Senior Artificial Intelligence/Machine Learning Engineer

Ciklum; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Healthcare

Basic Life Insurance

Short and Long-term disability

Udemy access

Language courses

Company-paid certifications

Job summary

Ciklum is seeking a Senior AI/Machine Learning Engineer to join our US team on a full‑time basis. You will build and ship LLM-powered agents and workflows on the platform’s templates, ensuring production readiness with eval suites and guardrails.

You’ll integrate with internal data sources and partner with business users to iterate quickly within bounded scopes. Ideal candidates have extensive software engineering experience with Python and TypeScript, and a proven ability to design robust APIs

Qualifications

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

Responsibilities

• Builds the agents, models, and integrations on the platform's templates — the hands that turn use cases into production systems.
• 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

Skills

Python

TypeScript

LLM applications

API design

Prompt engineering

Job description

Job Description

Ciklum is looking for a Senior AI/Machine Learning Engineer to join our team full-time in theUS .

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

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.