GenAI/LLM Engineers

- Department: Artificial Intelligence &
- Machine Learning

- Experience Required: 3 to 7 Years

- Compensation (Market Standard): INR 2,400,000 to 3,800,000 Per Annum (CTC)

- Locations: Bangalore / Pune / Hybrid / Remote-flexible across India

Role Overview &

- Key Responsibilities

We are looking for an expert GenAI/LLM Engineer to design, build, and fine-tune large language model applications that power next-generation enterprise search, summarization, and content generation products. You will sit at the intersection of natural language processing and up-to-date software development, optimizing prompt strategies, integrating embedding models, and implementing robust LLM application architectures.

- LLM Application Design: Build high-performance applications leveraging commercial and open-source Large Language Models (GPT-4, Claude, Llama 3, Mistral).

- Prompt Engineering &
- Tuning: Develop, test, and systematically refine prompt templates, system instructions, and few-shot learning examples to maximize output accuracy and compliance.

- Fine-Tuning &

- Distillation: Prepare custom training datasets and execute parameter-efficient fine-tuning (PEFT/LoRA) for domain-specific language tasks.

- Integration &

- Scalability:



Integrate LLM services seamlessly into backend microservices architectures using efficient API frameworks and asynchronous queues.

- Cost &

- Latency Management: Implement semantic caching, token optimization strategies, and model routing to ensure cost-effective and low-latency production execution.

Required Skills &

- Experience

- Core Skills: Strong Python programming background with extensive experience using LLM developer frameworks such as LangChain, LlamaIndex, or Semantic Kernel.

- Model Familiarity: Deep understanding of transformer architectures, tokenization methods, quantization techniques, and open-source model execution.

- Backend Integration: Experience building scalable REST APIs (FastAPI/Flask) and integrating them with message brokers or vector indexes.

- Analytical Approach: Methodical testing practices for evaluating LLM outputs using automated evaluation suites and human-in-the-loop validation frameworks.

Skills: llamaindex,tuning,langchain,artificial intelligence,fastapi,learning,integration,intelligence,client fulfillment,semantic analysis,prompt,semantic kernal

- Python &
- AI Developers

- Department: Software Engineering &

- Artificial Intelligence

- Experience Required: 3 to 6 Years

- Compensation (Market Standard): INR 2,000,000 to 3,200,000 Per Annum (CTC)

- Locations: Bangalore / Pune / Hybrid / Remote-flexible across India

📌 GenAI/LLM Engineer (India)
🏢 HYrEzy Tech Solutions
📍 India