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.
- Strong 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.
- Solid 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 (Mumbai)
🏢 Pharmizza Technology Solutions
📍 Mumbai