AI / LLM Integration Engineer (Remote)
Quick Summary
3+ years of professional software engineering experience, with at least 2+ years working directly with LLM APIs (Anthropic, OpenAI, or similar) Strong proficiency in Python,
AI/ML Engineer
We're seeking an experienced AI/ML Engineer to design and implement intelligent exception resolution capabilities within our financial reconciliation platform. You'll integrate advanced language models (Claude/OpenAI) into our core pipeline, crafting sophisticated prompts that transform complex reconciliation exceptions into clear, auditable resolution suggestions. This role is critical to delivering AI-powered insights that help financial teams resolve discrepancies faster and with greater confidence.
Responsibilities
~1 min read- →Design and optimize prompts that accurately interpret flagged reconciliation exceptions and generate structured, actionable resolution suggestions with confidence scoring
- →Integrate LLM APIs (Anthropic Claude, OpenAI) into the exception resolution layer using Python, the Anthropic SDK, and async API patterns for production-grade reliability
- →Develop human-in-the-loop workflows that balance automation with human oversight, ensuring financial accuracy and auditability at every step
- →Build robust API integration code that handles edge cases, rate limiting, token management, and graceful error recovery in a financial context
- →Collaborate with backend developers to embed AI outputs cleanly into the reconciliation pipeline and ensure seamless data flow into final reports
- →Implement LLM evaluation and benchmarking frameworks to measure prompt effectiveness, accuracy, and consistency across diverse exception types
- →Document prompt strategies and model behavior to enable knowledge sharing and continuous improvement across the engineering team
- →Monitor and iterate on model performance, refining prompts and integration logic based on real-world exception data and user feedback
Requirements
~1 min readNice to Have
~1 min readNice to Have
~1 min read- Experience with Retrieval-Augmented Generation (RAG) or domain-specific knowledge grounding
- Familiarity with financial reconciliation, accounting systems, or fintech platforms
- Experience with prompt versioning and A/B testing frameworks
- Knowledge of structured output formats (JSON, XML) and validation
- Exposure to observability and monitoring tools for LLM applications
- Background in machine learning model evaluation and metrics
What We Offer
~1 min readCODVO.AI is a forward-thinking technology company specializing in AI-driven financial solutions. We empower organizations to automate and optimize their reconciliation processes through intelligent, trustworthy AI. Our platform combines advanced language models with domain expertise to deliver accurate, auditable insights that save time and reduce errors. We're committed to building inclusive, innovative products that solve real-world problems in the financial services space.
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.
Location & Eligibility
Listing Details
- First seen
- May 12, 2026
- Last seen
- May 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 59%
- Scored at
- May 12, 2026
Signal breakdown
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