Recruit Square

Physical Design Integration Engineer

Bengaluru, Karnataka, India

Role

Join our close-knit physical design team where you'll excel in synthesizing, placing, routing and integrating high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture.

Minimum Skills & Qualifications

10+ years of physical design, integration & physical verification experience.

Strong knowledge of block level and full-chip physical verification methodology.

Experience with the complete physical design flow.

Skills in Design Compiler, Fusion Compiler, ICC2 or similar physical design tools

Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.

Expert with IR/EM analysis and resolution

Good understanding of full chip floor planning and integration.

Strong experience in full chip timing closure

Demonstrated ability to work with RTL teams to optimize for physical design

Ability to independently debug and resolve physical verification Issues

BS or MS in Electrical Engineering

Preferred Skills:

Knowledge of Synopsys tool suite is a plus.

Good scripting skills with languages like Tcl and Python. Ability to make flow enhancements.

About IntraIntel.ai

At IntraIntel.ai, we are building a next-generation, multi-tenant AI platform that enables organizations across industries—healthcare, clinical research, manufacturing, and textiles—to harness the power of intelligent automation and Generative AI. Our platform seamlessly integrates AI agents, RAG pipelines, and LLM-based workflows into a unified, scalable, and secure ecosystem hosted on Google Cloud Platform (GCP).

We are looking for a Full Stack Developer with deep experience in AI-integrated applications, cloud-native architecture, and end-to-end platform development—someone passionate about building intelligent systems that push the boundaries of innovation.

Key Responsibilities

1. Full Stack Development

• Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.
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• Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.
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• Optimize backend logic for scalability, modularity, and high availability on GCP.
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• Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

• Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.
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• Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.
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• Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI/CD

• Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub/Sub.
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• Set up and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.
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• Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.
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4. UI/UX Collaboration

• Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.
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• Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.
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• Work with designers to ensure front-end consistency across multi-tenant environments.
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5. Performance, Security & Monitoring

• Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.
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• Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.
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• Participate in architectural discussions to enhance system observability and security posture.
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Required Skills & Qualifications

Technical Proficiency

• Backend: Node.js, Express.js, Python (for AI integration), REST/GraphQL APIs
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• Frontend: React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js
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• Database: PostgreSQL, MongoDB, Firestore, Redis
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• Cloud: Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage
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• AI Integration: LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)
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• DevOps: Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions
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• Version Control: Git, Bitbucket
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• UI/UX Collaboration: Figma, Material UI, responsive design principles
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Experience & Attributes

• 5+ years of experience in full-stack development, preferably on AI or SaaS platforms.
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• Strong understanding of multi-tenant architectures and modular design principles.
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• Proven experience in CI/CD pipeline automation and infrastructure management.
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• Experience in integrating AI services, chatbots, or intelligent recommendation systems.
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• Strong problem-solving skills and ability to collaborate in a fast-paced, cross-functional environment.
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• Excellent communication skills and documentation habits.
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Preferred Qualifications

• Prior experience working with AI-driven SaaS or agentic AI platforms.
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• Familiarity with PromptOps / MLOps practices and versioning workflows for LLMs.
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• Experience in data governance and security compliance (HIPAA, GDPR, or SOC2).
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• Cloud certifications (GCP Professional Cloud Developer / Architect) are a plus.
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Why Join IntraIntel.ai

• Work on cutting-edge AI agentic architectures with real-world enterprise impact.
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• Join a fast-growing, innovation-driven team shaping the future of AI platforms.
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• Build products at scale across diverse industries with a unified mission.
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• Collaborative and flexible environment encouraging ownership and creativity.
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As the Lead Generation Senior Executive, you will be responsible for developing, implementing, and optimizing multi-channel lead generation campaigns to build a robust pipeline for our sales team. You will demonstrate market understanding of the Talent/Capability Development (learning/e-learning, custom learning, localization, and translation) services/produts and markets and will be adept at customer engagement. This role demands a candidate with analytical prowess to interpret data and drive decisions, coupled with strong collaboration skills to work effectively with sales and marketing.

Roles &Responsbilities -

•  Lead Generation Strategy Development: Define and implement comprehensive lead generation strategies encompassing learning/e-learning, localisation, and translation services, aligning with overall sales and marketing objectives. This includes identifying target audiences, understanding their needs, and determining the most effective channels to reach them.

