Role Overview: We are seeking a seasoned Full Stack Developer with a robust background in JavaScript frameworks and Python. The ideal candidate will have 3-5+ years of experience, demonstrating a strong aptitude for backend development while also being proficient in frontend technologies. This role involves leading complex projects, mentoring junior developers, and contributing to architectural decisions. Key Responsibilities: Design, develop, and maintain scalable backend services using Node.js and Python. Architect and implement RESTful APIs and integrate third-party services. Optimize applications for maximum speed and scalability. Lead code reviews, testing, and deployment processes. Troubleshoot and resolve technical issues across the stack. Stay updated with emerging technologies and propose innovative solutions. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 3-5 years of experience in full stack development. Proficiency in JavaScript, with hands-on experience in react , vite framework. Solid understanding of Python and its web frameworks (e.g., Django, Flask). Experience with RESTful API design and implementation. Familiarity with database systems (SQL and NoSQL). Knowledge of version control systems, preferably Git. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of DevOps practices and CI/CD pipelines. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes Experience with frontend frameworks like React or Angular. Knowledge of microservices architecture and serverless computing. About the Company: Griphic is founded by IIT Delhi engineers. Our vision is to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and bring disruption in the industry. We have a dynamic team with engineers from IIT Delhi, AI/ML engineers, VR developers, and many more. Our startup is backed by the world’s leading design documentation firm, SKETS Studio, which has a strength of 700+ people and specializes in BIM, architecture, VR, and 3D visualization. Interested candidates should submit their resumes at jobs@griphic.com along with a brief cover letter and any relevant project examples or GitHub links. Show more Show less
Role Overview: We are seeking an experienced DevOps Engineer with a strong background in managing AI-related operations and application development processes. The ideal candidate will have a deep understanding of DevOps practices, infrastructure automation, and the deployment and monitoring of AI/ML models in production environments. Key Responsibilities: Set up and maintain CI/CD pipelines (GitHub Actions, GitLab CI/CD, Jenkins) Infra provisioning with Terraform, CloudFormation, or Ansible Manage ML pipelines using Kubeflow, MLflow, Airflow, or Metaflow Deploy and manage containerized services using Docker and Kubernetes (EKS preferred) Design scalable, reliable systems on AWS (Auto Scaling, ELB, ECS/EKS, RDS, S3, CloudFront, etc.) Set up monitoring/logging with Prometheus, Grafana, CloudWatch, ELK, or DataDog Collaborate with data and backend teams for model deployment and lifecycle management Implement security best practices and drive incident response + RCA when needed Stay updated on new DevOps/MLOps tools to improve system efficiency Required Qualifications: 3–5+ years in DevOps or similar role Strong AWS experience — especially with scaling, HA design, and core services (EC2, EKS, RDS, S3) Good experience with CI/CD tools and Infrastructure as Code (Terraform, CloudFormation, Ansible) Hands-on with Docker, Kubernetes, and managing containerized workloads Experience deploying ML models in production environments Familiarity with monitoring and alerting tools (Prometheus, Grafana, ELK, etc.) Cloud and container security awareness Nice to Have: Experience with MLOps platforms (Kubeflow, MLflow, SageMaker, Vertex AI, Metaflow) Scripting in Python or Bash Experience with config management tools like Ansible, Chef, or Puppet Understanding of VPC, IAM, cost optimization, and fault-tolerant architecture About the Company: Griphic is founded by IIT Delhi engineers. Our vision is to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and bring disruption in the industry. We have a dynamic team with engineers from IIT Delhi, AI/ML engineers, VR developers, and many more. Our startup is backed by the world’s leading design documentation firm, SKETS Studio, which has a strength of 700+ people and specializes in BIM, architecture, VR, and 3D visualization. Interested candidates should submit their resumes at jobs@griphic.com along with a brief cover letter and any relevant project examples or GitHub links. Show more Show less
