Stitch
AI Engineer
- Compensation
- Not disclosed
- Location
- Chennai, India
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Full description
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 andmaintainretraining pipelines.
Tech Stacks?
- Core:Python (expert), SQL, system design, strong 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, orpgvector
- Inference:vLLM,FastAPI, quantization (GPTQ/AWQ/GGUF)
- MLOps:MLflowor 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 via APIs.
- Implement LLM-based automation for financial insights and workflows.
- Monitor model performance andmaintainretraining pipelines.
- FintechExperience in banking applications, payments, lending, or financial workflows will be preferred
- Bachelor’s degree in computer science, Engineering, or related field
Why Join Us?
- Be part of a fast-growing company driving innovation in financial technology.
- Work on challenging and cutting-edge projects that make a real impact.
- Opportunity to lead and mentor a talented team of developers.