UI Designer

Staff Engineer, Digital Audio Specialist

Location: Remote

Employment Type: Full-time

Experience: 5.5-7 years

Job description

REQUIREMENTS:

• Strong experience in Digital Audio Engineering, Audio Technology Platforms, and Media Infrastructure
• Deep hands-on expertise in Digital Audio Processing, Encoding, Streaming, and Audio Delivery Technologies (Must Have)
• Strong experience with Audio Content Management Systems and Digital Media Workflows (Must Have)
• Hands-on experience with audio editing, mixing, mastering, and broadcast technologies
• Strong understanding of audio codecs, compression standards, and streaming protocols (Must Have)
• Experience with cloud-based media platforms and audio content distribution networks
• Strong experience with automation and workflow optimization in digital media environments
• Experience managing large-scale audio content libraries and metadata systems
• Hands-on experience with Digital Asset Management (DAM) platforms
• Strong understanding of audio quality assurance, testing, and troubleshooting
• Experience integrating audio platforms with third-party applications and APIs
• Knowledge of podcasting, internet radio, OTT audio, and streaming ecosystems
• Experience with monitoring, analytics, and performance optimization of audio platforms
• Strong understanding of security, compliance, and content rights management
• Experience working in Agile/Scrum environments
• Strong troubleshooting, analytical, and problem-solving skills
• Excellent communication and stakeholder management skills

RESPONSIBILITIES:

• Design, implement, and manage digital audio platforms and content delivery systems
• Support audio processing, encoding, streaming, and distribution workflows
• Manage audio content lifecycle including ingestion, storage, metadata, and publishing
• Ensure high-quality audio delivery across web, mobile, and streaming platforms
• Develop and maintain automation solutions for audio operations and media workflows
• Troubleshoot audio quality issues, streaming failures, and platform performance problems
• Collaborate with content, engineering, and product teams to deliver audio solutions
• Manage integrations between audio platforms, content management systems, and third-party services
• Monitor platform health, streaming performance, and user experience metrics
• Implement best practices for audio quality, scalability, reliability, and security
• Support digital broadcasting, podcasting, and on-demand audio initiatives
• Perform root cause analysis and resolution for production incidents
• Define standards, processes, and governance for audio platform operations
• Optimize infrastructure and workflows to improve operational efficiency
• Mentor junior engineers and provide technical leadership on digital audio initiatives
• Participate in Agile ceremonies and continuous improvement programs
• Work closely with stakeholders to understand business requirements and deliver optimal solutions
• Ensure compliance with content rights, licensing, and regulatory requirements

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields

Job Title: AI Engineer

Location: Bangalore, India

About Us:

Meraki Labs stands at the forefront of India's deep-tech innovation landscape, operating as a dynamic venture studio established by the visionary entrepreneur Mukesh Bansal. Our core mission revolves around the creation and rapid scaling of AI-first and truly "moonshot" startups, nurturing them from their nascent stages into industry leaders. We achieve this through an intensive, hands-on partnership model, working side-by-side with exceptional founders who possess both groundbreaking ideas and the drive to execute them.

Currently, Meraki Labs is channeling its significant expertise and resources into a particularly ambitious endeavor: a groundbreaking EdTech platform. This initiative is poised to revolutionize the field of education by democratizing access to world-class STEM learning for students globally. Our immediate focus is on fundamentally redefining how physics is taught and experienced, moving beyond traditional methodologies to deliver an immersive, intuitive, and highly effective learning journey that transcends geographical and socioeconomic barriers. Through this platform, we aim to inspire a new generation of scientists, engineers, and innovators, ensuring that cutting-edge educational resources are within reach of every aspiring learner, everywhere.

Role Overview:

As an AI Engineer on the Capacity team, you will design, build, and deploy the intelligent systems that power our AI Tutor and Simulation Lab.

You’ll collaborate closely with prompt engineers, product managers, and full-stack developers to build scalable AI features that connect language, reasoning, and real-world learning. This is not a traditional ML ops role,  it’s an opportunity to engineer how intelligence flows across the product: from tutoring interactions to real-time physics reasoning.

Your Core Impact

• Build the AI backbone that drives real-time tutoring, contextual reasoning, and simulation feedback.
• Translate learning logic and educational goals into deployable, scalable AI systems.
• Enable the AI Tutor to think, reason, and respond based on structured academic material and live learner inputs.