Griphic is where intelligent systems meet purposeful design. Founded by engineers from IIT Delhi and backed by SKETS Studio, we create solutions that help people interact smarter, decide faster, and build better. From hyperrealistic interviews with Cerebrus to different frameworks across industries, our work combines technology and design for solutions that tackle real-world challenges. We collaborate across disciplines like AI, ML, and VR, designed to rethink how tools should function. Our backing from SKETS Studio (with 2,000+ global projects) grounds our innovation in experience, scale, and design excellence. Key Responsibilities: Design and implement computer vision models to monitor candidates during interviews for proctoring purposes. Develop algorithms for detecting suspicious behavior, such as cheating or impersonation. Optimize models for real-time performance and minimal latency. Integrate facial recognition, object detection, and gaze tracking technologies. Collaborate with AI and data science teams to improve model accuracy and robustness. Continuously monitor model performance and make improvements based on feedback and new data. Stay updated on advancements in computer vision, particularly in security and proctoring solutions. Required Skills: Bachelor’s or Master’s degree in Computer Vision, Computer Science, or a related field. Proficiency in deep learning frameworks like TensorFlow or PyTorch. Strong experience in computer vision techniques (e.g., facial recognition, object detection, gaze tracking). Hands-on experience with OpenCV and other vision processing libraries. Proficiency in Python and related libraries (NumPy, SciPy). Experience with model deployment and optimization for real-time systems. About the Company: Griphic is where intelligent systems meet purposeful design. Founded by engineers from IIT Delhi and backed by SKETS Studio, we create solutions that help people interact smarter, decide faster, and build better. From hyperrealistic interviews with Cerebrus to different frameworks across industries, our work combines technology and design for solutions that tackle real-world challenges. We collaborate across disciplines like AI, ML, and VR, designed to rethink how tools should function. Our backing from SKETS Studio (with 2,000+ global projects) grounds our innovation in experience, scale, and design excellence. Interested candidates should submit their resumes at jobs@griphic.com along with a brief cover letter and any relevant project examples or GitHub links.
Role Overview: We are seeking a seasoned Full Stack Developer with a robust background in JavaScript frameworks and Python. The ideal candidate will have 0-3 years of experience, demonstrating a strong aptitude for backend development while also being proficient in frontend technologies. This role involves leading complex projects, mentoring junior developers, and contributing to architectural decisions. Key Responsibilities: Design, develop, and maintain scalable backend services using Node.js and Python. Architect and implement RESTful APIs and integrate third-party services. Optimize applications for maximum speed and scalability. Lead code reviews, testing, and deployment processes. Troubleshoot and resolve technical issues across the stack. Stay updated with emerging technologies and propose innovative solutions. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 0-3 years of experience in full stack development. Proficiency in JavaScript, with hands-on experience in react, Vite framework. Solid understanding of Python and its web frameworks (e.g., Django, Flask). Experience with RESTful API design and implementation. Familiarity with database systems (SQL and NoSQL). Knowledge of version control systems, preferably Git. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of DevOps practices and CI/CD pipelines. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes Experience with frontend frameworks like React or Angular. Knowledge of microservices architecture and serverless computing. About the Company: Founded by engineers from IIT Delhi and backed by SKETS Studio, we create solutions that help people interact smarter, decide faster, and build better. From hyper-realistic interviews with Cerebrus to different frameworks across industries, our work blends cutting-edge tech with real-world clarity. We collaborate across disciplines like AI, ML, and VR, designed to rethink how tools should function. Our backing from SKETS Studio (with 2,000+ global projects) grounds our innovation in experience, scale, and design excellence.
Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications. About the Role We are seeking a Full Stack Developer with strong expertise in 3D content rendering on the web (Three.js or similar libraries) . This role involves developing modern web applications, integrating 3D interactive experiences, managing databases, and working closely with AI/VR teams. Responsibilities Develop and maintain web applications with 3D/interactive components . Implement Three.js or other WebGL-based frameworks for interactive 3D content. Identify and fix bugs related to WebSockets, Databases, UI/UX, and 3D rendering. Integrate APIs provided by AI/other development teams into the web applications. Design and manage backend servers ensuring scalability and performance. Collaborate with designers, AI/VR teams, and backend engineers to deliver immersive solutions. Document development processes, code changes, and 3D workflows. Required Skills Strong front-end development with HTML, CSS, JavaScript (React/Angular). Proven experience with Three.js and other 3D/web visualization libraries (e.g., Babylon.js, PlayCanvas, A-Frame, WebGL). Backend development with Node.js / Python . Experience in managing and optimizing WebSockets . Familiarity with databases (MySQL, MongoDB). Experience with cloud services (AWS, Google Cloud, or Azure). Excellent problem-solving and teamwork skills. Qualifications Bachelor’s degree in Computer Science, IT, or related field. 2–4 years of Full Stack Development experience. Proven track record of delivering 3D web applications . Application Interested candidates should submit their resume, cover letter, and relevant project links (GitHub, live 3D demos, portfolios) on jobs@griphic.com.
Role Overview: We are seeking a seasoned Full Stack Developer with a robust background in JavaScript frameworks and Python. The ideal candidate will have 3-5 years of experience, demonstrating a strong aptitude for backend development while also being proficient in frontend technologies. This role involves leading complex projects, mentoring junior developers, and contributing to architectural decisions. Key Responsibilities: Design, develop, and maintain scalable backend services using Node.js and Python. Architect and implement RESTful APIs and integrate third-party services. Optimize applications for maximum speed and scalability. Lead code reviews, testing, and deployment processes. Troubleshoot and resolve technical issues across the stack. Stay updated with emerging technologies and propose innovative solutions. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 3-5 years of experience in full stack development. Proficiency in JavaScript, with hands-on experience in react, Vite framework. Solid understanding of Python and its web frameworks (e.g., Django, Flask). Experience with RESTful API design and implementation. Familiarity with database systems (SQL and NoSQL). Knowledge of version control systems, preferably Git. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of DevOps practices and CI/CD pipelines. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes Experience with frontend frameworks like React or Angular. Knowledge of microservices architecture and serverless computing. About the Company: Founded by engineers from IIT Delhi and backed by SKETS Studio, we create solutions that help people interact smarter, decide faster, and build better. From hyper-realistic interviews with Cerebrus to different frameworks across industries, our work blends cutting-edge tech with real-world clarity. We collaborate across disciplines like AI, ML, and VR, designed to rethink how tools should function. Our backing from SKETS Studio (with 2,000+ global projects) grounds our innovation in experience, scale, and design excellence.
Software Engineer - L1 WebGL/Three.js Specialist Location & Type: Delhi, Full-time CTC Range (LPA): 15.25 - 18.25 Role Overview Early-career Software Engineer with solid fundamentals who can build web applications and craft reliable 3D experiences using WebGL/Three.js . We’re looking for strong understanding, clean coding habits, and the ability to learn fast and ship with guidance. What You’ll Do Implement well-scoped features across the stack (JS/TS, APIs, build tooling) with a focus on interactive 3D scenes (cameras, lights, materials). Load/optimize assets ( GLTF/GLB , textures/HDRIs) with basic compression ( DRACO/meshopt/KTX2 ) and try to achieve higher FPS. Add user interactions (raycasting, UI