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AI/ML Engineer Company: CODVO.AI Department: Engineering 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 scoringIntegrate LLM APIs (Anthropic Claude, OpenAI) into the exception resolution layer using Python, the Anthropic SDK, and async API patterns for production-grade reliabilityDevelop human-in-the-loop workflows that balance automation with human oversight, ensuring financial accuracy and auditability at every stepBuild robust API integration code that handles edge cases, rate limiting, token management, and graceful error recovery in a financial contextCollaborate with backend developers to embed AI outputs cleanly into the reconciliation pipeline and ensure seamless data flow into final reportsImplement LLM evaluation and benchmarking frameworks to measure prompt effectiveness, accuracy, and consistency across diverse exception typesDocument prompt strategies and model behavior to enable knowledge sharing and continuous improvement across the engineering teamMonitor and iterate on model performance, refining prompts and integration logic based on real-world exception data and user feedbackWhat 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 callsDemonstrated expertise in prompt engineering, particularly for structured outputs and domain-specific tasksSolid understanding of confidence scoring, uncertainty quantification, and human-in-the-loop AI workflowsExperience writing clean, maintainable API integration code with attention to edge cases and error handlingAbility to work independently and communicate effectively with cross-functional teamsFamiliarity with financial systems, reconciliation processes, or similar regulated domains is a plusTechnical Skills: Backend development and ETL middleware conceptsAgent orchestration and agentic AI patternsLLM evaluation and benchmarking methodologiesVersion control (Git) and collaborative development practicesNice to Have Experience with Retrieval-Augmented Generation (RAG) or domain-specific knowledge groundingFamiliarity with financial reconciliation, accounting systems, or fintech platformsExperience with prompt versioning and A/B testing frameworksKnowledge of structured output formats (JSON, XML) and validationExposure to observability and monitoring tools for LLM applicationsBackground in machine learning model evaluation and metricsWhat We Offer Flexible work environment: 100% remote with a collaborative, inclusive team cultureMeaningful impact: Work on cutting-edge AI solutions that directly improve financial operations for our clientsProfessional growth: Opportunities to deepen expertise in LLMs, agentic AI, and financial technologyCompetitive compensation: Commensurate with experience and market ratesCollaborative culture: Work alongside talented engineers and product teams who value innovation and continuous learningBillable engagement: Full-time, stable project with mid-to-late stage engagement timelineAbout CODVO.AI CODVO.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, innovat .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.