Rapid Acceleration Partners (RAP) is hiring for a Full-Stack Engineer I in Chennai. This is an on-site, full-time opportunity for engineers with 1β2 years of professional experience who want to work across frontend, backend, APIs, databases and AI-powered workflows.
π Job Details
π’ Company: Rapid Acceleration Partners
πΌ Role: Full-Stack Engineer I
π Location: Chennai, Tamil Nadu
π’ Work Model: On-site
πΌ Experience: 1β2 years
π Batch: 2021 / 2022 / 2023 / 2024
π° Expected CTC: βΉ12β22 LPA as mentioned in the hiring post; may vary
π Employment: Full-time
π» Core Skills: React, TypeScript/JavaScript, Node.js/Express.js, PostgreSQL, MongoDB, REST APIs
π€ AI Exposure: LLM APIs, AI services and agent-based workflows
π’ About Rapid Acceleration Partners
Rapid Acceleration Partners develops AI-powered enterprise operations and automation solutions through its RAPFlow platform. The company’s current platform focuses on connecting enterprise systems, data, knowledge sources and AI capabilities to automate complex operational workflows.
RAPFlow includes capabilities around AI pipelines, LLMs, SLMs, computer vision, statistical models, autonomous agents, knowledge stores and production deployment. The company also maintains a Chennai office at Arihant Technopolis on Rajiv Gandhi Salai in Kottivakkam.
π» What Will You Work On?
Key responsibilities include:
πΉ Developing frontend and backend components
πΉ Building REST APIs and third-party integrations
πΉ Working with React, TypeScript, Node.js, PostgreSQL and MongoDB
πΉ Integrating applications with LLM APIs and AI services
πΉ Contributing to AI agents and agent-based workflows
πΉ Debugging frontend, backend, API and database issues
πΉ Writing automated tests and maintainable production code
πΉ Supporting CI/CD and production deployments
πΉ Participating in code reviews and technical discussions
πΉ Taking features from requirements through development, testing and delivery
π Why This Role Is Good for Experience?
This role offers exposure beyond traditional frontend or backend development. Engineers can work across React + Node.js + databases + APIs + cloud + AI integrations, giving them experience with the complete lifecycle of a modern software feature.
The AI component is especially relevant because the role involves integrating LLM APIs and contributing to AI-agent workflows. RAP’s platform itself combines AI capabilities with enterprise systems, knowledge sources and operational workflows.
π§ Skills Required
πΉ JavaScript / TypeScript
πΉ React.js and modern frontend development
πΉ Node.js / Express.js
πΉ PostgreSQL and MongoDB
πΉ REST API development and integration
πΉ Git and version control
πΉ Data structures and algorithms
πΉ Debugging and troubleshooting
πΉ Unit/integration testing
πΉ Basic software architecture concepts
πΉ Python as an additional backend/AI skill
πΉ Docker and containerization
πΉ Redis/Kafka fundamentals
πΉ AWS, Azure or GCP basics
πΉ CI/CD concepts
πΉ LLM API integration and AI-agent fundamentals
πΉ Application security and PII awareness
π― Preparation Tips
Start with a full-stack project that includes an AI feature. For example, build a React + TypeScript frontend, Node.js/Express backend, PostgreSQL database and an LLM API integration. Be prepared to explain the architecture, API flow, authentication, database design and error handling.
Revise JavaScript/TypeScript deeply, particularly async/await, promises, closures, array methods, error handling and TypeScript types/interfaces.
Because this JD specifically mentions AI agents, understand the difference between a basic LLM API call and an agentic workflow, including tools, context, multi-step execution and human intervention.
Also practice debugging scenarios where an issue could originate in the frontend, API, backend or database, because the position explicitly requires cross-layer troubleshooting.
π Resume Tips
Place React, TypeScript, Node.js, PostgreSQL/MongoDB and REST APIs prominently in your technical skills section.
Your project descriptions should demonstrate end-to-end ownership. Instead of writing “Developed a React application,” explain the architecture and your contributionβfor example, building React components, developing Node.js APIs, designing database schemas and integrating external services.
If you have used OpenAI/other LLM APIs, RAG, AI agents, Docker, AWS, Redis, Kafka or CI/CD, mention them only where you have genuine hands-on experience.
Also mention AI-assisted development tools such as Cursor or Claude Code if you have actually used them. The JD specifically values thoughtful use of AI for learning, productivity and software development.
π° Salary Range
The hiring information provided states an expected CTC of βΉ12β22 LPA, with the note that it may vary. This should be treated as the advertised/expected range rather than a guaranteed offer.
Public salary data is limited and inconsistent: Glassdoor currently shows a small sample for Full Stack Engineer roles, including a βΉ6 LPA historical submission, while another 2026 self-reported dataset lists βΉ13.5 LPA for Software Engineer/ML-AI submissions in Chennai. These figures are not a reliable substitute for the compensation offered for this specific opening.
π§βπ» Expected Interview Rounds
πΉ Recruiter/Initial Screening: Experience, location, notice period and role alignment
πΉ Coding/Technical Round: JavaScript/TypeScript, programming fundamentals, DSA and problem solving
πΉ Full-Stack Technical Round: React, Node.js, APIs, databases and debugging
πΉ System/Project Discussion: Architecture, trade-offs, scalability and your previous projects
πΉ AI/Engineering Discussion: LLM APIs, AI agents and AI-assisted development, where applicable
πΉ Final/HR Discussion: Communication, ownership, collaboration and expectations
π© How to Apply?
π Application Link: Click Here
Candidates interested in this Full-Stack Engineer I opportunity should apply through the hiring channel associated with the current Rapid Acceleration Partners opening. The current listing confirms the position as Full-Stack Engineer I, Chennai, on-site, 1β2 years of experience and full-time.
π₯ Key takeaway: These opening combines full-stack engineering with enterprise AI, so candidates should prepare not only React and Node.js but also API integration, databases, debugging, system thinking and practical LLM/agent concepts.
