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Swift Pace Solutions

AI/ML Engineering Junior Engineer

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Description

AI/ML Engineering Junior Engineer

Location: Silicon Valley (Onsite) | Type: Full-time | Visa Sponsorship: No

What you'll do

· Work embedded in the AI engineering team on a scoped project: RAG pipeline

optimization, agentic workflow tooling, model evaluation infrastructure, or LLM

integration.

· Write production-quality Python; contribute code that goes into the codebase.

· Run experiments, document results with data, and present findings to the team.

· Own a pipeline or feature end-to-end, contribute to production systems, and operate with

higher independence.

What we require

Enrolled in or recently completed a BS or MS in Computer Science, ML, or related field at an

accredited university. Strong GPA required.

· Prior built AI systems — coursework alone is not sufficient. GitHub portfolio, research,

hackathon, or prior internship with shipped AI work required.

· Working knowledge of Python and at least one LLM framework (Lang Chain,

Llama Index, or equivalent).

· 1–2 years of post-degree or equivalent industry experience; demonstrated ability to ship

production AI systems.

· Authorized to work in the US without current or future employer sponsorship. No

OPT/CPT arrangements sponsored.

Skills

What Junior ML / AI jobs ask for — and how much of it you have →
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See also

ML / AI jobs by country — openings, pay and top skills →