•    Multi-Channel Campaign Management: Plan, execute, and optimize lead generation campaigns across various online and offline channels. This includes digital marketing (SEO/SEM, content marketing, social media marketing, email marketing, webinars, online advertising) and outbound activities (targeted outreach, industry events, networking).

•    Content Strategy Collaboration: Work closely with the marketing team to develop compelling content that attracts and converts target prospects for learning/e-learning, localisation, and translation products/services.

•    Marketing Automation and CRM Management: Utilize marketing automation platforms and CRM systems to manage lead generation processes, track campaign performance, nurture leads, and ensure seamless handoff to the sales team.

•    Performance Monitoring and Analysis: Track, measure, and analyze the performance of lead generation campaigns using relevant metrics. Provide regular reports and insights to the sales and marketing teams, recommending optimizations for improved results.

•    Collaboration with Sales: Work closely with the Sales Manager and sales team to understand their needs, ensure lead quality, and optimize the lead-to-opportunity conversion process for learning/e-learning, localisation, and translation products/services.

•    Market Research and Competitive Analysis: Conduct ongoing market research to identify new lead generation opportunities, understand industry trends in learning/e-learning, localisation, and translation, and analyze competitor activities.

•    Budget Management: Manage the lead generation budget effectively, ensuring optimal ROI on marketing and outreach activities.

•    Vendor Management: Manage relationships with external vendors or agencies supporting lead generation efforts.

•    Staying Updated: Keep abreast of the latest trends and best practices in lead generation, digital marketing, and sales enablement for learning/e-learning, localisation, and translation product/service-based industries.

Bachelor's degree in Marketing, Business Administration, or a related field.

Qualification and Experience -

•    Minimum of 8-10 years of experience in pre-sales/lead generation, preferably in the learning/e-learning, localisation, and translation industry or a related technology sector.

•    Proven track record of success in developing and executing lead generation strategies, preferably with experience in the B2B sector.

•    Experience in generating leads for technology products, SaaS solutions, or service-based offerings is highly desirable.

•    Familiarity with the learning/e-learning, localisation, and translation industries is a significant advantage.

•    Strong understanding of digital marketing principles and channels.

•    Experience with marketing automation platforms and CRM systems.

•    Excellent analytical skills and the ability to interpret data to drive decisions.

•    Strong project management and organizational skills.

•    Excellent written and verbal communication skills.

•    Ability to work independently and collaboratively within a team environment.

•    Proactive, results-oriented, and data-driven approach. 

•   Willingness to travel as required by business.

•   Deep understanding of AGILE methodologies and extensive experience working within a learning, educational technology, or complex content delivery environment.

In this role,you will be at the forefront of our expansion efforts. Your primary focus will be on identifying and entering new market segments, cultivating strategic partnerships, and building the foundational pipeline of qualified opportunities for our sales team. You will leverage your deep market understanding and strategic thinking to chart new paths for growth, requiring strong networking, relationship-building, and negotiation skills to establish impactful collaborations and secure initial agreements. This role demands a highly results-oriented individual with a strong entrepreneurial spirit and the ability to operate with a high degree of autonomy.

• New Market Identification and Entry:

Conduct in-depth market research to identify and prioritize new market segments and customer verticals for learning/e-learning, localisation, and translation product/service markets. Develop and execute market entry strategies.

• Strategic Partnership Development:

Identify, initiate contact, and build strong relationships with potential strategic partners (e.g., complementary technology providers, industry associations, channel partners) to expand our reach and market presence. Negotiate and finalize partnership agreements.

• Pipeline Origination:

Generate a consistent flow of new, qualified leads and opportunities through proactive outreach, networking, industry events, and targeted campaigns focused on new markets and partnerships.

• Value Proposition Development for New Markets:

Tailor and refine our value proposition to resonate with the specific needs and challenges of new market segments and potential partners.

• Early-Stage Opportunity Management:

Manage the initial stages of the sales cycle for new opportunities, effectively communicating our solutions and qualifying prospects before handing them off to the sales team for closure.

• Market Intelligence and Competitive Analysis (New Markets): Continuously monitor and analyze trends, customer needs, and competitor activities within target new markets and partnership landscapes.

• Collaboration with Internal Teams: Work closely with development, marketing, and sales teams to align strategies, provide market feedback, and ensure successful onboarding of new clients and partners.

