Senior Software Engineer

Emploi pas sur LinkedIn

🕒 il y a 10 jours

🗣️🇺🇸🇬🇧 Anglais requis

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Trajector

1001 - 5000 employés

Fondée en 2014

🤲 Charité

⚕️ Assurance santé

🌍 Impact social

Charity • Healthcare Insurance • Social Impact

Trajector se consacre à aider la population handicapée sous-desservie et à risque à naviguer dans le processus complexe des prestations d'invalidité. Ils fournissent des services de plaidoyer essentiels pour aider les clients à comprendre et à sécuriser les prestations auxquelles ils ont droit de la part d'entités gouvernementales et privées. Avec un accent fort mis sur l'empathie, l'intégrité et la communication, Trajector travaille sans relâche pour améliorer la trajectoire de vie de chaque client, s'assurant qu'ils sont soutenus tout au long de leur parcours vers une meilleure santé et une stabilité financière.

Description

• Design and implementation of reliable, maintainable, and scalable GenAI systems in production. • Serve as a subject matter expert for machine learning systems owned by the team. • Mentor junior and mid level engineers through code reviews, technical guidance, and design collaboration. • Design, evaluate, and implement GenAI systems and workflows for information extraction and document generation. • Ability to take a proof of concept and turn it into production capable system. • Collaborate with product managers, data scientists, and engineers to translate business needs into high quality, production ready ML solutions. • Present findings, insights, and system results to technical and non technical stakeholders.

🎯 Exigences

• Authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. • Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical field. • 3-5 years of experience designing, building, and deploying scalable production applications. • Strong proficiency in Python. • Hands on experience of distributed computing and cloud platforms (g., AWS, Kubernetes, Terraform, CI/CD frameworks). • Excellent communication and collaboration skills. • Nice to haves: Experience with prompt engineering, RAG systems, and LLM evaluation. • Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen). • Experience with workflow orchestration tools (e.g., Airflow, Prefect, Temporal) for managing complex ML/GenAI pipelines. • Familiarity with vector databases and retrieval-augmented generation (RAG) patterns. • Experience evaluating and mitigating LLM risks (hallucinations, bias, safety).

🏖️ Avantages

• Competitive compensation ranging from $150,000 - $180,000 per year PLUS quarterly bonus. • Medical, dental, vision, 401k program, and more. • Paid time off, including seven (7) federal holidays plus two (2) flex holidays for DEI. • Joining a rapidly growing organization.

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