Sr Applied LLM Engineer
full-time•San Francisco
About this role
Sr. Applied LLM Engineer
Qualifications- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 3+ years of software development experience, with a focus on building and deploying AI/ML applications
- Strong backend engineering experience, including:
- Building APIs from the ground up using Python frameworks such as FastAPI and Django
- Deploying and scaling containerized applications in cloud environments (e.g., AWS, GCP, Azure)
- Implementing CI/CD pipelines (e.g., GitHub Actions)
- Working with Infrastructure-as-Code tools such as Terraform or Pulumi
- Building APIs from the ground up using Python frameworks such as FastAPI and Django
- Hands-on experience building LLM-based applications, including:
- Designing multi-step LLM workflows and task-specific agents
- Experience working with most frontier models (e.g. OpenAI, Anthropic, Google, etc…)
- Experience with AI tools as a user, specifically AI code editors
- Developing advanced prompt engineering strategies, evaluation frameworks, and RAG pipelines
- Conducting technical R&D to explore and define the boundaries of model functionality
- Designing multi-step LLM workflows and task-specific agents
- Familiarity with secure coding practices, ideally in regulated industries (e.g., life sciences, healthcare, fintech)
- Experience working in or adjacent to regulated domains (life sciences, clinical R&D) is a plus
- Frontend development experience (e.g., React) is a plus, but not required
Requirements
- Ability to design and maintain scalable, production-grade backend systems for AI applications
- Ability to create, orchestrate, and evaluate LLM-based agents and chained workflows with minimal oversight
- Ability to debug and improve LLM-driven systems, identifying issues across multiple layers (model output, API behavior, system logic)
- Ability to conduct rapid experimentation and research on LLM capabilities and translate findings into production functionality
- Ability to stay current with emerging practices, models, and tooling in the generative AI ecosystem and apply them pragmatically
- Ability to communicate clearly with technical and non-technical collaborators (e.g., product managers, medical writers, customer teams)
- Ability to operate effectively in a fast-paced, ambiguity-heavy environment, managing shifting priorities and novel problem spaces
Other Information
- Very comfortable working in a fast-paced and intense startup environment
- Willing to work in-person in our office in Mission Bay 4-5 days/week
- Likes matcha KitKats, believes every LLM prompt is just Schrodinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system
Requirements
Why are you interested in Artos?Have you successfully brought an LLM-based application to production for external customers?
Are you comfortable with a high-intensity "startup hours" environment (roughly 12–14 hours/day) to hit aggressive growth targets?
What you'll do
- Design and maintain scalable backend systems for AI applications, and create and evaluate LLM-based agents and workflows. Conduct rapid experimentation on LLM capabilities and translate findings into production functionality.
About Simple Solutions
Simple Solutions is a Management System Consultancy Company, which has since its inception given seed to innovate concepts in developing integrated management system development for service & manufacturing sectors in the country.
Our area of expertise includes the following:
Management System Consultancy:
We have extensive expertise in providing Management System Consultancy in the following sectors applicable for all categories of industry.
• Quality Management System - ISO 9001:2000
• Environmental Management System - ISO 14001: 2004
• Occupational Health & Safety Management System - OSHAS 18001:2007
• Food Safety Management System – ISO 22000:2005
• Information Security Management System – ISO 27001
• Social Accountability Standard - SA 8000
• Corporate Social Responsibility Systems – CSR
• Ethical Standards Management System Implementation for Vendor Enlistment.
• Hazard Analysis & Critical Control Point (HACCP) - especially for food
processing industry
• Current Good Manufacturing Practices (cGMP) standards for food & pharmaceutical industries.
Product Certification System & Country Specific System Certification for Exporters
• Safe Quality Food (SQF 2000CM) - Product Certification for Food Industry from
Food Marketing Institute, USA
• British Retail Consortium (BRC) Certification for Food Exporters to UK.
• International Food Standard (IFS) Certification for Food Exporters.
Environmental Impact Assessment Studies & Statutory Environmental Clearance
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Frequently Asked Questions
What does a Sr Applied LLM Engineer do at Simple Solutions?
As a Sr Applied LLM Engineer at Simple Solutions, you will: design and maintain scalable backend systems for AI applications, and create and evaluate LLM-based agents and workflows. Conduct rapid experimentation on LLM capabilities and translate findings into production functionality..
Is the Sr Applied LLM Engineer position at Simple Solutions remote?
The Sr Applied LLM Engineer position at Simple Solutions is based in San Francisco, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Sr Applied LLM Engineer position at Simple Solutions?
You can apply for the Sr Applied LLM Engineer position at Simple Solutionsdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.