Key Responsibilities
● LLM Orchestration: Design and deploy sophisticated LLM-based applications using
frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
● Model Optimization: Lead the fine-tuning of open-source and proprietary models to
improve performance, latency, and cost-efficiency.
● Advanced RAG Systems: Architect and optimize Retrieval-Augmented Generation (RAG)
pipelines utilizing vector databases like Pinecone, FAISS, Weaviate, or Azure AI Search.
● Scalable Deployment: Containerize services using Docker and deploy via FastAPI and Azure
Functions to ensure high availability and low latency.
● Productization: Build and scale enterprise-grade chatbots, copilots, and automated content
generation tools using OpenAI/Azure OpenAI and Hugging Face.
● Prompt Engineering: Implement and manage advanced prompt optimization and versioning
workflows to enhance model accuracy.
● Monitoring & Evaluation: Establish robust evaluation frameworks (e.g., RAGAS, TruLens) to
track model performance, hallucination rates, and drift in production.
● Operationalization:



Collaborate with cross-functional teams (Product, DevOps, Data) to
identify high-impact use cases and move them from POC to production.
● Best Practices: Set the standard for GenAI engineering, including model selection criteria,
performance tracking, and ethical AI safeguards.

Required Skills & Qualifications
● Overall Experience: 3 to 6 years of professional software engineering experience.
● GenAI Domain Experience: 2 years of dedicated, hands-on experience building GenAI, LLM,
and OCR solutions in production environments.
● Programming Mastery: Deep proficiency in Python with expertise in asynchronous
programming, typing standards, and clean code principles.
● Generative AI & LLMs: Hands-on experience with commercial APIs (OpenAI GPT-4o,
Anthropic Claude, Azure OpenAI) and open-source models (Llama 3, Mistral), along with
up-to-date agentic frameworks.
● Vector Infrastructure & Search: Practical experien

📌 Generative AI Engineer (India)
🏢 Dimensionless Technologies
📍 India