Role Title: AI / ML Engineers
Location: Chennai (WFO)
About Us:
Stitch is a visionary technology company committed to empowering businesses through
our homegrown SaaS and API-driven platform. Our mission is to simplify money movement
processes, enhance profitability, and deliver seamless experiences for our clients and
their customers. We strive to eliminate complexities and create innovative solutions for a
better tomorrow.

About the Role:
The AI / ML Engineer builds intelligent systems that power fraud detection, credit risk
modelling, transaction monitoring, and financial automation. The role also involves
developing LLM-enabled solutions and AI-driven automation integrated with fintech
platforms.

What will you be doing?
• Develop machine learning models for fraud detection and credit risk analysis.
• Implement transaction anomaly detection models.
• Design pipelines for model training, evaluation, and deployment.
• Integrate AI models with fintech systems via APIs.
• Implement LLM-based automation for financial insights and workflows.




• Monitor model performance and maintain retraining pipelines.

Tech Stacks?
• Core: Python (expert), SQL, system design, robust SWE fundamentals
• ML: PyTorch, Hugging Face Transformers, scikit-learn, XGBoost
• LLM/GenAI: RAG in production (chunking, hybrid retrieval, reranking, eval)
LangChain / LangGraph / LlamaIndex
Fine-tuning with LoRA/QLoRA, PEFT, TRL
Anthropic / OpenAI APIs and open-weight models (Llama, Qwen, Mistral)
• Vector DBs: Pinecone, Weaviate, Qdrant, or pgvector
• Inference: vLLM, FastAPI, quantization (GPTQ/AWQ/GGUF)
• MLOps: MLflow or W&B;, Docker, Kubernetes, CI/CD, Airflow
• Cloud: AWS, GCP, or Azure (one deep)
• Eval: LangSmith / LangFuse, Ragas, LLM-as-judge

Who are you?
• Develop machine learning models for fraud detection and credit risk analysis.
• Implement transaction anomaly detection models.
• Design pipelines for model training, evaluation, and deployment.
• Integrate AI models with fintech systems

📌 AI Engineer (Chennai)
🏢 Stitch
📍 Chennai