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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** AI Powered LLC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Optical Character Recognition (OCR), Microsoft Azure, Batch Processing, Cloud Computing, Cloud Engineering, Code Review, Databases, Data Validation, Database Design, Programming Tools, Document Retrieval, Github, Information Extraction, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Natural Language Processing, NoSQL, Performance Tuning, Query Optimization, OpenAI, Search Technologies, Software Engineering, SQLAlchemy, Strategies of Testing, TypeScript, Web Application Frameworks, Explainable AI (XAI), Data Logging, Data Processing, ReactJS, Large Language Models, Database Optimization, Prompt Engineering, Reliability of Systems, Backend, Cloudformation, Fastapi, Pandas, Amazon Relational Database Service, Pytest, Pgvector, Containerization, AI Platforms, Cosmos DB, Machine Learning Operations, Front End Software Development, Amazon Simple Queue Service (SQS), Document Classification, GPT, Docker, Artifactory - **Published:** November 12, 2026 - **Apply:** https://www.dice.com/job-detail/4f4da39c-25ea-46fa-9fd4-d71c13467370 ## About the Role * 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, * 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, * 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 ## Description * 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