Logo for Ciklum

Senior Artificial Intelligence/Machine Learning Engineer

Role overview

Qualifications

  • Deep understanding of agentic architectures, RAG systems, tool-use design, and context engineering
  • 8+ years of software engineering experience, with 2.5+ years building LLM applications in production
  • Strong proficiency in Python and/or TypeScript, with excellent API craftsmanship

Responsibilities

  • Build and ship LLM-powered agents and workflows on the paved path (templates, pipeline, guardrails)
  • Write and run evals for everything built; ensure no system ships without passing its suite
  • Integrate with GoodRx systems and data sources; instrument for cost and quality telemetry
  • Pair with business users to iterate quickly inside bounded scopes

Key facts

Other skills

  • Quality Assurance
  • Teamwork
  • Communication
  • Problem Solving

About the company

Ciklum logo

Ciklum

IT Services & IT Consulting

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

Company details

Company typeStartup
IndustryIT Services & IT Consulting
Company size1001 - 5000

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in LATAM.

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, become a part of a cross-functional development team engineering experiences of tomorrow. You will build and ship LLM-powered agents, design evaluations, and integrate systems while maintaining high quality and guardrails.

Responsibilities:

  • Build and ship LLM-powered agents and workflows on the paved path (templates, pipeline, guardrails)

  • Write and run evals for everything built; ensure no system ships without passing its suite

  • Integrate with GoodRx systems and data sources; instrument for cost and quality telemetry

  • Pair with business users to iterate quickly inside bounded scopes

  • Coach/supervise team members on prompt engineering, context management, and LLM best practices

Requirements: 

We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!

  • Software Design:

  • Deep understanding of agentic architectures, RAG systems, tool-use design, and context engineering

  • Experience designing reliable LLM workflows and prompt strategies that survive real-world contact with users

Software Development:

  • 8+ years of software engineering experience, with 2.5+ years building LLM applications in production

  • Strong proficiency in Python and/or TypeScript, with excellent API craftsmanship

  • Ships fast without skipping safety, quality, or operational guardrails

Quality Assurance:

  • Non-negotiable ability to write and run rigorous LLM evaluations (evals) as a core part of the build process

  • Experience instrumenting applications for cost and quality telemetry

Software Deployment & Domain Knowledge:

  • Hands-on experience with LLM deployment pipelines, templates, and production guardrail integration

  • Bonus / Nice to have: Depth in Retrieval/IR (for assistant-facing work), experience handling healthcare data, and cost-optimization practices

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-VH1

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Machine Learning Engineer Related jobs

Other jobs at Ciklum

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.