A Medior AI Engineer focused on the Run phase of AI services in production, ensuring reliability, security, and cost-efficiency using Azure services and open-source components.
Responsibilities
Operate the AI services in production: monitor availability, latency, and errors, handle incidents and service requests, analyze root causes, then fix or escalate.
Keep answer quality under control: run and maintain evaluation sets with business content owners, track answer quality, non-answer rate, and user feedback, and detect and investigate quality regressions.
Operate the ingestion pipelines: manage incremental refresh, failed documents, index health, and onboarding of new content sources or business domains.
Operate agent integrations: monitor tool and integration calls to business systems, handle failures, timeouts, and review action logs and exceptions.
Manage change safely: model version upgrades and retirements, prompt and configuration changes, and dependency and security updates, validated against evaluation sets before release.
Seeking a Forward Deployment Engineer to bridge the gap between product engineering and business outcomes, designing and deploying scalable enterprise platforms.
Responsibilities
Develop custom software solutions to design, code, and enhance components across systems or applications
Use modern frameworks and agile practices to deliver scalable, high-performing solutions
Work directly with customers, stakeholders, and delivery teams to understand business challenges
Design innovative solutions and deploy enterprise platforms
Rapidly translate customer requirements into scalable products and capabilities
Orange Moldova este în căutarea unui AI Developercare să transforme potențialul inteligenței artificiale în soluții concrete, cu impact real asupra modului în care funcționează compania.
Responsibilities
proiectezi, dezvolți și îmbunătăști aplicații, asistenți, agenți și instrumente de automatizare bazate pe AI
transformi prototipuri și proiecte-pilot în soluții scalabile, reutilizabile și pregătite pentru producție
integrezi soluții AI cu API-uri, baze de date, platforme de date și aplicații existente
lucrezi cu LLM-uri, RAG, embeddings, baze de date vectoriale, tehnologii speech-to-text și text-to-speech și AI conversațional
dezvolți componente, API-uri și framework-uri reutilizabile pentru accelerarea proiectelor AI
We are looking for a Project Lead familiar with cloud-native and AI-native development practices to lead a team of engineers working with LLMs, agents, and retrieval systems.
Responsibilities
Develop intuitive AI-native software that meets and exceeds the needs of the company
Development of technical specifications and planning, including model selection, prompt/agent design, and data/retrieval architecture
Analyze and automate tests for software components prior to delivery, and build evaluation harnesses (accuracy, regression, and hallucination checks) for AI features
Troubleshoot coding and model-behavior problems quickly and efficiently to ensure a productive workplace
Follow secure software coding practices, including AI-specific safeguards (prompt-injection defense, data privacy, PII handling, and responsible-AI guardrails)
Innovative Tech Solutions Inc is looking for a talented Senior Python Developer with expertise in Agentic AI and Azure to join our growing team, building intelligent, autonomous systems.
Locations (2)
Plano, Texas, United States
Woodlawn, Maryland, United States
Responsibilities
Design, develop, and deploy Agentic AI solutions using Python frameworks and Azure cloud services
Build and maintain autonomous AI agents, pipelines, and orchestration workflows
Integrate large language models (LLMs) and AI APIs into scalable, production-ready applications
Architect and optimize Azure-based infrastructure including Azure OpenAI, Azure Functions, and Azure ML
Collaborate with cross-functional teams to define AI strategy and technical requirements
We are seeking an AI & Machine Learning Manager with strong hands‑on expertise in AI/ML engineering, Generative AI, data science and enterprise solution delivery.
Responsibilities
Work with business leaders and domain teams to identify, assess and prioritise AI/ML opportunities based on business value, feasibility, risk and expected return.
Translate business problems into clear AI use cases, functional requirements, solution options, delivery plans and measurable success criteria.
Define AI roadmaps and support business cases, proof‑of‑concept assessments and the transition of successful pilots into production solutions.
Lead the design, development, testing and deployment of machine learning, deep learning, NLP, predictive analytics and Generative AI solutions.
Guide the development of LLM‑based applications, Retrieval‑Augmented Generation (RAG), AI agents, conversational systems and intelligent automation solutions.
Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline
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