• Reporting and Forecasting: Track and report on business development activities, pipeline of new opportunities and partnerships, and progress against targets for new market penetration.

• Representing Wordsburg: Act as a key representative of Wordsburg at industry events, conferences, and partner meetings, building brand awareness and generating new opportunities.

Perfect match requirements -

• Bachelor's degree in Business Administration, Marketing, or a related field.

• Minimum of 10 years of experience in Business Development, preferably in the learning/e-learning, localisation, and translation industry or a related technology sector. 

• Proven track record of success in business development, specifically in identifying and penetrating new markets and building strategic partnerships in learning/e-learning, localisation, and translation product/service markets.

• Experience in the learning/e-learning, localization, translation, or service industries is highly desirable.

• Familiarity with the localization and translation industry and its potential synergies with learning/e-learningis a strong plus.

• Exceptional networking, relationship-building, and interpersonal skills.

• Strong strategic thinking, analytical, and problem-solving abilities.

• Excellent communication, presentation, and negotiation skills.

• Ability to work independently, take initiative, and thrive in a target-driven environment.

• Willingness to travel as required by business.

• Deep understanding of AGILE methodologies and extensive experience working within a learning, educational technology, or complex content delivery environment.

About IntraIntel.ai

At IntraIntel.ai, we are building a next-generation, AI-powered multi-tenant platform serving diverse industries including pharmaceutical, clinical research, manufacturing, textiles, and healthcare. Our mission is to empower businesses with intelligent insights, automation, and predictive decision-making capabilities that streamline operations and improve efficiency.

We are looking for a Senior Business Analyst who will act as the bridge between our customers and product development teams, translating complex business requirements into actionable insights and product features that align with IntraIntel.ai’s architecture and growth strategy.

⸻

Key Responsibilities

• Requirement Gathering & Analysis:

• Collaborate with multiple customers across domains such as manufacturing, clinical trials, pharmaceutical, and textiles to gather, document, and validate requirements.

• Conduct workshops, interviews, and brainstorming sessions to extract key business and functional needs.

• Translate high-level business needs into user stories, epics, and acceptance criteria in JIRA.

• Documentation & Communication:

• Prepare Business Requirement Documents (BRDs), Functional Specifications, and Process Flow Diagrams.

• Clearly communicate requirements to developers, architects, and QA teams, ensuring full understanding of scope and dependencies.

• Serve as the primary liaison between the business stakeholders and development team.

• Testing & Validation:

• Perform initial system validation, UAT preparation, and smoke testing to ensure requirements are correctly implemented.

• Collaborate with QA to define test cases and acceptance criteria.

• Track and log defects in JIRA, ensuring they are resolved before delivery.

• Project Planning & Scope Management:

• Work closely with project managers and solution architects to define project scope, milestones, and delivery timelines.

• Identify potential risks, dependencies, and change impacts, and communicate proactively to stakeholders.

• Contribute to effort estimation and prioritization discussions.

• Cross-Functional Collaboration:

• Partner with AI engineers, data scientists, cloud architects, and UX designers to ensure alignment between technical solutions and business goals.

• Ensure all customer inputs are converted into actionable, technically feasible tasks for development.

• Customer & Stakeholder Interaction:

• Conduct regular check-ins and demo sessions with customers to validate progress and gather feedback.

• Communicate technical solutions and project updates to non-technical stakeholders in an easy-to-understand manner.

• Represent IntraIntel.ai in customer meetings with professionalism and confidence.

Key Responsibilities

1. Platform & Application Architecture

• Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
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• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
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• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
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• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
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2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
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• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
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• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
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• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
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• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
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3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
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• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
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• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
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• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
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4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
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• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
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• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
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5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
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• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
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• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
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• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
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Key Skills & Qualifications

Technical Expertise

• Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
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• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
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• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
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• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
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• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
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• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
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Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
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• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
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• Knowledge of AI safety, risk frameworks, and prompt governance.
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• Strong analytical and communication skills for working across business and technical stakeholders.
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• Awareness of FinOps and cost optimization in token-based AI ecosystems.
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Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
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• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
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Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

About the Role

We are seeking an AI Product Manager to lead the full product lifecycle of our SaMD-compliant AI platform. You will act as the bridge between data scientists, developers, and clinicians, ensuring timely delivery of regulatory-grade features that align with hospital pilots and scale for long-term adoption.