overlays), simple post-processing, and responsive layouts. Consume REST/GraphQL APIs to drive dynamic content, handle errors/retries gracefully. Write clean, modular code with tests, document scene setup and asset pipelines. Collaborate with Product/Design/Platform, participate in code reviews and sprint ceremonies. Technical Qualifications Strong JavaScript/TypeScript and web fundamentals (HTML/CSS, bundlers, ES modules, Git). Working knowledge of WebGL concepts and Three.js APIs (geometry, materials/PBR, shadows, cameras/controls). Basic performance tactics: reduce draw calls, right-size textures, LODs/instancing, lazy loading. Comfort integrating APIs (REST/GraphQL) and environment/build tools (Vite/Next.js or similar). Testing basics (Jest/Playwright or similar) and CI familiarity. Nice to Have Intro to GLSL shaders / NodeMaterial, OffscreenCanvas and Web Workers . Simple physics (Cannon-es/Ammo.js), WebXR basics (AR/VR), accessibility fallbacks. Awareness of caching/CDN/versioning for heavy assets, basic observability (logs/metrics). About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications. Application Interested candidates can apply via the Google Form below: https://docs.google.com/forms/d/e/1FAIpQLSf5lwNn6gqIE6tBgvLGsU362jMsDDHLt4ceandTaawf3E_UtQ/viewform?pli=1
AI/ML Engineer - L4/L5 (Lead / Senior-Lead) Location & Type: Delhi, Full-time CTC Range (LPA): 51.50 - 77.15 Role Overview We’re looking for a hands-on AI/ML Lead Engineer who can bridge research, product, and engineering. You’ll own the full ML lifecycle - from problem framing and data pipelines to model deployment, evaluation, and scaling in production. You’ll guide a small team of engineers, collaborate with product and design, and turn ideas into working AI features that reach users quickly and reliably. This is a startup environment: you’ll move fast, make pragmatic trade-offs, and ship continuously. What You’ll Do Lead design and development of core AI features - from data ingestion to real-time inference for production products. Architect ML systems and services that are scalable, cost-efficient, and observable. Mentor and guide Team of engineers (AI + SWE) in technical design, model evaluation, and best practices. Build LLM, CV, or multimodal pipelines (fine-tuning, adapters, retrieval, evaluation) depending on product needs. Define model evaluation frameworks (offline metrics + live A/B + user feedback loops). Collaborate with Software, Data, and Product teams to design features powered by ML. Deploy and monitor models using containerized microservices (ECS/K8s), ensure low-latency inference and reproducibility. Own incident response and postmortems for AI systems, improve reliability and reduce MTTR. Optimize training/inference cost (batching, quantization, mixed precision, GPU scheduling). Leadership on architecture decisions, research and scaling strategy. Technical Qualifications 5–9+ years in applied ML/AI roles, with at least 2 years leading or mentoring engineers. Expert in Python , strong in at least one deep-learning framework ( PyTorch/TensorFlow ). Experience with end-to-end ML pipelines (data prep, training, evaluation, deployment, monitoring). Proven success shipping ML-powered products not just models to real users. Hands-on with MLOps tooling (MLflow, Weights & Biases, DVC, Airflow, Prefect, etc.). Knowledge of containerized deployments (Docker, ECS, K8s) and CI/CD for ML. Strong fundamentals in statistics, experimentation , and interpreting real-world feedback. Experience optimizing GPU inference (ONNX, TensorRT, mixed precision, batching). Familiar with vector databases , RAG pipelines , and LLM fine-tuning/adapters (LoRA/QLoRA) . Exposure to observability stacks (Prometheus/Grafana/OpenTelemetry) and production logging/metrics. Clear, concise technical communication you can explain trade-offs and align teams fast. Nice to Have Experience working in a startup or early-stage product environment. Familiarity with data privacy, compliance , and security best practices in AI systems. Interest in shaping AI architecture for a growing product org. Strong sense of design-for-users : shipping smaller, usable ML features fast and iterating. About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications. Application Interested candidates can apply via the Google Form below: https://docs.google.com/forms/d/e/1FAIpQLSf5lwNn6gqIE6tBgvLGsU362jMsDDHLt4ceandTaawf3E_UtQ/viewform?pli=1 Follow Griphic to stay updated on upcoming roles and projects.
