AI Engineer

We are seeking an experienced AI Engineer to join our team in delivering an innovative AI-powered invoice audit platform for a leading enterprise client. This role combines cutting-edge AI/ML capabilities with robust software engineering practices to build scalable, production-grade solutions that transform financial operations. You will take ownership of the full software development lifecycle while working within a deterministic-first, AI-augmented architecture that prioritizes explainability, accuracy, and compliance.

As an AI Engineer on this team, you will support and enhance a sophisticated platform that processes complex documents, leverages large language models for intelligent classification and extraction, and implements rules-based audit logic. This is an opportunity to work with modern cloud infrastructure, advanced AI tooling, and a tech stack designed for high performance and scalability.

Key Responsibilities

• Design, develop, and deploy AI-powered features using LLMs, document intelligence services, and machine learning pipelines
• Build and optimize asynchronous processing workflows for large-scale document classification, extraction, and assessment
• Implement and maintain deterministic rules engines that ensure audit findings are accurate, explainable, and compliant
• Develop and enhance backend services using Python, FastAPI, and async frameworks to support high-volume invoice processing
• Work with vector databases and embedding models to enable semantic search and intelligent document retrieval
• Integrate cloud-based AI services for OCR, document understanding, and natural language processing
• Design and implement data models for complex financial and contractual data using PostgreSQL and document databases
• Build observability and monitoring solutions to ensure system reliability and performance
• Collaborate with financial SMEs and domain experts to translate business requirements into technical solutions
• Participate in agile ceremonies, code reviews, and continuous improvement initiatives
• Leverage AI-powered development tools to accelerate delivery and maintain high code quality

Required Qualifications

<>Experience

• 3-7 years of professional software engineering experience
• 2+ years of hands-on experience with AI/ML technologies, particularly LLMs and document processing
• Proven experience building production-grade applications with Python and modern frameworks
• Strong background in data modeling, database design, and working with both relational and NoSQL databases
• Experience with cloud platforms (AWS and/or Azure) and cloud-native application development
• Demonstrated consulting experience with strong customer focus and stakeholder management skills

Technical Skills

<>AI & Machine Learning

• Proficiency with OpenAI APIs, LangChain, or similar LLM frameworks
• Experience with document intelligence, OCR, and information extraction technologies
• Understanding of embeddings, vector databases (e.g., pgvector), and semantic search
• Knowledge of prompt engineering and LLM application patterns

<>Backend Development

• Expert-level Python programming (Python 3.10+)
• Strong experience with FastAPI, async/await patterns, and Uvicorn
• Proficiency with SQLAlchemy 2.0 (async), Alembic migrations, and database optimization
• Experience with Pydantic for data validation and Pandas for data manipulation

<>Cloud & Infrastructure

• Hands-on experience with AWS services: EC2, RDS, S3, SQS, Batch
• Familiarity with Azure services: Blob Storage, Cosmos DB, and AI services
• Experience with Infrastructure as Code (CloudFormation or similar)
• Understanding of containerization with Docker and local development environments

<>Data & Databases

• Advanced PostgreSQL knowledge including performance tuning and query optimization
• Experience with document databases (Cosmos DB, MongoDB, or similar)
• Strong data modeling skills for complex business domains
• Understanding of async database drivers (AsyncPG, psycopg2)

<>Software Engineering Practices

• Experience with CI/CD pipelines (GitHub Actions or similar)
• Proficiency with modern Python tooling: uv, Ruff, Pytest
• Strong understanding of testing strategies including async testing patterns
• Knowledge of observability, monitoring, and logging best practices

Soft Skills

• Strong consulting mindset with ability to understand and translate business requirements
• Excellent communication skills for technical and non-technical audiences
• Customer-focused approach with commitment to delivering value
• Ability to work autonomously while collaborating effectively with distributed teams
• Adaptability to changing priorities and comfort with ambiguity

Preferred Qualifications

• Experience with frontend technologies (React, TypeScript) for full-stack contributions
• Background in financial systems, invoice processing, or procurement platforms
• Familiarity with responsible AI principles and explainable AI practices
• Experience with batch processing and asynchronous job orchestration
• Knowledge of artifact management systems (JFrog Artifactory or similar)
• Previous experience in agile delivery models with two-week sprint cycles