Endava

Technology

SeniorAIPlatformEngineer

$15000–22000k ~AI est. Rosario, Santa Fe, Argentina FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior AI Platform Engineer at Endava. Skills: AI Platform Engineering, MLOps, Generative AI, LLM. Design scalable AI solutions. Develop scalable AI solutions”

Industry & Context.

Technology
Problems you'll solve

Pragmatic problem-solving

What They're Looking For.

Must Have

5+ years of experience, programming skills in Python, production-grade backend systems, LLM applications experience, generative AI experience, orchestration frameworks experience, RAG architectures experience, vector search solutions experience, cloud-native architectures understanding, public cloud platforms experience, containers experience, orchestration technologies experience, APIs experience, microservices experience, distributed systems experience, event-driven architectures experience, software engineering best practices, testing experience, version control experience, secure development experience, Advanced English communication skills

Nice to Have

AI governance experience, evaluation frameworks experience, responsible AI practices experience, vector databases knowledge, embedding pipelines knowledge, workflow automation platforms experience, N8N experience, Airflow experience, multi-agent systems exposure, autonomous AI workflows exposure, internal developer platforms experience, AI enablement tooling experience, Certifications in cloud, AI certifications, machine learning certifications, financial services experience, enterprise-scale environments experience

What You'll Do.

Design scalable AI solutions

Develop scalable AI solutions

Deploy scalable AI solutions

Build AI platform capabilities

Maintain AI platform capabilities

Develop RAG pipelines

Optimize RAG pipelines

Integrate LLM providers

Integrate AI services

Orchestrate LLM providers

Orchestrate AI services

Create reusable AI services

Create platform components

Implement observability strategies

Implement evaluation strategies

Implement monitoring strategies

Collaborate with teams

Define technical requirements

Define delivery roadmaps

Contribute to MLOps practices

Contribute to AI Ops practices

Manage CI/CD pipelines

Manage model lifecycle

Manage infrastructure automation

Ensure AI solutions meet standards

Contribute to technical growth

How You'll Work.

Team & Collaboration

cross-functional teams; engineering teams; product teams; data teams; architecture teams; internal engineering teams

Communication Scope

Advanced English communication

Process & Methodology

delivery roadmaps

Full Job Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on Senior AI Engineer / AI Platform Engineer to join our technology organization and help accelerate the adoption of scalable AI capabilities across the business. This role combines strong expertise in AI solution engineering with deep understanding of AI platform architecture, MLOps, cloud infrastructure, and production-grade AI systems. The ideal candidate will be capable of designing, building, deploying, and operating AI-powered solutions end-to-end while contributing to the evolution of our internal AI platform ecosystem. You will work closely with engineering, product, data, and architecture teams to deliver secure, scalable, observable, and business-oriented AI solutions leveraging LLMs, RAG pipelines, AI agents, and modern cloud-native architectures. This is a key role for someone passionate about turning AI innovation into reliable enterprise capabilities. Key Responsibilities * Design, develop, and deploy scalable AI solutions using modern AI/ML frameworks and LLM technologies. * Build and maintain AI platform capabilities that enable rapid experimentation, deployment, monitoring, and governance of AI workloads. * Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents for enterprise use cases. * Integrate and orchestrate LLM providers and AI services (OpenAI, Anthropic, Azure OpenAI, etc.). * Create reusable AI services, APIs, SDKs, and platform components for internal engineering teams. * Implement obse

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