DevOps Engineer - L3 (Software Engineer II) Location & Type: Delhi, Full-time CTC Range (LPA): 29.00 - 36.25 Role Overview Experienced DevOps engineer who can own and scale production infrastructure end-to-end - from CI/CD and IaC to observability and incident response. You’ll lead design docs, harden reliability and security, drive cost/perf efficiency. What You’ll Do Architect and maintain CI/CD pipelines (build, test, security scans, deploy, rollback) with quality gates and environment promotions. Design and operate container platforms (ECS/EKS or equivalent), service discovery, blue/green & canary strategies, and autoscaling. Implement Infrastructure as Code (Terraform/CDK/CloudFormation), enforce modular, reviewable, and drift-free infra. Build observability : metrics/logs/traces, SLOs/SLIs, dashboards, and actionable alerts; reduce MTTR through runbooks and automation. Champion platform reliability : capacity planning, HA/DR (multi-AZ), backup/restore testing, change management. Own secrets management , IAM least-privilege, network policies, and baseline hardening (CIS where relevant). Drive cost optimization (rightsizing, autoscaling policies, savings plans/spot, storage lifecycle) with monthly reporting. Establish release/incident processes (postmortems, RCAs) and lead remediation to cut change failure rate. Partner with Backend/AI teams to productize models/services (GPU pools, batching, caching layers) and streamline developer workflows. lead design reviews, tech spikes, Monitoring and documentation. Technical Qualifications 3–4+ years in DevOps/SRE/Platform roles supporting production systems at scale. Strong with AWS : VPC, IAM, ECS/EKS, ALB/NLB, RDS/Elasticache/Object storage, CloudWatch. Proficient in Terraform (or CDK/CloudFormation), CI/CD (GitHub/GitLab/Jenkins/Argo) including artifacts and environment promotion. Containers & orchestration: Docker , task definitions/helm charts, autoscaling, health checks, readiness/liveness. Observability: Prometheus/Grafana , OpenTelemetry, log pipelines (ELK/CloudWatch/Datadog), alert routing. Networking & security: VPC/Subnets, SGs/NACLs, TLS, DNS, WAF, IAM design, secrets (KMS/Parameter Store/Vault). Scripting/automation in Python/Bash, configuration management (Ansible or equivalent). Proven incident management: on-call practice, runbooks, RCAs, tuning alerts to reduce noise. Nice to Have Kubernetes (EKS) production experience, service mesh (Istio/Linkerd), GitOps (ArgoCD/Flux). Image and dependency security (Trivy/Grype/Snyk), SBOMs, policy-as-code (OPA/Conftest). Data platform ops (Postgres/Mongo backups, PITR, replicas), streaming (Kafka/Kinesis). Edge/GPU workloads (Triton/TorchServe) and autoscaling for AI inference. About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications. Application Interested candidates can apply via the Google Form below: https://docs.google.com/forms/d/e/1FAIpQLSf5lwNn6gqIE6tBgvLGsU362jMsDDHLt4ceandTaawf3E_UtQ/viewform?pli=1 Follow Griphic to stay updated on upcoming roles and projects.
AI/ML Engineer - L4/L5 (Lead / Senior-Lead) Location & Type: Delhi, Full-time CTC Range (LPA): 51.50 - 77.15 Role Overview We're looking for a hands-on AI/ML Lead Engineer who can bridge research, product, and engineering. You'll own the full ML lifecycle - from problem framing and data pipelines to model deployment, evaluation, and scaling in production. You'll guide a small team of engineers, collaborate with product and design, and turn ideas into working AI features that reach users quickly and reliably. This is a startup environment: you'll move fast, make pragmatic trade-offs, and ship continuously. What You'll Do Lead design and development of core AI features - from data ingestion to real-time inference for production products. Architect ML systems and services that are scalable, cost-efficient, and observable. Mentor and guide Team of engineers (AI + SWE) in technical design, model evaluation, and best practices. Build LLM, CV, or multimodal pipelines (fine-tuning, adapters, retrieval, evaluation) depending on product needs. Define model evaluation frameworks (offline metrics + live A/B + user feedback loops). Collaborate with Software, Data, and Product teams to design features powered by ML. Deploy and monitor models using containerized microservices (ECS/K8s), ensure