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: [email protected]
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