This role requires hands-on experience with Agile delivery, CI/CD pipelines, and healthcare SaaS products, along with strong communication and presentation skills for customer-facing interactions.

Key Responsibilities

• Own the end-to-end product lifecycle, from roadmap definition to delivery and scaling.
• Translate clinical and technical requirements into actionable product features.
• Drive Agile ceremonies (sprint planning, backlog grooming, stand-ups, retrospectives).
• Prioritize product backlog to balance hospital pilot needs with long-term scalability.
• Ensure regulatory-grade quality standards (SaMD compliance) are met.
• Collaborate with engineering, data science, and clinical teams for delivery.
• Manage CI/CD release pipelines in coordination with DevOps teams.
• Prepare reports, dashboards, and customer-facing presentations (PowerPoint) to communicate progress, outcomes, and next steps.
• Engage with stakeholders, hospital partners, and customers to gather feedback and refine product vision.

Requirements

• 6–10 years of experience in Product or Delivery Management.
• Strong exposure to AI/ML-driven platforms or clinical healthcare SaaS.
• Proven expertise in Agile methodologies and CI/CD delivery environments.
• Experience working with cross-functional teams (data scientists, engineers, clinicians).
• Strong communication and stakeholder management skills.
• Excellent ability to create presentations, reports, and customer-facing documents.
• Prior experience with SaMD-compliant or regulated products (preferred).
• Bachelor’s or Master’s in Engineering, Computer Science, Healthcare IT, or related field.

Why Join Us?

• Work on cutting-edge AI products shaping the future of healthcare.
• Collaborate with clinicians, hospitals, and AI experts to create real-world impact.
• Be part of a fast-scaling, innovation-driven environment.

Job Title: AI Developer/Engineer

Location: Remote

Employment Type: Full-time

About the Organization 

We are a cutting-edge AI-powered startup that is revolutionizing data management and content generation. Our platform harnesses the power of generative AI and natural language processing to turn unstructured data into actionable insights, providing businesses with real-time, intelligent content and driving operational efficiency. As we scale, we are looking for an experienced lead architect to help design and build our next-generation AI-driven solutions.

About the Role

We are seeking an AI Developer to design, fine-tune, and deploy advanced Large Language Models (LLMs) and AI agents across healthcare and SMB workflows. You will work with cutting-edge technologies—OpenAI, Claude, LLaMA, Gemini, Grok—building robust pipelines and scalable solutions that directly impact real-world hospital use cases such as risk calculators, clinical protocol optimization, and intelligent decision support.

Key Responsibilities

• Build, fine-tune, and customize LLMs and AI agents for production-grade workflows
• Leverage Node.js for backend development and integration with various cloud services.
• Use AI tools and AI prompts to develop automated processes that enhance data management and client offerings
• Drive the evolution of deployment methodologies, ensuring that AI systems are continuously optimized, tested, and delivered in production-ready environments.
•  Stay up-to-date with emerging AI technologies, cloud platforms, and development methodologies to continually evolve the platform’s capabilities.
• Integrate and manage vector databases such as FAISS and Pinecone.
• Ensure scalability, performance, and compliance in all deployed AI systems.

Required Qualifications

• 2–3 years of hands-on experience in AI/ML development or full-stack AI integration.
• ​​Proven expertise in building Generative AI models and AI-powered applications, especially in a cloud environment.
• Strong experience with multi-cloud infrastructure and platforms,
• Proficiency with Node.js and modern backend frameworks for developing scalable solutions.
• In-depth understanding of AI prompts, natural language processing, and agent-based systems for enhancing decision-making processes.
• Familiarity with AI tools for model training, data processing, and real-time inference tasks.
• Experience working with hybrid cloud solutions, including private and public cloud integration for AI workloads.
• Strong problem-solving skills and a passion for innovation in AI and cloud technologies
• Agile delivery mythology knowledge.
• CI/CD pipeline deployment with JIRA and GitHub knowledge for code deployment
• Strong experience with LLMs, prompt engineering, and fine-tuning.
• Knowledge of vector databases (FAISS, Pinecone, Milvus, or similar).

Nice to Have

• Experience in healthcare AI, digital health, or clinical applications.
• Exposure to multi-agent AI frameworks.

