Founding LLM Engineer

FULL TIME
mid

Salary

No salary data

vs. Engineering avg

Ghost Score

Worse than category average

Engineering jobs

Freshness

Posted 1 months ago

Required Skills

Job Description

Spherecast is a startup focused on AI-driven solutions for supply chain management. As a Founding LLM Engineer, you will be responsible for building Agnes, an AI Supply Chain Manager that optimizes production and logistics through advanced LLM technology. Responsibilities: Building Agnes from the ground up – our AI Supply Chain Manager that decides what to produce, where to make it, and how to move it through factories, warehouses, and channels; Owning AI systems end-to-end: from prototypes to production, from prompts to tested and evaluated pipelines, from agents to real-world outcomes (POs, TOs, bookings); Working directly with the core team to turn the physical flow of goods into something as programmable as code Qualifications: Hands-on experience with modern LLM APIs (e.g. Anthropic, OpenAI, DeepSeek, OpenRouter, Gemini, Moonshot) and have shipped features using them; Strong intuition for large language model selection – you understand the strengths, weaknesses, latency/cost tradeoffs, and ideal use cases of different LLMs; Practical experience with the HuggingFace ecosystem in real projects; A track record of building LLM-powered automations or agents that are core to a production system, not just internal demos or playgrounds; Experience designing and maintaining evaluation pipelines to iterate quickly and safely on prompts and workflows; Strong prompting and system-design skills – you know how to design tools/functions, structured outputs, and multi-step agent flows that are robust to edge cases; Experience with LLM observability and monitoring (logging, traces, quality metrics, feedback loops) to track and improve production accuracy over time Required Skills: Large Language Models (LLMs), LLM APIs, Anthropic API, OpenAI API, DeepSeek API, OpenRouter API, Gemini API, Moonshot API, HuggingFace ecosystem, LLM-powered automation, Agent design, Evaluation pipelines, Prompt engineering, System design, LLM observability, Monitoring, Logging, Quality metrics, Feedback loops, Self-hosted LLMs, Intuition

Ghost Score Breakdown

Posted 30-59 days ago
+ pts
No salary (mandate state violation)
+ pts
No company logo
+ pts
Known scam/ghost company
Reposted listing
Expired deadline
High job-to-employee ratio
Recruiting agency
Overall: 35/100Moderate Ghost Risk

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