Codvo.ai - AI/ML Engineer

Description : AI/ML Engineer Location : Work From Home Employment Type : Full-Time Experience Level : Mid-Level (3+ years) Shift Timing : 9 : 30 AM 6 : 30 PM IST Role Overview : 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. What You'll Do : - 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. What We're Looking For : Required Qualifications : - 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, including hands-on experience with the Anthropic SDK and async API calls. - Demonstrated expertise in prompt engineering, particularly for structured outputs and domain-specific tasks. - Solid understanding of confidence scoring, uncertainty quantification, and human-in-the-loop AI workflows. - Experience writing clean, maintainable API integration code with attention to edge cases and error handling. - Ability to work independently and communicate effectively with cross-functional teams. - Familiarity with financial systems, reconciliation processes, or similar regulated domains is a plus. Technical Skills : - Backend development and ETL middleware concepts. - Agent orchestration and agentic AI patterns. - LLM evaluation and benchmarking methodologies. - Version control (Git) and collaborative development practices. Nice to Have : - 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 : - Flexible work environment : 100% remote with a collaborative, inclusive team culture. - Meaningful impact : Work on cutting-edge AI solutions that directly improve financial operations for our clients. - Professional growth : Opportunities to deepen expertise in LLMs, agentic AI, and financial technology. - Competitive compensation : Commensurate with experience and market rates. - Collaborative culture : Work alongside talented engineers and product teams who value innovation and continuous learning. - Billable engagement : Full-time, stable project with mid-to-late stage engagement timeline. Description : AI/ML Engineer Location : Work From Home Employment Type : Full-Time Experience Level : Mid-Level (3+ years) Shift Timing : 9 : 30 AM 6 : 30 PM IST Role Overview : 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. What You'll Do : - Design an