ACROSSTEK™
Website:
lifeadvisory.com
Company:
https://www.linkedin.com/company/acrosstek
Industries: Technology, Information and Internet
Job details:
Remote
Experience: 4–5 Years
About the Role
We are looking for a highly skilled Full Stack Developer with strong experience in AI product development, MERN stack, and cloud architecture to join our team. This role is ideal for someone who has built AI-powered platforms from scratch, understands how to design scalable systems, and can take ownership across the full development lifecycle from product architecture to deployment.
You will work on building modern AI applications, scalable backend services, user-friendly frontends, and cloud-native infrastructure. The ideal candidate should be comfortable working in a fast-paced product environment and have hands-on experience with LLM integrations, AI workflows, APIs, databases, and production deployments.
Key Responsibilities
Full Stack Development
- Design, develop, and maintain end-to-end web applications using the MERN stack.
- Build responsive and scalable frontend interfaces using React.js / Next.js.
- Develop secure, high-performance backend services using Node.js, Express.js, and MongoDB.
- Create reusable components, APIs, and backend modules to support rapid product development.
- Ensure code quality, maintainability, and performance across frontend and backend systems.
AI Platform Development
- Build and scale AI-powered platforms/products from scratch.
- Integrate LLMs, AI APIs, vector databases, embeddings, RAG pipelines, and prompt workflows into production applications.
- Work on AI use cases such as chatbots, document intelligence, workflow automation, knowledge assistants, recommendation engines, or custom AI copilots.
- Develop backend workflows for AI orchestration, model inference, prompt execution, response handling, and usage monitoring.
- Optimise AI application performance, latency, reliability, and cost efficiency.
Backend & API Engineering
- Architect RESTful and/or GraphQL APIs for web and AI products.
- Build robust authentication, authorisation, logging, queue-based processing, and microservice-ready backend systems.
- Work with structured and unstructured data pipelines for AI and application features.
- Integrate third-party APIs, SaaS platforms, payment systems, and AI services as required.
- Implement scalable database design, caching strategies, and data storage best practices.
Cloud & DevOps
- Deploy, manage, and optimise applications on cloud platforms such as AWS, GCP, or Azure.
- Set up and maintain CI/CD pipelines, staging/production environments, and release workflows.
- Work with Docker, containerised services, cloud storage, serverless functions, monitoring tools, and scalable hosting environments.
- Design cloud infrastructure for reliability, performance, security, and scale.
- Monitor production systems, troubleshoot issues, and ensure uptime of AI and application services.
Architecture & Ownership
- Translate product requirements into technical architecture and execution plans.
- Take ownership of the product lifecycle from concept, development, testing, deployment, and post-release support.
- Collaborate with product managers, designers, AI engineers, and leadership teams to build scalable solutions.
- Participate in technical decision-making, code reviews, sprint planning, and system improvement discussions.
- Mentor junior developers where required and contribute to engineering best practices.
Required Skills & Qualifications
- 4–5 years of hands-on experience in full stack development.
- Strong experience with MERN stack: MongoDB, Express.js, React.js, Node.js.
- Proven experience building AI-based products/platforms from scratch.
- Hands-on experience integrating OpenAI / Anthropic / Gemini / Hugging Face APIs or similar AI services.
- Good understanding of LLMs, prompt engineering, embeddings, vector databases, RAG workflows, and AI application architecture.
- Strong knowledge of JavaScript / TypeScript.
- Experience with REST APIs, backend architecture, authentication systems, and scalable database design.
- Strong cloud deployment experience with AWS / GCP / Azure.
- Experience with Docker, Git, CI/CD pipelines, deployment automation, and environment management.
- Familiarity with Redis, queues, background jobs, logging, and monitoring tools.
- Ability to work independently in a remote product environment with strong ownership and communication skills.
Good to Have
- Experience with Next.js and modern frontend architecture.
- Experience with PostgreSQL or hybrid database systems in addition to MongoDB.
- Familiarity with LangChain, LlamaIndex, Pinecone, Weaviate, ChromaDB, or similar AI tooling.
- Experience building SaaS products, AI copilots, internal tools, automation platforms, or knowledge systems.
- Understanding of system design, microservices, event-driven architecture, and performance optimisation.
- Exposure to analytics, observability, and security best practices in production environments.
- Prior startup or product-building experience is highly preferred.
Click on Apply to know more.