Software Developer 2

About the Role

We are looking for a highly skilled and self-driven AI/LLM Engineer with a strong background in Artificial Intelligence and Machine Learning, specifically with hands-on experience in building LLM-based solutions from the ground up. This is a unique opportunity to lead the development of AI systems that power intelligent automation and personalization across our platform hosted on AWS.

You will work on the full lifecycle of AI product development from problem discovery, model selection, data preparation, fine-tuning, evaluation, and deployment.

Key Responsibilities

• Design and develop AI/LLM-based solutions from scratch for fintech use cases such as underwriting, fraud detection, intelligent chatbots, document processing, etc.
• Fine-tune large language models (LLMs) for custom domain-specific tasks
• Develop RAG (retrieval-augmented generation) systems using embeddings and vector databases
• Build APIs to integrate AI/LLM capabilities into production-grade fintech applications
• Optimize and deploy models in AWS cloud environments using services like SageMaker, Lambda, ECS, ECR, etc.
• Implement prompt engineering techniques to improve LLM output quality
• Monitor model performance and continuously improve model accuracy, latency, and robustness
• Collaborate closely with product, data, and engineering teams to deliver business-impacting AI features

Required Qualifications

• Bachelors or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related fields
• Minimum 3+ years of experience in AI/ML, with proven hands-on experience building LLM-based solutions
• Strong programming skills in Python and ML frameworks like PyTorch, TensorFlow
• Experience with LLM platforms (OpenAI, Anthropic, Cohere, Hugging Face) and frameworks (LangChain, LlamaIndex)
• Expertise in prompt engineering, model tuning, tokenization, embeddings, and language model fine-tuning
• Good understanding of vector databases (e.g., FAISS, Pinecone, Weaviate)
• Strong experience in AWS cloud services, especially SageMaker, Lambda, S3, ECS, ECR, API Gateway
• Ability to independently take a project from ideation to deployment

Preferred Skills

• Experience with Docker, CI/CD, serverless architecture, and observability tools
• Prior experience in fintech domain or regulated environments
• Knowledge of data privacy, AI governance, and model explainability
• Familiarity with OCR, NLP pipelines, and generative AI use cases
• Contributions to open-source AI projects or published research is a plus