low-latency inference and reproducibility. Own incident response and postmortems for AI systems, improve reliability and reduce MTTR. Optimize training/inference cost (batching, quantization, mixed precision, GPU scheduling). Leadership on architecture decisions, research and scaling strategy. Technical Qualifications 59+ years in applied ML/AI roles, with at least 2 years leading or mentoring engineers. Expert in Python , strong in at least one deep-learning framework ( PyTorch/TensorFlow ). Experience with end-to-end ML pipelines (data prep, training, evaluation, deployment, monitoring). Proven success shipping ML-powered products not just models to real users. Hands-on with MLOps tooling (MLflow, Weights & Biases, DVC, Airflow, Prefect, etc.). Knowledge of containerized deployments (Docker, ECS, K8s) and CI/CD for ML. Strong fundamentals in statistics, experimentation , and interpreting real-world feedback. Experience optimizing GPU inference (ONNX, TensorRT, mixed precision, batching). Familiar with vector databases , RAG pipelines , and LLM fine-tuning/adapters (LoRA/QLoRA) . Exposure to observability stacks (Prometheus/Grafana/OpenTelemetry) and production logging/metrics. Clear, concise technical communication you can explain trade-offs and align teams fast. Nice to Have Experience working in a startup or early-stage product environment. Familiarity with data privacy, compliance , and security best practices in AI systems. Interest in shaping AI architecture for a growing product org. Strong sense of design-for-users : shipping smaller, usable ML features fast and iterating. About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications. Application Interested candidates can apply via the Google Form below: https://docs.google.com/forms/d/e/1FAIpQLSf5lwNn6gqIE6tBgvLGsU362jMsDDHLt4ceandTaawf3E_UtQ/viewformpli=1 Follow Griphic to stay updated on upcoming roles and projects.
As a Software Engineer - L1 WebGL/Three.js Specialist at Griphic, you will be responsible for building web applications and creating reliable 3D experiences using WebGL/Three.js. Your role will involve implementing features across the stack, optimizing assets, adding user interactions, consuming APIs, writing clean code, and collaborating with various teams. **Key Responsibilities:** - Implement well-scoped features across the stack with a focus on interactive 3D scenes - Load and optimize assets with basic compression techniques to achieve higher FPS - Add user interactions, post-processing effects, and responsive layouts - Consume REST/GraphQL APIs to drive dynamic content and handle errors gracefully - Write clean, modular code with tests and document scene setup and asset pipelines - Collaborate with Product, Design, and Platform teams, participate in code reviews and sprint ceremonies **Qualifications Required:** - Strong JavaScript/TypeScript skills and web fundamentals - Working knowledge of WebGL concepts and Three.js APIs - Basic performance optimization tactics and API integration skills - Testing basics and familiarity with CI processes **Nice to Have:** - Understanding of GLSL shaders, OffscreenCanvas, and Web Workers - Knowledge of physics libraries and WebXR basics - Awareness of caching strategies and observability tools At Griphic, we are a team of IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists working towards enriching lives through technological innovation. Our goal is to combine AI with hyper-realistic virtual experiences to solve problems and disrupt industries. We are backed by SKETS Studio and are building the future of immersive web applications. If you are excited about the opportunity to work with cutting-edge technologies and be part of a team that is shaping the future, apply via the Google Form provided in the job description.,