What We Offer

• Flexible working hours. 
• Collaborative, innovation-driven work culture.
• Growth opportunities in a rapidly evolving AI-first environment.

About the Role:

We are looking for a skilled Full-Stack Developer with expertise in Python, JavaScript, and No-Code AI tools to join our dynamic team. The ideal candidate should be proficient in both backend and frontend development, capable of working with modern frameworks, and have experience in LLM prompt engineering, data extraction, and response formatting.

Key Responsibilities:

• Develop and maintain scalable backend services using FastAPI / Flask / Django.
• Build dynamic front-end applications using React / Next.js.
• Implement LLM-based solutions for data extraction and response formatting.
• Design and optimize databases using Milvus / Weaviate / Pinecone for vector storage and MongoDB / MySQL for structured data.
• Collaborate with cross-functional teams to deliver high-quality AI-driven applications.
• Ensure application performance, security, and scalability.
• Communicate technical ideas effectively through written and verbal communication.

Required Skills & Qualifications:

Technical Skills:

• Programming: Proficiency in Python and JavaScript.
• Backend: Experience with FastAPI / Flask / Django.
• Frontend: Strong understanding of React / Next.js.
• Database: Knowledge of at least one vector database (Milvus / Weaviate / Pinecone) and one relational or NoSQL database (MongoDB / MySQL).
• No-Code AI & LLM:
• Expertise in LLM Prompt Engineering.
• Experience with data extraction from context and response formatting.

Soft Skills:

• Strong written and verbal communication skills.
• Ability to collaborate effectively with teams and clients.
• Problem-solving mindset with a focus on innovation and efficiency.

Apply User-Centric Design Principles: Create multimedia assets that are visually engaging, easy to navigate, and optimized for the learner's experience.

Incorporate Web Content Accessibility Guidelines (WCAG): Produce multimedia content with an awareness of WCAG and basic digital accessibility considerations.

Contribute to Immersive Design & Gamification Augmented Reality (AR), Virtual Reality (VR) & Gamification: Design and create assets that can be utilized for interactive experiences, including those for AR and VR applications, and incorporate game mechanics and gamification elements as directed.

Task Performance & Self-Management: Manage individual tasks and timelines effectively, monitor personal progress against design goals, and contribute to overall program/project performance.

Design Execution for Learning: Create engaging multimedia assets (e.g., static graphics, simple animations, video edits, presentations, interactive elements) based on provided storyboards, content, and design specifications for learning artefacts.

Application of Design Principles: Apply a solid understanding of design principles, visual communication, typography, color theory, imagery & iconography, and layout & composition to all design outputs within learning artefacts.

Software Proficiency: Utilize industry-standard design software effectively to produce high-quality multimedia content for digital learning.

Content Integration for Learning: Work with provided content to ensure visual assets are integrated seamlessly and effectively support learning objectives within learning artefacts.

Team Collaboration: Collaborate effectively with Learning Architects, ISDs, SME, and other team members to understand program/project requirements and incorporate feedback.

Communication: Clearly communicate design ideas and progress to team members. Actively listen and incorporate constructive feedback on learning artifacts.

Quality Adherence: Ensure all design outputs for learning content adhere to established brand guidelines and project quality standards.

Customer Service Orientation: Strive to understand the needs of internal "customers" (Learning Architects, ISDs, SMEs) and deliver design solutions for learning artifacts that exceed expectations.

Self-Management: Manage individual tasks and timelines to contribute to program/project delivery and monitor personal progress against design goals.

Bachelor's degree in Graphic Design, Multimedia Design, Visual Arts, or a related field.

3-4 years of professional experience in multimedia design with a strong portfolio, preferably with some exposure to learning or educational content.

Proficiency in key Adobe Creative Suite applications (e.g., Photoshop, Illustrator, After Effects, Premiere Pro) relevant to multimedia and learning production.

Solid understanding of visual communication principles and best practices for digital learning.

Ability to translate concepts into visually appealing and functional designs, particularly for learning artifacts.

Good communication and interpersonal skills.

Awareness of WCAG and basic digital accessibility considerations.

Familiarity with creating assets for interactive experiences, including those for AR/VR applications, and an understanding of game mechanics and gamification elements.

Ability to take constructive feedback and iterate on designs. 

Understanding of AGILE methodologies and experience working within a learning, educational technology, or complex content delivery environment.