Key Responsibilities:

1. AI System Architecture & Development

• Design and develop scalable AI systems that enable chat-based tutoring, concept explainability, and interactive problem solving.
• Implement and maintain model-serving APIs, vector databases, and context pipelines to connect content, learners, and the tutor interface.
• Contribute to the design of the AI reasoning layer that interprets simulation outputs and translates them into learner-friendly explanations.

2. Simulation Lab Intelligence

• Work with the ML team to integrate LLMs with the Simulation Lab; enabling the system to read experiment variables, predict outcomes, and explain results dynamically.
• Create evaluation loops that compare student actions against expected results and generate personalized feedback through the tutor.
• Support the underlying ML logic for physics-based prediction and real-time data flow between lab modules and the tutor layer.

3. Model Integration & Optimization

• Fine-tune, evaluate, and deploy LLMs or smaller domain models that serve specific platform functions.
• Design retrieval and grounding workflows so that all model outputs reference the correct textbook or course material.
• Optimize performance, latency, and scalability for high-traffic, interactive learning environments.

4. Collaboration & Research

• Partner with Prompt Engineers to ensure reasoning consistency across tutoring and simulations.
• Work with Product and Education teams to define use cases that align AI behavior with learning goals.
• Stay updated with new model capabilities and research advancements in RAG, tool use, and multi-modal learning systems.

5. Data & Infrastructure

• Maintain robust data pipelines for model inputs (textbooks, transcripts, lab data) and evaluation sets.
• Ensure privacy-safe data handling and continuous model performance tracking.
• Deploy and monitor AI workloads using cloud platforms (AWS, GCP, or Azure).etc.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Eagerness to learn, innovate and deliver impactful results.
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Required Qualifications & Skills

• 3–4 years of experience in AI engineering, ML integration, or backend systems for AI-driven products.
• Strong proficiency in Python, with experience in frameworks like FastAPI, Flask, or LangChain.
• Familiarity with LLMs, embeddings, RAG systems, and vector databases (Pinecone, FAISS, Chroma, etc.).
• Experience building APIs and integrating with frontend components.
• Working knowledge of cloud platforms (AWS, GCP, Azure) and model deployment environments.
• Understanding of data structures, algorithms, and OOP principles.

We are looking for an experienced and results-driven Franchise Sales Manager to lead our franchise expansion across multiple cities in India. The role involves extensive client interaction, legal documentation, and operational oversight.  

Key Responsibilities:

- Drive franchise sales and onboard new franchise partners across India.  

- Present the franchise model and conduct multiple meetings to close deals.  

- Handle end-to-end legal documentation and ensure timely agreement signings.  

- Manage complete setup of franchise stores, ensuring seamless execution.  

- Build strong relationships with franchise partners and guide them on ROI and break-even strategies.  

- Collaborate with the marketing team to align franchise sales efforts with promotional activities.  

- Provide regular progress reports to the Chief Executive Officer.  

- Travel frequently to meet clients, conduct site visits, and oversee franchise operations.  

Qualifications & Skills:

- Proven experience in franchise sales or a similar role.  

- Strong understanding of franchise models, ROI, and break-even analysis.  

- Excellent communication, negotiation, and relationship-building skills.  

- Proficiency in handling legal documentation and agreements.  

- Ability to work under pressure and achieve sales targets.  

- Willingness to travel extensively.  

- Strong organizational and project management abilities.  

Desired Candidate Profile

• MBA/ engineering from premier Institutions
• 4-7 years experience with at least 3 years in areas relevant to operations or operations design (for Pre MBA profiles)
• 2-4 years experience with at least 1 year in areas relevant to operations or operations design (for MBA profiles)
• Experience in working on marketplace/ blue-collared mobile products
• Deep analytical thinking and problem-solving abilities
• Strong data and analytics capabilities
• Product mindset and problem-solving ability
• Ability to look at the big picture while solutioning    

As a Software Engineer, you will participate in all aspects of software development (design, development, testing, maintenance, support) of the business’s applications. This is a hands-on development role responsible for design, implementation, and life cycle management of the product built/configured on the Huron platform.

You will also have the opportunity to work with one or more development teams that are responsible for web applications, able contribute to the design, implementation, and maintenance of applications and technologies owned by the assigned team, be delivering quality client and server-side code, markup, and CSS as needed, while adhering to best practices and standard. In addition, you’d be expected to attend all team meetings while making meaningful contributions and provide regular updates (via tools, meetings, communication, etc.) to the team lead of assigned teams.

