AI/ML Engineer – Generative AI & LLMs

• *Senior AI Engineer – Generative AI \& LLMs**

Position Details

• **Experience:** 5–10 Years
• **Location:** Madurai, Tamil Nadu
• **Work Mode:** Hybrid
• **Shift:** 2:00 PM – 11:30 PM IST
• **Employment Type:** Full\-Time
• **Compensation:** Competitive and negotiable based on skills and experience

About the Role

We are looking for experienced AI/ML professionals with expertise in **Machine Learning, Deep Learning, Generative AI, LLMs, RAG, MLOps, Python, PyTorch/TensorFlow, and Cloud Platforms**. Experience in **Insurance AI solutions** and **Enterprise AI development** is highly preferred.

• *Key Responsibilities**

• Design, develop, and deploy scalable **Machine Learning, Deep Learning, and Generative AI solutions**.
• Build **LLM\-powered applications** including **RAG pipelines, AI copilots, chatbots, summarization, and Q\&A systems**.
• Develop AI solutions for **claims fraud detection, underwriting support, risk scoring, and intelligent document processing using OCR and NLP**.
• Build and maintain **data pipelines, feature engineering workflows, and production\-ready AI systems**.
• Fine\-tune and evaluate **LLMs and embedding models** for domain\-specific use cases.
• Implement **MLOps best practices**, including **model deployment, monitoring, versioning, scalability, and CI/CD**.
• Collaborate with product, engineering, and business teams to deliver impactful AI solutions.

• *Required Skills \& Qualifications**

• Strong expertise in **Python, Scikit\-learn, XGBoost, PyTorch, TensorFlow, Predictive Modeling, Anomaly Detection, and Feature Engineering**.
• Hands\-on experience with **LLMs, Prompt Engineering, Embeddings, Vector Databases (FAISS/Milvus), and Generative AI applications**.
• Experience with **Spark, Airflow, FastAPI/Flask, Docker, CI/CD, and Cloud Platforms (Azure, AWS, or GCP)**.
• Familiarity with **MLOps, Experiment Tracking, and Version Control Systems**.

• *Preferred Qualifications**

• Experience in **Insurance Domain AI Use Cases**, including **Claims Processing, Fraud Detection, and Underwriting Analytics**.
• Exposure to **OCR/NLP Pipelines, Graph\-Based Anomaly Detection, and AI Orchestration Frameworks**.
• Experience with **LangChain, LlamaIndex, Semantic Kernel, Knowledge Graphs, and Enterprise AI Solution Development**.

Interested candidates can share their updated resume at**:** open.positions@idyaite.ai

Ability to commute/relocate

• Madurai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Application Question(s)

• Do you have a hands on experience with Spark \& Airflow?
• Do you have experience in Insurance / Claims / Fraud Detection?
• What is your notice period duration (in days)?
• What is your current CTC per annum?
• What is your expected CTC per annum?

Experience

• Machine Learning \& Deep Learning? : 5 years (Required)
• Generative AI \& LLMs: 5 years (Required)
• Retrieval\-Augmented Generation (RAG): 5 years (Required)
• MLOps \& CI/CD: 4 years (Preferred)
• PyTorch / TensorFlow: 1 year (Required)

Work Location: Hybrid remote in Madurai, Tamil Nadu