### **Role Summary**
Innovantes is building AI\-enabled digital solutions for enterprise clients across automotive, healthcare, and analytics\-driven domains. We are looking for a **Backend Engineer with strong experience integrating and architecting AI services** (LLMs, vision, speech, embeddings) into scalable production systems.
This role focuses on **using AI services effectively** , not building ML models from scratch.
### **Core Responsibilities**
- Design and build **scalable backend architectures** using **Node.js**
- Develop **secure, production\-grade APIs** that integrate AI services such as:
- LLMs (text generation, summarization, classification)
- Vision APIs (image analysis, OCR)
- Speech APIs (STT/TTS)
- Architect **AI workflows** , including:
- Prompt orchestration
- Tool/function calling
- Streaming responses
- Multi\-step reasoning pipelines
- Build **provider\-agnostic abstractions** (avoid lock\-in to one AI vendor)
- Handle **cost control, rate limits, retries, fallbacks, and caching**
- Ensure **data security and privacy** , especially for enterprise clients
- Collaborate with frontend, analytics, and product teams
### **Technical Skills (Must Have)**
#### **Backend \& Architecture**
- Strong expertise in **Node.js** (Express / NestJS preferred)
- API\-first design (REST; GraphQL optional)
- Async processing, queues, background jobs
- Cloud\-native architecture experience (GCP/AWS/Azure)
#### **AI / LLM Integration (Critical)**
* Hands\-on experience integrating
- Text generation
- Embeddings \+ semantic search
- Classification \& extraction
- Deep understanding of:
- Token limits, context windows
- Prompt design vs system design
- Latency vs accuracy trade\-offs
- Structured outputs (JSON schemas, tools/functions)
#### **Data \& Storage**
- SQL (MySQL/Postgres)
- Familiarity with vector databases (conceptual \+ practical)
- Caching strategies (Redis or equivalent)
### **Good to Have**
- Python for AI tooling, agents, or batch workflows
- Experience with RAG systems
- Experience building AI\-powered enterprise tools (CRM, analytics, dashboards)
- Exposure to compliance\-conscious environments (PII, data governance)
- Node JS
- Python
- LLM integration
- Prompt orchestration
- Open AI APIs
- Gemini APIs
- Streaming responses