LLM Fine-Tuning and Alignment Engineer

Job not on LinkedIn

🔥 14 hours ago

🌐 Colombia, Argentina, +4 more countries – Remote

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⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

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Logo of Jalasoft

Jalasoft

1001 - 5000 employees

Founded 2003

☁️ SaaS

📚 Education

Software Development • SaaS • Education

Jalasoft is a global nearshore software development company with a strong presence across 70 cities in 13 countries. With a team of over 1000 South American-based software engineers, Jalasoft specializes in software development, quality assurance (QA), and DevOps solutions. The company focuses on staff augmentation and dedicated teams tailored to meet client needs, ensuring quality and efficiency in project delivery. Jalasoft places a strong emphasis on security, holding an ISO 27001 certification, and partners with leading technology firms like Palo Alto, NVIDIA, and Cisco to offer reliable network and data center management. In addition, Jalasoft operates Jala University, offering educational programs in technology to foster and recruit top tech talent. The company aims to drive digital transformation by providing agile, culturally aligned nearshore software solutions.

📋 Description

• 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

• 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

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

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