Software AI Engineer

Overview :

You'll be part of a cross-functional Agile team developing cloud-native AI applications that automate document processing for the financial industry. You'll work with Large Language Models (LLMs) , machine learning , and AWS cloud technologies to enhance and streamline document workflows.

Key Responsibilities :

Collaborate in Agile ceremonies (Sprint Planning, Daily Scrum, Reviews, Retrospectives).

Develop and integrate LLMs and ML models for document automation.

Design and refine prompts for accurate data extraction.

Build and maintain document processing pipelines using AI and NLP tools.

Implement agentic systems for autonomous processing.

Integrate AI features into existing applications and workflows.

Ensure data quality and validation within pipelines.

Stay up to date on new AI technologies and best practices .

Develop reusable AI libraries and frameworks for future use.

Qualifications :

Bachelors degree in Computer Science, Engineering, or related field .

3+ years software engineering experience, with 2+ years in Python and AWS .

Experience with AI coding assistants (GitHub Copilot, ChatGPT).

Hands-on with AWS AI tools (Amazon Bedrock, SageMaker, Textract, Comprehend).

Knowledge of LLM frameworks (LangChain, LlamaIndex) and RAG pipelines .

Experience with Vector Databases (Pinecone, Weaviate, ChromaDB).

Skilled in PyTorch / TensorFlow , Pandas , NumPy , and scikit-learn .

Familiar with Docker , CI / CD , and Git .

Database experience (PostgreSQL / MySQL or DynamoDB).

Understanding of MLOps and model monitoring tools.

Experience working in Agile teams .

Strong problem-solving, communication, and analytical skills.

Knowledge of the financial services industry is a plus