Software AI Engineer
1 day ago
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
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