You’ll be part of the Huron Higher Education team with opportunities to collaborate, learn and grow while impacting some of the most prestigious higher education and research institutions.

Let’s get to work – together.

• Apply Software Engineering competencies to design and develop software products.
• Solve complex technical problems with help from Lead Engineers
• Interact with key stakeholders from Product Management, Implementation and Support teams
• Develop in-depth knowledge of business processes facilitated by our software products.
• Create and execute a complete set of unit test cases.
• Interact and pair program with other Software engineers on the team to build high quality products.
• Troubleshoot deployment and resolve environmental issues in a timely manner across multiple projects.
• Work closely with the offshore development team to ensure quality standards are being met
• Be part of the scrum for dev team
• Support and update existing internal applications and services.
• Improve and implement modular, well-documented, responsive, and accessible JavaScript frontend components
• Authoring developer documentation and release notes
  
  
  

• Four-year technical degree in Computer Science, Information Technology or Information Systems or equivalent professional experience
• 3 + years of relevant experience
• Strong computer science skills and experience
• Highly proficient in .NetCore and Visual Studio
• Familiar with NextJS/React/TypeScript for front end development
• Unit testing experience with NUnit or other testing frameworks
• Familiarity in AWS Cloud Services like CloudFront, Cognito, Lambda, SNS, SES, Elastic Search, Event Bridge, S3, etc
• Familiarity with developing and using Rest API
• Familiarity with version control systems such as GIT required.
• Experience working with Postgres Aurora, DynamoDB, Elastic Cluster a plus
• Familiar in Linux
• Familiar with npm packages
• Authoring developer documentation and release notes
• Familiarity with agile development methodologies
• Ability to work independently or in a group with minimal supervision.
• Strong analytical thinking and problem-solving skills and demonstrated ability and experience in design for generality and abstraction.
• Experience is preferred in the following:
  • REST and developing RESTful APIs using the OpenAPI standard.
  • HTML 5, CSS, JavaScript, React
  • Aurora Postgress, DynamoDB
  • Developing microservices in Azure or AWS
  • Azure DevOps
  • .NET Core

Key Responsibilities :

- Take on development of key modules in the application
- You will be responsible for day-to-day development tasks across the Software Development Life Cycle assigned to your team.
- Development of application framework components
- Allocation of development tasks to the team
- Code review on a regular basis and ensuring code quality and adherence to company coding standards.

Required Technical Skills :

Angular :

- Modules, components basic architecture
- Typescript in depth
- Reactive forms
- CRUD operations in paged tabular listing
- Validation and error handling in Angular
- Security concepts like JWT based authentication, oAuth with social platforms, route guards, role driven menu
- Server-side rendering (SSR) with Angular Universal
- PDF making and email sending using SSR
- Localization and internationalization

ASP.Net C# Web API :

- Controllers
- Models with validation attributes, custom validations
- Asynchronous programming
- Error handling and logging
- Server side UI table operations - sorting, searching, paging, page sizing
- Entity framework with database first approach, edmx designer 
-React JS, Angular JS

SQL Server :

- Tables, views, stored procedures, functions
- Optimizations - keys, indexes, partitions
- Working with XML/JSON data

HTML/CSS :

- JavaScript/jQuery, CSS 3.0/Less/SCSS,
- Bootstrap
- Responsive design

As a Senior Software Engineer you have complete ownership of building out the Docexa product along with product people and the rest of the engineering team. This role will act as a great springboard to accelerate career growth & transition into a Tech Lead level role.

Your daily life

• Architecting of the whole platform
• Development of server-side logic
• Building new services and APIs
• Developing core business logic
• Maintenance of current APIs
• Improving the performance and reliability of our systems as we scale

Must-have skills

• You’ve been building web applications professionally for 4+ years
• You’re proficient in PHP 7, Laravel, and PostgreSQL
• You possess strong OOP and design pattern knowledge
• You are familiar with modern technology systems: AWS, load balancers, Kafka queues, caching, etc.
• You write understandable, testable and easy to maintain code
• You’ve the ability to build RESTful APIs
• Explaining complex technical concepts to designers, support team, and fellow engineers is not a problem for you
• Well versed with the fundamentals of computer science and distributed systems