Senior AI/ML Engineer: LLM Agents in Production

Ciklum

United States

On-site

USD 140,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Healthcare
Life Insurance
Disability Insurance
Udemy access
Company-paid certifications

Job summary

Ciklum is seeking an Expert Artificial Intelligence/Machine Learning Engineer to join our US team full-time. You will build LLM-powered agents and workflows, ensuring production readiness with robust evals and cost-quality telemetry.

You’ll pair with business users to rapidly iterate within scoped projects. You will work with Python and TypeScript, crafting APIs and prompt strategies that survive real-user interactions, and contribute to a cross-functional team shaping future experiences on our

Qualifications

  • 8+ years of software engineering experience.
  • 2.5+ years building LLM applications in production (agents, RAG, tool use).
  • Strong Python and TypeScript skills; API craftsmanship.
  • Prompt and context engineering that withstands user interactions.
  • Ability to write LLM evals as part of development and release.

Responsibilities

  • Build and ship LLM-powered agents and workflows on templates and pipelines.
  • Write and run evaluation suites; ensure every release passes tests.
  • Integrate with company systems and data sources; track cost and quality telemetry.
  • Collaborate with business users to iterate quickly within bounded scopes.

Skills

Software engineering
LLM applications
Python
TypeScript
API design
Prompt engineering
LLM evals

Tools

APIs
Python tooling
TypeScript tooling

Job description

Ciklum is seeking an Expert Artificial Intelligence/Machine Learning Engineer to join our US team full-time. You will build LLM-powered agents and workflows, ensuring production readiness with robust evals and cost-quality telemetry.

You’ll pair with business users to rapidly iterate within scoped projects. You will work with Python and TypeScript, crafting APIs and prompt strategies that survive real-user interactions, and contribute to a cross-functional team shaping future experiences on our

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