Аргентина
Уругвай
ЧилиLead GenAI Engineer
3 нед. назад
АргентинаУругвайЧили+2LeadHybrid
pythonllmcloud-native
Lead the design, development, and deployment of enterprise-grade AI solutions powered by Large Language Models and related technologies.
Требования
- 5+ years of experience in AI/ML Engineering, Software Engineering, Solution Architecture, or related technical disciplines.
- 1.5+ years of hands-on experience developing and deploying Generative AI or LLM-powered solutions.
- Strong proficiency in Python and modern software engineering practices.
- Experience building production-grade AI services, APIs, and orchestration frameworks.
- Deep understanding of: Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Embedding Models
- Prompt Engineering
- Agentic AI Systems
- Hands-on experience with vector databases such as Pinecone, Weaviate, or FAISS.
- Experience developing agent-based solutions using LangGraph, Copilot Studio, NAAN, or similar frameworks.
- Experience designing cloud-native architectures within AWS, Azure, or GCP.
- Familiarity with containerization and orchestration technologies including Docker and Kubernetes.
- Experience implementing CI/CD pipelines and deployment automation.
- Strong communication and stakeholder management skills.
- English: B2+/C1 is a must.
- We offer our full-time employees complete and competitive benefits, with a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes a great place to work.
Другое
- At , you’ll work alongside curious, talented and collaborative people solving real challenges through technology.
- Location: Remote / Hybrid (ARG, CHI, CL, UY, MX)
- Job Type: Full-Time
- Experience: 5+ years in AI/ML Engineering, Software Engineering, Solution Architecture, or related technical disciplines (1.5+ years in GenAI/LLM).
- We are seeking a Lead GenAI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions powered by Large Language Models (LLMs), agentic workflows, and Retrieval-Augmented Generation (RAG) architectures.
- This role will be responsible for driving the technical vision for scalable GenAI platforms, building intelligent automation solutions, and enabling production-ready AI capabilities across the organization. The ideal candidate has deep expertise in Python development, modern LLM ecosystems, cloud-native architecture, and agent frameworks such as LangGraph, Copilot Studio, or NAAN.
- This is a highly visible role requiring both hands-on technical leadership and strategic guidance to help the organization leverage Generative AI responsibly, securely, and effectively.
- Design and implement scalable, secure, and reliable Generative AI architectures for enterprise production environments.
- Define technical standards, reference architectures, and best practices for GenAI platforms and applications.
- Ensure AI solutions meet requirements for performance, observability, scalability, compliance, and governance.
- Build and deploy Python-based GenAI services, APIs, and intelligent automation solutions.
- Design and implement agentic workflows using frameworks such as LangGraph, Microsoft Copilot Studio, and NAAN.
- Develop orchestration logic supporting multi-agent and multi-step reasoning workflows.
- Create reusable AI components and frameworks that accelerate solution delivery across teams.
- Design and implement RAG architectures that integrate enterprise knowledge sources with LLMs.
- Develop ingestion, indexing, retrieval, and augmentation pipelines for AI-powered applications.
- Integrate and optimize vector databases such as Pinecone, Weaviate, and FAISS.
- Evaluate embedding models and retrieval strategies to improve answer quality, accuracy, and relevance.
- Architect and operate cloud-native AI solutions across AWS, Azure, and/or GCP environments.
- Develop containerized AI applications using Docker and Kubernetes.
- Establish CI/CD pipelines and deployment automation for AI workloads.
- Implement monitoring, logging, observability, and operational controls for production AI systems.
- Ensure platform reliability, scalability, and cost optimization.
- Evaluate emerging LLMs, agent frameworks, orchestration platforms, and AI infrastructure technologies.
- Recommend tools, platforms, and architectural approaches that align with business and technical objectives.
- Stay current with advancements in Foundation Models, agentic systems, and AI engineering best practices.
- Advocate for responsible AI development, security, governance, and risk management practices.
- Partner closely with Product, Engineering, Data, and Business stakeholders to define AI solution roadmaps.
- Provide technical leadership and mentorship to AI and software engineering teams.
- Translate complex business requirements into scalable AI solutions and technical implementation plans.
- If this opportunity feels like the right next step for you, we’d love to get to know you. Apply and show us what you can bring to .
- We’re committed to building a diverse and inclusive workplace where everyone has the opportunity to grow.