Endava

Technology

SeniorAIPlatformEngineer

$15000–25000k ~AI est. Buenos Aires, Buenos Aires, 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, Cloud-native architectures, LLM applications. 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, Python programming skills, Experience building backend systems, Hands-on LLM applications experience, Hands-on generative AI experience, Experience with orchestration frameworks, Experience designing RAG architectures, Experience implementing RAG architectures, Experience with vector search solutions, Solid understanding cloud-native architectures, Experience with public cloud platforms, Experience with containers, Experience with orchestration technologies, Experience with APIs, Experience with microservices, Experience with distributed systems, Experience with event-driven architectures, Understanding software engineering best practices, Experience with testing, Experience with version control, Experience with secure development, Advanced English communication skills

Nice to Have

Experience with AI governance, Experience with evaluation frameworks, Experience with responsible AI practices, Knowledge of vector databases, Knowledge of embedding pipelines, Experience with workflow automation platforms, Experience with orchestration platforms, Exposure to multi-agent systems, Exposure to autonomous AI workflows, Experience building internal developer platforms, Experience building AI enablement tooling, Certifications in cloud technologies, Certifications in AI technologies, Certifications in machine learning technologies, Experience in financial services, Experience in enterprise-scale environments

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 reusable platform components

Implement observability strategies

Implement evaluation strategies

Implement monitoring strategies

Collaborate to define AI use cases

Collaborate to define technical requirements

Collaborate to define delivery roadmaps

Contribute to MLOps practices

Contribute to AI Ops practices

Contribute to CI/CD pipelines

Contribute to model lifecycle management

Contribute to infrastructure automation

Contribute to governance

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

Process & Methodology

Roadmap planning

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

Free ATS check

Applying for this Senior AI Platform Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on SmartRecruiters

  • SmartRecruiters often includes a video screening step — check camera and mic permissions.
  • Link your GitHub or portfolio directly in the profile section for technical roles.
  • Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.

ANONYMOUS · UNFILTERED

What do employees actually say about Endava?

Real rants from real employees. Read before you apply.

Read Company Rants →