MEAN Stack Developer

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

Our Tech stack:

· Java 11, Spring Boot, React.JS

· MySQL, Redis, Elastic Stack, MongoDB

· Docker, K8s

· GitHub, Jenkins

· Slack, Jira

What we're looking for:

· Minimum of 5 years of experience as a software developer.

· Excellent knowledge of Java.

· Demonstrated skills in web-based development, including REST API s and JS frameworks such as Vue JS/React.

· Experienced with cloud platforms (AWS / GCP).

· Experienced with SQL and NoSQL databases.

· Experienced with CI/CD environments.

· Familiar with container technologies (Docker, Kubernetes).

· Proficient in agile programming practices.

· Strong analytical mind with a good dose of creativity.

· Meticulous person who strives to constantly improve his/her/their competencies.

· Excellent communication skills.

Nice-to-haves:

· Familiarity with Web sockets.

· Has contributed to open source projects and can point us to his/her/their GitHub account.

We are looking for a Full Stack Developer, to be a core member of our Engineering Team, who is a great problem solver, can learn quickly, and communicate clearly. You like to work in a fast-paced environment, want to own the work, get recognized for it and therefore startup environment excites you.

Responsibilities

• Work on end to end website development including frontend, backend and deployment. Build useful and handy tools in field of Admissions and consultancy
• Work on the core platform for Higher Education Aspirants with respect to admissions, resume building, interview experiences and application for B-Schools
• Build efficient, testable, and reusable modules and components
• REST API development for integration with frontend web components which would be easy to manage and scale
• Accurately understand and translate business and user needs into functional backend or frontend code to build robust features
• Participate in a culture of code reviews, writing tech specs, and collaborating closely with other people
• Writing standalone services with business logic to support automation workflows and integrations
• Support Marketing and Operations team with small tools, scripts or automations across multiple tools

Criteria

Hunger for learning and getting out of comfort zone to build amazing web applications & websites would be enough. Otherwise

• Basic understanding of backend, database and Server technologies
• Knowledge of Frontend technologies (HTML, CSS, JS, ReactJS, VueJS)
• Knowledge of atleast one Backend technologies (NodeJS, Python, ROR, GoLang etc)
• Understanding and knowledge of Database technologies (MySQL, MongoDB)
• Clear understanding of RESTful API development standards.
• Creating database schemas that represent and support business processes. Integration of multiple data sources and databases into one system.

About Company

MBA & Beyond is a global admission consulting startup for applicants who dare to question their purpose with a global MBA. We help purpose-driven applicants make it to the top business schools.

• Proficiency with NodeJs, ES6, Express;
• Experience in Source Control (Bitbucket/GIT);
• Experience in developing and scaling B2B applications.
• Knowledge and experience with using Restful API;
• Must be able to design components to drive reusability and performance;
• Must be able to build responsive design;
• Design, develop, and maintain code that meets requirements, is high quality, and performs efficiently and effectively to provide a great customer experience;
• Write production quality and thoroughly tested code.

Skills and Experience :

• 2-7 years of experience as a Java/J2EE developer.
• 1-3 years of experience with Angular / React is desirable.
• 2-5 years of experience in using Spring and Spring Boot frameworks.
• Thorough knowledge of server-side development.
• Proven experience as a Full Stack Developer or similar role.
• Good understanding of web services (WSDL SOAP, RESTful).
• Hands-on experience in using Application Servers like WebSphere.
• Expertise in relational databases (Oracle, SQL Server).
• AI/ML domain knowledge is desirable.
• Familiarity with common stacks.
• Knowledge of multiple frontend languages and libraries, like HTML/ CSS, JavaScript, XML, jQuery.
• Experience in implementation of Microservices
• Experience with AWS (S3, SQS, SNS, ECS, EC2, ALB, API Gateway, Lambda, etc.) is highly desirable
• Good understanding of Docker & Kubernetes is highly desired.
• Familiarity with databases (MySQL, MongoDB, PostgresSQL), web servers (Apache), and UI/UX designs.
• Excellent communication and teamwork skills.

About LevaData

LevaData, the Cognitive Sourcing Platform, offers global enterprises the ability to improve gross margins by reducing supply chain costs, with a focus on delivering measurable and accountable supply chain solutions and strategies that transform companies and markets. Customers include leaders in the top global supply chain organizations, as well as medium-sized OEMs seeking to achieve best-in-class direct materials sourcing practices. LevaData is privately held and headquartered in Sunnyvale, Calif. For more information, visit https://www.levadata.com/">www.levadata.com.

Levadata Clientele: IBM, Fitbit, Lenovo, Zebra, Poly, Commscope

LevaData Fundings:

June, 2018: Series B, $12 million.

Aug, 2017: Series A, $5 million.

JavaScript, jQuery, Angular or node, HTML, CSS, API consumption, DB knowledge, building responsive web apps.