• Own the AI-native architecture and build it. • Own AI/MLOps and AI telemetry end-to-end. • Lead the AI practice from the front.

Role Description - Diseñar, desarrollar y desplegar soluciones conversacionales y agentes inteligentes utilizando Microsoft Copilot Studio. - Construir e integrar copilots con distintas aplicaciones y fuentes de datos corporativas. - Diseñar flujos de automatización para optimizar procesos de negocio. - Colaborar con equipos funcionales y técnicos para identificar oportunidades de mejora mediante IA. - Participar en pruebas, despliegues y evolución continua de las soluciones implementadas. - Guiar al negocio en la ideación funcional, participar en tareas de gobierno y buenas prácticas y actuar como referente en IA generativa, automatización y productividad. Qualifications - Experiencia como AI Engineer con expertise en Microsoft Copilot Studio. - Conocimientos en diseño e implementación de soluciones de IA generativa. - Capacidad para entender necesidades de negocio y convertirlas en soluciones funcionales. - Experiencia trabajando con integraciones, APIs y servicios cloud. - Habilidad para trabajar de forma autónoma y en entornos colaborativos. - Muy valorable contar experiencia y/o conocimientos de Power Platform / Power Automate / Power Apps. - Buscamos un perfil con buenas soft skills: proactiva, autónoma, con capacidad de comunicación asertiva, que refleje confianza y seguridad. Benefits - Trabajo 100% remoto. - Participación en proyectos innovadores de IA, automatización y transformación digital. - Formación continua en tecnologías Microsoft y Copilot. - Excelente ambiente de trabajo y oportunidades de crecimiento profesional.

Role Description We are seeking a senior AI Engineer to join the AI Operations team building next-generation developer AI-tooling for large-scale enterprise software platform. The project centers on the production AIOps platform - FastAPI + LangGraph system that automates engineering workflows by applying LLMs to structured data from issue tracking, device logs and CI/CD signals. The platform connects to real enterprise systems, runs stateful agent workflows with PostgreSQL-backed persistence and surfaces insights through a React/TypeScript dashboard. As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people. If this sounds like an exciting opportunity for you, send over your CV! Qualifications - 7+ years of experience in AI/ML or backend engineering with at least 2 years on production LLM/agent systems - Expertise in agentic AI architectures: LangGraph, LangChain, tool use, structured outputs - Strong Python engineering: FastAPI, Pydantic, async/await, clean service layering - Experience with OpenAI SDK and local LLM serving (Ollama) - PostgreSQL schema design, async drivers, query optimization - DevOps foundation: Docker, Docker Compose - Jira API and external system integration experience - React/TypeScript for dashboard features - beneficial - Upper-intermediate English (spoken and written) - Experience working in a team Git/Github workflow Requirements - Development of AIOps automation services - production systems that apply LLMs and agent decisions to accelerate engineering workflows - Design stateful LangGraph workflows with PostgreSQL checkpointing; ensure reliability and idempotency at scale - Integrate extraction pipelines and LLM-based analysis into automated decision-making flows - Define and maintain REST API contracts (FastAPI) consumed by external webhooks and scheduled jobs - Drive technical decisions on cloud vs. local LLM provider strategy (OpenAI / Ollama / Anthropic) Benefits - Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. - Empowering Growth: We foster a culture of continuous learning and professional development with dedicated Learning & Development team support. - DE&I Matters: We deeply value and embrace diversity, providing equal opportunities for all individuals. - Career Development: Our corporate culture emphasizes career development, offering abundant opportunities for growth and engagement. - Comprehensive Benefits: We provide a comprehensive benefits package prioritizing the overall well-being of our consultants. - Flexible Opportunities: We prioritize work-life balance by offering flexible opportunities tailored to your lifestyle.

Role Description - 6-8 years of hands-on experience with Generative AI, AI, ML, and Data Science technologies - Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI - Experience in building production-grade solutions utilizing Generative AI as well as AI and ML components - Extensive hands-on experience in building Generative AI applications using methodologies such as RAG, prompt engineering, embedding, fine-tuning, etc. - Experience in working with structured as well as unstructured data for building RAG-based solutions - Experience with AI/ML search and data services within GCP ecosystem such as GCP Vertex AI, Vertex AI Vector Search, Gemini, Cloud Run, Cloud SQL, etc. - Experience with agent frameworks such as Google ADK, Langgraph, CrewAI, etc. - Hands-on experience in working with cloud AI services GCP Vertex AI, Azure AI, AWS Bedrock, as well as managed large language models (Preferred GCP but other cloud experience can be considered) - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of Generative AI related concepts, methodologies, and techniques Qualifications - Bachelor's degree in computer science or related field - 5 years AIML experience including 2 years in GenAI projects - Proficiency with Azure AI services, Python - Experience with agent-based frameworks LangChain, LangGraph is highly desirable - Solid understanding of API integration, test automation, and software engineering principles - Good teamwork and communication skills Requirements - Mandatory Skills: MLOPS, GenAI - LLMOps, Machine Learning - AIOPS