Ciklum Logo

Ciklum

Expert Artificial Intelligence/Machine Learning Engineer

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
Build and deploy LLM-powered agents and workflows using production templates, pipelines, and guardrails. Develop comprehensive evaluations, integrate AI systems with business data sources, and instrument cost and quality telemetry. Collaborate with business users to rapidly iterate within defined scopes while maintaining production standards. The role requires extensive software engineering experience, production LLM application development, strong Python and TypeScript skills, API expertise, and retrieval or healthcare data experience as desirable qualifications.
The summary above was generated by AI

Ciklum is looking for an Expert Artificial Intelligence/Machine Learning Engineer to join our team full-time in the US.
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 an Expert Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
Builds the agents, models, and integrations on the platform's templates — the hands that turn use cases into production systems.

Responsibilities:

  • Build and ship LLM-powered agents and workflows on the paved path (templates, pipeline, guardrails)
  • Write and run evals for everything built; 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

Requirements:

  • 8+ years software engineering; 2.5+ building LLM applications in production (agents, RAG, tool use)
  • Strong Python/TypeScript; API craftsmanship; prompt and context engineering that survives contact with users
  • Can write LLM evals as part of building — non-negotiable
  • Ships fast without skipping guardrails

Desirable:

  • Retrieval/IR depth (for assistant-facing work); healthcare data handling; cost-optimization experience

What’s in it for you?

  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans

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. In the US, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.

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-IK1

Similar Jobs

Yesterday
Remote
United States
Senior level
Senior level
Information Technology • Consulting
Build and ship production LLM-powered agents, workflows, and integrations using platform templates, pipelines, and guardrails. Develop comprehensive evaluation suites, integrate business systems and data sources, instrument cost and quality telemetry, and collaborate with business users to iterate within defined scopes. Requires extensive software engineering experience, production LLM application expertise, strong Python and TypeScript skills, API craftsmanship, prompt and context engineering, and a commitment to guardrails and evaluation.
Top Skills: Ai AgentsAPIsContext EngineeringInformation Retrieval (Ir)Large Language Models (Llms)Llm EvaluationPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)Typescript
Yesterday
Remote
United States
Senior level
Senior level
Information Technology • Consulting
Build and deploy LLM-powered agents, workflows, and integrations using production templates, pipelines, and guardrails. Develop comprehensive evaluation suites, integrate with business systems and data sources, and instrument solutions for cost and quality telemetry. Collaborate with business users to iterate rapidly within defined scopes. The role requires strong Python and TypeScript skills, production LLM application experience, API development, prompt and context engineering, and retrieval expertise.
Top Skills: Ai AgentsAPIsContext EngineeringGuardrailsInformation Retrieval (Ir)Large Language Models (Llms)Llm EvaluationPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)TelemetryTypescript
Yesterday
Remote
United States
Expert/Leader
Expert/Leader
Information Technology • Consulting
Build and deploy LLM-powered agents and workflows using production templates, pipelines, and guardrails. Develop comprehensive evaluations, integrate with business systems and data sources, instrument cost and quality telemetry, and collaborate with business users to iterate within defined scopes. The role requires strong Python and TypeScript skills, production experience with agents, RAG, and tool use, as well as expertise in prompt and context engineering.
Top Skills: Ai AgentsAPIsContext EngineeringLarge Language Models (Llms)Llm EvaluationPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)TelemetryTypescript

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account