AI/ML Engineer - L4/L5 (Lead / Senior-Lead) Location & Type: Delhi, Full-time CTC Range (LPA): 51.50 - 77.15 Role Overview We’re looking for a hands-on AI/ML Lead Engineer who can bridge research, product, and engineering. You’ll own the full ML lifecycle - from problem framing and data pipelines to model deployment, evaluation, and scaling in production. You’ll guide a small team of engineers, collaborate with product and design, and turn ideas into working AI features that reach users quickly and reliably. This is a startup environment: you’ll move fast, make pragmatic trade-offs, and ship continuously. What You’ll Do Lead design and development of core AI features - from data ingestion to real-time inference for production products. Architect ML systems and services that are scalable, cost-efficient, and observable. Mentor and guide Team of engineers (AI + SWE) in technical design, model evaluation, and best practices. Build LLM, CV, or multimodal pipelines (fine-tuning, adapters, retrieval, evaluation) depending on product needs. Define model evaluation frameworks (offline metrics + live A/B + user feedback loops). Collaborate with Software, Data, and Product teams to design features powered by ML. Deploy and monitor models using containerized microservices (ECS/K8s), ensure low-latency inference and reproducibility. Own incident response and postmortems for AI systems, improve reliability and reduce MTTR. Optimize training/inference cost (batching, quantization, mixed precision, GPU scheduling). Leadership on architecture decisions, research and scaling strategy. Technical Qualifications 5–9+ years in applied ML/AI roles, with at least 2 years leading or mentoring engineers. Expert in Python , strong in at least one deep-learning framework ( PyTorch/TensorFlow ). Experience with end-to-end ML pipelines (data prep, training, evaluation, deployment, monitoring). Proven success shipping ML-powered products not just models to real users. Hands-on with MLOps tooling (MLflow, Weights & Biases, DVC, Airflow, Prefect, etc.). Knowledge of containerized deployments (Docker, ECS, K8s) and CI/CD for ML. Strong fundamentals in statistics, experimentation , and interpreting real-world feedback. Experience optimizing GPU inference (ONNX, TensorRT, mixed precision, batching). Familiar with vector databases , RAG pipelines , and LLM fine-tuning/adapters (LoRA/QLoRA) . Exposure to observability stacks (Prometheus/Grafana/OpenTelemetry) and production logging/metrics. Clear, concise technical communication you can explain trade-offs and align teams fast. Nice to Have Experience working in a startup or early-stage product environment. Familiarity with data privacy, compliance , and security best practices in AI systems. Interest in shaping AI architecture for a growing product org. Strong sense of design-for-users : shipping smaller, usable ML features fast and iterating. About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications. Follow Griphic to stay updated on upcoming roles and projects.
Software Engineer - L1 WebGL/Three.js Specialist Location & Type: Delhi, Full-time CTC Range (LPA): 15.25 - 18.25 Role Overview Early-career Software Engineer with solid fundamentals who can build web applications and craft reliable 3D experiences using WebGL/Three.js. We’re looking for strong understanding, clean coding habits, and the ability to learn fast and ship with guidance. What You’ll Do Implement well-scoped features across the stack (JS/TS, APIs, build tooling) with a focus on interactive 3D scenes (cameras, lights, materials). Load/optimize assets (GLTF/GLB, textures/HDRIs) with basic compression (DRACO/meshopt/KTX2) and try to achieve higher FPS. Add user interactions (raycasting, UI overlays), simple post-processing, and responsive layouts. Consume REST/GraphQL APIs to drive dynamic content, handle errors/retries gracefully. Write clean, modular code with tests,document scene setup and asset pipelines. Collaborate with Product/Design/Platform, participate in code reviews and sprint ceremonies. Technical Qualifications Strong JavaScript/TypeScript and web fundamentals (HTML/CSS, bundlers, ES modules, Git). Working knowledge of WebGL concepts and Three.js APIs (geometry, materials/PBR, shadows, cameras/controls). Basic performance tactics: reduce draw calls, right-size textures, LODs/instancing, lazy loading. Comfort integrating APIs (REST/GraphQL) and environment/build tools (Vite/Next.js or similar). Testing basics (Jest/Playwright or similar) and CI familiarity. Nice to Have Intro to GLSL shaders / NodeMaterial, OffscreenCanvas and Web Workers. Simple physics (Cannon-es/Ammo.js), WebXR basics (AR/VR), accessibility fallbacks. Awareness of caching/CDN/versioning for heavy assets, basic observability (logs/metrics). About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications.
