MEAN Stack Developer

AI-Native Software Developer Intern

Build real AI agents used daily across the company

We’re looking for a high-agency, AI-native software developer intern to help us build internal AI agents that improve productivity across our entire company (80–100 people using them daily).

You will ship real systems, used by real teams, with real impact.

If you’ve never built anything outside coursework, this role is probably not a fit.

What You’ll Work On

You will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.

Examples of problems you may tackle:

Internal AI agents for:

• Knowledge retrieval across Notion / docs / Slack
• Automated report generation
• Customer support assistance
• Process automation (ops, hiring, onboarding, etc.)
• Decision-support copilots
• Prompt engineering + structured outputs + tool-using agents

Building workflows using:

• LLM APIs
• Vector databases
• Agent frameworks
• Internal dashboards
• Improving reliability, latency, cost, and usability of AI systems
• Designing real UX around AI tools (not just scripts)

You will own features end-to-end:

• Problem understanding
• Solution design
• Implementation
• Testing
• Deployment
• Iteration based on user feedback

What We Expect From You

You must:

• Be AI-native: you actively use tools like:
• ChatGPT / Claude / Cursor / Copilot
• AI for debugging, scaffolding, refactoring
• Prompt iteration
• Rapid prototyping
• Be comfortable with at least one programming language (Python, TypeScript, JS, etc.)
• Have strong critical thinking
• You question requirements
• You think about edge cases
• You optimize systems, not just make them “work”
• Be high agency
• You don’t wait for step-by-step instructions
• You proactively propose solutions
• You take ownership of outcomes
• Be able to learn fast on the job

Help will be provided but you will not be spoonfed.

Absolute Requirement (Non-Negotiable)

If you have not built any side projects with a visible output, you will most likely be rejected.

We expect at least one of:

• A deployed web app
• A GitHub repo with meaningful commits
• A working AI tool
• A live demo link
• A product you built and shipped
• An agent, automation, bot, or workflow you created

Bonus Points (Strong Signals)

These are not required but will strongly differentiate you:

• Built projects using:
• LLM APIs (OpenAI, Anthropic, etc.)
• LangChain / LlamaIndex / custom agent frameworks
• Vector DBs like Pinecone, Weaviate, FAISS
• RAG systems
• Experience deploying:
• Vercel, Fly.io, Render, AWS, etc.
• Built internal tools for a team before
• Strong product intuition (you care about UX, not just code)
• Experience automating your own workflows using scripts or AI

What You’ll Gain

You will get:

• Real experience building AI agents used daily
• Ownership over production systems
• Deep exposure to:
• AI architecture
• Product thinking
• Iterative engineering
• Tradeoffs (cost vs latency vs accuracy)
• A portfolio that actually means something in 2026
• A strong shot at long-term roles based on performance

If you perform well, you won’t leave with a certificate, you'll leave with real-world building experience.

Who This Is Perfect For

• People who already build things for fun
• People who automate their own life with scripts/tools
• People who learn by shipping
• People who prefer responsibility over structure
• People who are excited by ambiguity

Who This Is Not For

Be honest with yourself:

• If you need step-by-step instructions
• If you avoid open-ended problems
• If you’ve never built anything outside assignments
• If you dislike using AI tools while coding

This will be frustrating for you.

How To Apply

Send:

• Your GitHub
• Links to projects (deployed preferred)
• A short note explaining:
• What you built
• Why you built it
• What you’d improve if you had more time

Strong portfolios beat strong resumes.

Key Responsibilities 

• Design, develop, and deploy scalable .NET applications and microservices supporting core 

retail operations.

• Build and maintain robust integrations using Kafka, REST APIs, and middleware 

components.

• Work closely with product, POS, merchandising, warehousing, and ERP teams to translate 

business needs into reliable technical solutions.

• Optimize system performance and ensure integrations remain stable across high-volume 

retail cycles.

• Implement best practices in coding, testing, CI/CD, and cloud-native architectures.

• Troubleshoot production issues with speed and a cool head—especially when it impacts 

stores.

• Document technical designs, data flows, and integration contracts clearly.

Required Skills & Experience 

• 6–8+ years of hands-on full stack development using .NET Core / .NET 6+, C#, and 

modern frontend frameworks (React/Angular preferred).

• Strong expertise in Kafka (producers, consumers, topics, partitions, schema registry).

• Solid experience designing RESTful APIs and integrating with enterprise systems.

• Prior experience in retail technology is non-negotiable—POS, inventory, warehousing, or 

ERP exposure is essential.

• Strong knowledge of relational databases (SQL Server, PostgreSQL) and caching 

frameworks.

• Experience building scalable, distributed systems that can handle peak loads.

• Familiarity with containerization (Docker/Kubernetes) is a plus.

• Excellent problem-solving skills and the ability to work independently on a contract basis.

Nice to Have 

• Experience with message brokers beyond Kafka (e.g., RabbitMQ)

• Exposure to cloud platforms (Azure/AWS/GCP)

• Knowledge of CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)

• Understanding of retail data models and omnichannel workflows

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.

Job Title: Node.js / AI Engineer

Department: Technology

Location: Remote

Company: Mercer Talent Enterprise

Company Overview:Mercer Talent Enterprise is a leading provider of talent management solutions, dedicated to helping organizations optimize their workforce. We foster a collaborative and innovative work environment where our team members can thrive and contribute to our mission of enhancing talent strategies for our clients.

