Senior Artificial Intelligence/Machine Learning Engineer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Argentina
Remote
Senior level
Information Technology • Consulting
The Role
Build and deploy production LLM-powered agents and workflows, design rigorous evaluations, integrate systems and data sources, and instrument applications for cost and quality telemetry. Collaborate with business users to iterate within defined scopes while maintaining safety and operational guardrails. Coach team members on prompt engineering, context management, and LLM best practices. The role requires strong software engineering, API development, LLM deployment, agentic architecture, RAG, tool-use, and context-engineering expertise.
Summary Generated by Built In

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team in Argentina.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Artificial Intelligence/Machine Learning Engineer, you'll become a part of a cross-functional development team engineering experience of tomorrow. 

Project Description:

Creates the quality bar every AI system must pass — golden datasets, eval harnesses, pass thresholds — before launch and continuously in production. Defines what “good enough to ship” means, and measures it monthly for the scoreboard.

Responsibilities:

  • Build the central eval harness and templates every pod uses; hub-and-spoke: central standards, pod-written tests
  • Create golden datasets with business and clinical reviewers, including safety and medical-accuracy suites
  • Set and defend pass thresholds; audit pod evals; report eval pass rates and incidents monthly
  • Stand up production monitoring for drift and regression with the pipeline engineer

Requirements:

  • 4+ years in ML/LLM evaluation, QA engineering for AI systems, or applied research engineering
  • Hands-on with eval frameworks, LLM-as-judge patterns and their failure modes, statistical rigor on small samples
  • Independent spine: the team shipping a thing does not set its own pass bar

Desirable:

  • Healthcare or safety-critical evaluation experience; red-teaming background

What’s in it for you?

  • Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance and mental health programs, 5 undocumented sick-leave days per year
  • Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
  • Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
  • Long-term employment with 20 working-days paid vacation and local bank holidays
  • Flexibility: 100% remote work mode
  • Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
  • Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
  • Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

As we expand into Latin America, every Ciklumer is helping to shape our story. Collaborate with seasoned experts and make a global impact backed by two decades of industry leadership.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

#LI-AD1

Skills Required

  • Deep understanding of agentic architectures, RAG systems, tool-use design, and context engineering
  • Experience designing reliable LLM workflows and prompt strategies for real-world users
  • 8+ years of software engineering experience
  • 2.5+ years building LLM applications in production
  • Strong proficiency in Python and/or TypeScript
  • Excellent API craftsmanship
  • Ability to write and run rigorous LLM evaluations
  • Experience instrumenting applications for cost and quality telemetry
  • Hands-on experience with LLM deployment pipelines, templates, and production guardrail integration
  • Depth in Retrieval/Information Retrieval for assistant-facing work
  • Experience handling healthcare data
  • Cost-optimization practices
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
2,995 Employees
Year Founded: 2002

What We Do

Ciklum is a global Digital Solutions Company for Fortune 500 and fast-growing organisations alike around the world. The company is headquartered in London and has software development centres and branch offices in the United States, Spain, Switzerland, Denmark, Israel, Poland, Ukraine, Czech Republic, Slovakia, Romania, UAE and Pakistan. Ciklum builds tailored digital solutions that leverage emerging technologies for such clients as Just Eat, Flixbus, Metro Markets, EFG International, Zurich Insurance, Lottoland and others. For more information about us visit www.ciklum.com

Similar Jobs

Ciklum Logo Ciklum

Machine Learning Engineer

Information Technology • Consulting
Remote
Argentina
2995 Employees

Ciklum Logo Ciklum

Machine Learning Engineer

Information Technology • Consulting
Remote
Argentina
2995 Employees

NineTwoThree AI Studio Logo NineTwoThree AI Studio

Senior Machine Learning Engineer

Artificial Intelligence • Marketing Tech • Mobile • Software • Design • App development
Remote
6 Locations
52 Employees
In-Office or Remote
5 Locations
3295 Employees

Similar Companies Hiring

Standard Template Labs Thumbnail
Artificial Intelligence • Information Technology • Software
New York, NY
25 Employees
NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Sydney, AU
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account