AI / LLM Integration Engineer

🕒 il y a 25 jours

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Codvo.ai

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2019

🔒 Cybersecurity

☁️ SaaS

AI • Cybersecurity • SaaS

Codvo. ai est une entreprise technologique spécialisée dans la fourniture de solutions d'entreprise stratégiques grâce à une innovation avancée pilotée par l'IA. Elles se concentrent sur la transformation des données d'entreprise en valeur mesurable en aidant les entreprises à accélérer leur croissance avec des implémentations IA sur mesure adaptées aux défis spécifiques de diverses industries. Leurs offres de services étendues incluent l'automatisation IA/ML, le développement d'applications, l'analyse de données, la cybersécurité et la transformation numérique, garantissant que les organisations peuvent prospérer dans un paysage numérique en évolution rapide.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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