,growth experiments,data analysis,product development,metrics tracking

About The Role We’re looking for an early-career Software Engineer who lives and breathes the MERN stack (MongoDB, Express, React, Node.js) . You’ll work on end-to-end feature delivery—from designing REST/GraphQL APIs to crafting pixel-perfect React components—while collaborating closely with product, design, and DevOps teams. What You’ll Do Build, ship, own: Design, develop, test, and deploy scalable web applications using the MERN stack. Full-cycle engineering: Tackle everything from database schema design to front-end performance tuning. Quality first: Write clean, maintainable code, set up unit/integration tests, and participate in code reviews. Agile collaboration: Work in short sprints, give and receive feedback quickly, and iterate toward product-market fit. Continuous learning: Explore and prototype emerging tools (AI agents, test-automation frameworks, etc.) to keep our stack ahead of the curve. Must-Have Skills & Qualifications MERN stack expertise (projects or 6 – 12 months industry use). Solid grasp of JavaScript/TypeScript, async patterns, and REST/GraphQL fundamentals. Familiarity with Git-based workflows and CI/CD pipelines. Ability to thrive in an on-site, fast-moving environment (6-day workweek). Good-to-Have Extras Selenium/WebDriver automation experience for UI or end-to-end testing. Exposure to AI agents / LLM-driven services (LangChain, AutoGen, etc.). Containerization skills (Docker, Kubernetes) and cloud basics (AWS/GCP/Azure). Compensation & Perks Salary: ₹6 – ₹8 LPA, commensurate with experience. Schedule: Monday–Saturday (one Saturday off per month). Startup-style autonomy, rapid growth opportunities, and a tight-knit engineering culture. Ready to build, learn, and ship at startup speed? We’d love to talk! Skills: rest,langchain,typescript,selenium,ai agents,graphql,mern stack,git,javascript,ci/cd

About The Role We’re looking for an early-career Full Stack Developer who lives and breathes the MERN stack (MongoDB, Express, React, Node.js) . You’ll work on end-to-end feature delivery—from designing REST/GraphQL APIs to crafting pixel-perfect React components—while collaborating closely with product, design, and DevOps teams. What You’ll Do Build, ship, own: Design, develop, test, and deploy scalable web applications using the MERN stack. Full-cycle engineering: Tackle everything from database schema design to front-end performance tuning. Quality first: Write clean, maintainable code, set up unit/integration tests, and participate in code reviews. Agile collaboration: Work in short sprints, give and receive feedback quickly, and iterate toward product-market fit. Continuous learning: Explore and prototype emerging tools (AI agents, test-automation frameworks, etc.) to keep our stack ahead of the curve. Must-Have Skills & Qualifications MERN stack expertise (projects or 6 – 12 months industry use). Solid grasp of JavaScript/TypeScript, async patterns, and REST/GraphQL fundamentals. Familiarity with Git-based workflows and CI/CD pipelines. Ability to thrive in an on-site, fast-moving environment (6-day workweek). Good-to-Have Extras Selenium/WebDriver automation experience for UI or end-to-end testing. Exposure to AI agents / LLM-driven services (LangChain, AutoGen, etc.). Containerization skills (Docker, Kubernetes) and cloud basics (AWS/GCP/Azure). Compensation & Perks Salary: ₹6 – ₹8 LPA, commensurate with experience. Schedule: Monday–Saturday (one Saturday off per month). Startup-style autonomy, rapid growth opportunities, and a tight-knit engineering culture. Ready to build, learn, and ship at startup speed? We’d love to talk! Skills: typescript,rest,git,ci/cd,ai agents,graphql,javascript,mern stack,selenium,langchain

You'll build systems and APIs to collect, curate, and analyze data generated by biomedical dogs, devices and patient data. Immediate Requirements APIs & backends handling EHR data, time-series sensor streams, and sensor/hardware integrations via REST apis Data pipelines & analytics for physiological, behavioral, and neural signals ML & statistical models for biomedical & detection dog research Web & embedded integrations connecting software to real-world devices You should be familiar with at least a few of the following domains: Signal processing and basic statistics Stream processing and online algorithms Databases especially time series databases (victoriametrics), SQL. We have postgres, sqlite, duckdb in our stack Computer vision, machine learning You should be an expert in either Python, C++, or Rust. Our stack is Python-heavy with a few modules written in Rust/C++ where needed. Firmware is written in C/C++ (or Rust). If you plan to write C++/Rust, you may have to generate a Python API using pybind11/PyO3. What You'll Do Develop data pipelines for real-time & batch processing Build robust APIs & backends for devices, research tools, and data systems Handle data transformations, storage, and querying for structured & time-series datasets Evaluate and improve upon ML models & analytics. Collaborate with hardware & research teams to turn messy real-world data into insights We prioritize data integrity and correctness over brute-force scaling. If you like building reliable software and working with complex real-world data, let’s talk. Skills: backend development,computer vision,data transformations,databases,analytics,data querying,data,c,python,c++,signal processing,data storage,statistical models,api development,rust,data pipelines,firmware development,stream processing,machine learning

Role Description This is a full-time remote role for a Senior UI/UX Designer. The Senior UI/UX Designer will be responsible for creating visual designs, developing mockups, front-end development, user experience (UX) design, and user interface design as part of their day-to-day tasks. Qualifications Visual Design and User Interface Design skills Experience in creating mockups and front-end development User Experience (UX) Design skills Strong portfolio showcasing design expertise Proficiency in design tools such as Adobe Creative Suite, Sketch, etc. Experience with user research and usability testing Excellent communication and collaboration skills Bachelor's degree in Design, Human-Computer Interaction, or related field Skills: user research,ui/ux design,proficiency in sketch,front-end development,mockups creation,skills,collaboration skills,user experience (ux) design,user experience,proficiency in adobe creative suite,usability testing,visual design,excellent communication,ux,user interface design

You will be responsible for building systems and APIs to collect, curate, and analyze data generated by biomedical dogs, devices, and patient data. Your immediate requirements will include developing APIs and backends to handle Electronic Health Record (EHR) data, time-series sensor streams, and sensor/hardware integrations via REST APIs. Additionally, you will work on data pipelines and analytics for physiological, behavioral, and neural signals, as well as machine learning and statistical models for biomedical and detection dog research. You will also be involved in web and embedded integrations connecting software to real-world devices. To excel in this role, you should have familiarity with domains such as signal processing, basic statistics, stream processing, online algorithms, databases (especially time series databases like victoriametrics, SQL including postgres, sqlite, duckdb), computer vision, and machine learning. Proficiency in Python, C++, or Rust is essential, as the stack primarily consists of Python with some modules in Rust/C++ where necessary. Firmware development is done in C/C++ (or Rust), and if you choose to work with C++/Rust, you may need to create a Python API using pybind11/PyO3. Your responsibilities will involve developing data pipelines for real-time and batch processing, as well as building robust APIs and backends for devices, research tools, and data systems. You will handle data transformations, storage, and querying for structured and time-series datasets, evaluate and enhance ML models and analytics, and collaborate with hardware and research teams to derive insights from messy real-world data. The focus will be on ensuring data integrity and correctness rather than brute-force scaling. If you enjoy creating reliable software and working with complex real-world data, we look forward to discussing this opportunity with you. Key Skills: backend development, computer vision, data transformations, databases, analytics, data querying, C, Python, C++, signal processing, data storage, statistical models, API development, Rust, data pipelines, firmware development, stream processing, machine learning,