LLM Fine-Tuning and Alignment Engineer

Jalasoft

. Develop content for Jala University's Master in AI Systems Engineering .

Posted 9/17/2026contractRemote • ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI systems engineering content, producing tuned models, and ensuring reproducibility in production environments. Proficient in technical writing and creating educational materials for advanced AI methodologies.

Highest-signal resume keywords

Production AI/ML ExperienceSFT, PEFT, Preference OptimizationAlignment-Audit Track RecordTechnical Writing to Publication StandardReproducibility Discipline

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model DevelopmentDomain-Data PreparationPreference OptimizationAlignment-Auditing MethodologyMulti-GPU Scale ManagementProduction Software ShippingTechnical DocumentationEvaluation Rubric CreationArtifact Building to Production StandardRun Lineage Discipline

Soft Skills

Professional Written English

Tools & Technologies

AxolotlUnslothPEFTTRLHugging Face Inference EndpointsModal (H100 / A100 80GB)Weights & BiasesOpenRouter

Industry Keywords

AI Systems EngineeringContent DevelopmentTechnical ExplanationProduction StandardsReproducibility

About the role

Key responsibilities & impact

Develop content for Jala University's Master in AI Systems Engineering
Produce a tuned model and audit report covering SFT, PEFT/LoRA, DPO/KTO, verifier-driven RL, domain-data preparation, preference optimization, and alignment-auditing methodology
Create module content, labs, an evaluation rubric, and an instructor guide
Build the deliverable personally to production standard
Ensure reproducibility through pinned dependencies, containers, seeded runs, and documented decoding parameters

Requirements

What you’ll need

5+ years shipping production software
2+ years in production AI/ML
Production SFT, PEFT and preference-optimization experience on real domain data
An alignment-audit track record
Comfortable at multi-GPU scale and disciplined about run lineage
Ability to build the artifact personally to production standard
Public writing samples showing technical explanation, including docs, workshop material, a book chapter, or an open-source project known for its docs
Ability to write to publication standard
Reproducibility discipline, including pinned dependencies, containers, seeded runs, and documented decoding parameters
Professional written English
Experience with Axolotl, Unsloth, PEFT, TRL, Hugging Face Inference Endpoints, Modal (H100 / A100 80GB), Weights & Biases, and OpenRouter

Benefits

Comp & perks

Remote work modality (home office)
Joining a dynamic and growing organization with international reach