Lead GenAI Engineer/ AI Forward Deployed Engineer

About this role

Our People, Our Core.

At MOOVX, 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).

Position Summary

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.

Key Responsibilities

• AI Solution Architecture
• 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.
• LLM & Agentic Application Development
• 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.
• Retrieval-Augmented Generation (RAG) & Knowledge Systems
• 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.
• Cloud, DevOps & Platform Engineering
• 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.
• Innovation & Emerging Technology Evaluation
• 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.
• Cross-Functional Leadership
• 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.

Qualifications

• -
• 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.

• Ready to make an impact?
• 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 MOOVX.
• We’re committed to building a diverse and inclusive workplace where everyone has the opportunity to grow.