DevOps Engineer - L3 (Software Engineer II) Location & Type: Delhi, Full-time CTC Range (LPA): 29.00 - 36.25 Role Overview Experienced DevOps engineer who can own and scale production infrastructure end-to-end - from CI/CD and IaC to observability and incident response. You’ll lead design docs, harden reliability and security, drive cost/perf efficiency. What You’ll Do Architect and maintain CI/CD pipelines (build, test, security scans, deploy, rollback) with quality gates and environment promotions. Design and operate container platforms (ECS/EKS or equivalent), service discovery, blue/green & canary strategies, and autoscaling. Implement I nfrastructure as Code (Terraform/CDK/CloudFormation), enforce modular, reviewable, and drift-free infra. Build observability : metrics/logs/traces, SLOs/SLIs, dashboards, and actionable alerts; reduce MTTR through runbooks and automation. Champion platform reliability : capacity planning, HA/DR (multi-AZ), backup/restore testing, change management. Own secrets management, IAM least-privilege, network policies, and baseline hardening (CIS where relevant). Drive cost optimization (rightsizing, autoscaling policies, savings plans/spot, storage lifecycle) with monthly reporting. Establish release/incident processes (postmortems, RCAs) and lead remediation to cut change failure rate. Partner with Backend/AI teams to productize models/services (GPU pools, batching, caching layers) and streamline developer workflows. lead design reviews, tech spikes, Monitoring and documentation. Technical Qualifications 3 - 4+ years in DevOps/SRE/Platform roles supporting production systems at scale. Strong with AWS : VPC, IAM, ECS/EKS, ALB/NLB, RDS/Elasticache/Object storage, CloudWatch. Proficient in Terraform (or CDK/CloudFormation), CI/CD (GitHub/GitLab/Jenkins/Argo) including artifacts and environment promotion. Containers & orchestration: Docker , task definitions/helm charts, autoscaling, health checks, readiness/liveness. Observability: Prometheus /Grafana, OpenTelemetry, log pipelines (ELK/CloudWatch/Datadog), alert routing. Networking & security: VPC/Subnets, SGs/NACLs, TLS, DNS, WAF, IAM design , secrets (KMS/Parameter Store/Vault). Scripting/automation in Python/Bash , configuration management (Ansible or equivalent). Proven incident management: on-call practice, runbooks, RCAs, tuning alerts to reduce noise. Nice to Have Kubernetes (EKS) production experience, service mesh (Istio/Linkerd), GitOps (ArgoCD/Flux). Image and dependency security (Trivy/Grype/Snyk), SBOMs, policy-as-code (OPA/Conftest). Data platform ops (Postgres/Mongo backups, PITR, replicas), streaming (Kafka/Kinesis). Edge/GPU workloads (Triton/TorchServe) and autoscaling for AI inference. About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications. Follow Griphic to stay updated on upcoming roles and projects.
Software Engineer - L2 (Software Engineer I) Location & Type: Delhi, Full-time CTC Range (LPA): 23.75 - 28.00 Role Overview As a Software Engineer I, you will own features or modules end-to-end across backend and frontend. You’ll deliver reliable, maintainable, production-ready code while collaborating closely with Product, Design, and AI teams. This role requires comfort moving between APIs, databases, and modern frontend and backend frameworks . What You’ll Do Own and deliver features/modules with minimal supervision. Write and review design proposals before implementation. Build and scale backend services in Node.js and integrate AI services in Python. Develop REST/GraphQL APIs with strong error handling and performance. Work with Postgres and MongoDB to design schemas and optimize queries. Ensure quality with unit, integration, and regression tests, enforce CI/CD quality gates. Add metrics, logs, and dashboards for observability. Resolve issues in staging/production and take on-call ownership for your modules. Provide mentorship and review feedback to junior engineers. Technical Qualifications Minimum 2–3 years of professional software engineering experience. Proficiency in Node.js and Python . Strong experience designing and consuming REST APIs, exposure to GraphQL . Solid understanding of Postgres schema design and query optimization. Proficiency with MongoDB aggregation pipelines and indexing. Familiarity with AWS ECS/ECR , containers, and monitoring basics. Strong CI/CD experience (automated testing, deployments, rollbacks). Solid debugging and troubleshooting skills with logs and metrics. Nice to Have Kubernetes (EKS) experience. Infrastructure-as-Code (Terraform, CDK). Advanced observability tools (Prometheus, Grafana, OpenTelemetry). Experience with distributed systems and microservices. Exposure to frontend frameworks. UI/UX sensibility and experience collaborating closely with design teams About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications.