APPLICATION ENGINEER / FULL-STACK AI INTEGRATION DEVELOPER

Experience: 5–7+ Years in software development, including hands-on full-stack development and practical AI integration.

ABOUT THE ROLE We are looking for a practical AI Application Engineer who can identify where AI can solve business problems and integrate AI capabilities into real web and mobile applications. This is an application engineering role, not a research scientist role. Strong

Software Engineering Skills Are Essential, Ideally With Experience In the MERN stack.

KEY RESPONSIBILITIES - Work With Business Stakeholders To Understand workflows and identify suitable AI use cases. - Assess whether a problem is best solved with conventional code, a third-party service, or an AI model. - Build AI-powered application features such as chatbots,

document understanding, summarization, classification, information extraction, and workflow automation. - Integrate LLM APIs such as

OpenAI, Google Gemini, or equivalent providers into web and mobile applications. - Design prompts, structured outputs, tool/function calling, context handling, and error/retry strategies. - Where appropriate, implement retrieval-augmented generation (RAG), embeddings,

and document search. - Evaluate AI outputs for reliability and build validation, fallback, and human-review mechanisms. - Consider privacy,

access control, prompt injection, hallucinations, latency, and usage costs.



- Use AI development tools to improve coding and testing productivity while reviewing generated code carefully. - Collaborate with frontend, backend, mobile, QA, and DevOps teams. - Document AI workflows, limitations, costs, and expected behavior. - Explain technical options, risks, and business trade-offs to non-technical stakeholders.

REQUIRED SKILLS - 5–7+ years of software development experience; strong production application engineering experience. - Robust

JavaScript/TypeScript and Node.js skills; MERN experience preferred. -

Experience integrating external APIs and designing reliable backend services. - Hands-on experience with LLM APIs and building AI-enabled application features. - Understanding of prompt design, structured outputs, model limitations, and AI response evaluation. - Knowledge of security, data privacy, testing, logging, and production troubleshooting. - Strong analytical skills and ability to turn ambiguous business needs into a practical solution.

GOOD TO HAVE - RAG, embeddings, vector databases, agent/tool workflows,

and document processing. - React Native experience. - Cloud deployment,

Docker, CI/CD, and monitoring. - Experience measuring AI feature quality, latency, and cost.

IDEAL CANDIDATE Someone who can build useful AI features that work reliably in production, rather than only demonstrating prompts or prototypes.

Skills: docker,ci/cd,react,typescript,node.js,javascript

📌 Application Engineer / Full-Stack Ai Integration Developer (Mumbai)
🏢 Pharmizza Technology Solutions
📍 Mumbai