Position Overview:We are looking for a skilled Node.js / AI Engineer to join our Lighthouse Tech Team. This role is focused on application development, where you will be responsible for designing, developing, and deploying intelligent, AI-powered applications. You will leverage your expertise in Node.js and modern AI technologies to build sophisticated systems that feature Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) pipelines.

Key Responsibilities:

• Develop and maintain robust and scalable backend services and APIs using Node.js.
• Design, build, and integrate AI-powered features into our core applications.
• Implement and optimize Retrieval-Augmented Generation (RAG) systems to ensure accurate and context-aware responses.
• Develop and orchestrate autonomous AI agents to automate complex tasks and workflows.
• Work with third-party LLM APIs (like OpenAI, Anthropic, etc.) and open-source models, fine-tuning and adapting them for specific use cases.
• Collaborate with product managers and developers to define application requirements and deliver high-quality, AI-driven solutions.
• Ensure the performance, quality, and responsiveness of AI-powered applications.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of professional experience in backend application development with a strong focus on Node.js.
• 2+ years of hands-on experience in AI-related development, including building applications that integrate with Large Language Models (LLMs).
• Demonstrable experience developing AI agents and implementing RAG patterns.
• Familiarity with AI/ML frameworks and libraries relevant to application development (e.g., LangChain, LlamaIndex).
• Experience with vector databases (e.g., Pinecone, Chroma, Weaviate) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Benefits:

• Competitive salary and performance-based bonuses.
• Professional development opportunities.

OpenGov is home to an exceptional team - passionate about our mission to power more effective and accountable government. By bringing the OpenGov Cloud to our nation's state and local government, we’re transforming communities so they can thrive! 

Imagine yourself being able to help small business owners open their doors faster, ensuring our tax dollars are accounted for, creating safer infrastructure, modernizing the permitting process, and assisting with disaster recovery. The work you do here every day has a meaningful impact on people's lives!

🌟 OpenGov is a 2023 Top Workplaces USA award winner and a Forbes America's Best Startup Employer 🌟

Join our smart, fun, and humble team to experience the most rewarding career of your life!

Job Summary:

As a  Software Engineer II  at OpenGov, you'll build best-in-class SaaS solutions that enable efficiency, transparency, and accountability within government agencies. You'll be a key member of our engineering team, delivering new features and improvements in a fast-paced, agile environment using modern technologies, including ReactJS, Javascript, GraphQL, and NodeJS.

A typical day in this role would provide opportunities to design, implement and optimize complex applications for speed and scalability, and resolve various unique technical challenges. Strong collaboration skills with the product, UX, and platform engineers coupled with the ability to execute quickly will enable your success.

Responsibilities:

• Develop, test, and deploy high-quality software with minimum supervision
• Write clean, efficient, and well-documented code following industry best practices.
• Troubleshoot, debug, and resolve complex technical issues.
• Contribute to continuous improvement and operational excellence 
• Participate in code reviews to ensure code quality and adherence to coding standards.
• Stay up-to-date with emerging technologies and industry trends to drive innovation within the team
• Contribute to OpenGov’s Engineering culture of innovation, leading-edge technology adoption and quality

Requirements and Preferred Experience:

• BA/BS in a computer-science-related discipline or equivalent experience required
• 3+ years of professional experience in developing cloud native applications.
• Proficiency in Java or C++ or C# or equivalent program language is required.
• Proficiency in Python, JavaScript, ReactJS, and NodeJS is required 
• Proficiency in data structures, database concepts, algorithms and observability is required
• Working knowledge of event-driven architecture and Kafka preferred
• Working knowledge of ElasticSearch/OpenSearch preferred

What makes OpenGov unique

» Leadership: CEO Zac Bookman (MPA from Harvard and JD from Yale) is truly a mission-driven CEO. He was named one of the 100 most Intriguing Entrepreneurs by Goldman Sachs, a Tech Pioneer by the World Economic Forum, and SF and Silicon Valley Business Times' 40 under 40 class of 2018!

» Growth: Record breaking growth with 1,800+ governments (and counting) using our products. Click here for read more.

» Culture: Winner of 2023 Top Workplaces USA award, Awarded Top 25 Cloud Companies to Work For, Winner of Forbes 2022 Best Startup Employers, 50 Best Workplaces award. Check out our Careers Video!

» Product: Named to the GovTech 100 (seven consecutive years), we are the leader in cloud software for our nation's cities, counties, and state agencies.

» Mission Driven: We are a technology company with a passion for the mission. We're powering more effective and accountable government.

Come join us and make a positive social impact!

OpenGov is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Roles and Responsibilities 

1) Understand client requirements and functionalities. 

2) Write well-designed, testable, efficient code. 

3) Responsible for solving complex technical issues. 

4) Ensure quality projects are delivered within defined timelines. 

5) Active involvement in client communication to understand functional requirements. 

6) Maintain high standards of quality for code, documentation and other deliverables. 

Required Skills 

1) Good experience in Angular/React

2) Hand on Node.JS./Express JS 

3) Database : MYSQL/MongoDB 

4) Experience in Java Script, Typescript. 

5)Good experience in HTML5, CSS3, JavaScript, Jquery 

6) Experience working in an Agile environment. 

7) Good communication skills.