We are seeking a highly skilled GenAI / LLM Engineer to design, build, and scale production-grade AI systems. The role focuses on large language models, multimodal AI, retrieval systems, personalization, analytics, and AI safety.
Key Responsibilities
Design and implement LLM-powered applications using modern AI architectures
Build RAG (Retrieval-Augmented Generation) pipelines for structured and unstructured data
Develop PDF/document-based chat systems with embeddings and semantic search
Implement text generation, summarization, note creation, flashcards, and structured outputs
Build image-based AI solutions using OCR and vision-capable LLMs
Develop question generation systems (MCQs, subjective, practice questions)
Design context-aware AI memory systems
Implement AI moderation, safety filters, and misuse prevention
Build collaborative AI features and agent-based workflows
Develop AI-driven analytics and insights
Optimize cost, latency, and scalability
Required Skills
LLMs: OpenAI, Claude, Gemini, open-source models
Prompt engineering, tool calling, agents
Python (FastAPI preferred) or Node.js
Vector databases: Pinecone, FAISS, Weaviate, Chroma
REST APIs, async processing
Cloud platforms: AWS / GCP / Azure
Good to Have
LangChain / LlamaIndex
Multi-agent systems
Vision + OCR pipelines
AI analytics & monitoring
Soft Skills
Strong problem-solving and system design skills
Clear communication and documentation
Ownership mindset
Apply on
Hrd@intellypod.com
Job Types: Full-time, Permanent
Pay: Up to ?40,000.00 per month
Benefits:
Work from home
Work Location: Remote
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