
11 - 50 employees
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Nacre Capital is a global venture builder that creates, builds, and grows start-ups focused on deep technologies that have a significant societal impact. The company identifies fundamental needs and develops innovative solutions in various sectors, including healthcare, biotechnology, agriculture, and aquaculture. They provide comprehensive support to start-ups, including financial, legal, and recruitment services, and actively help scale their ventures globally. Nacre Capital notably works with companies like FDNA, which assists in identifying rare diseases, and Seed-X, which advances AI-based solutions for seed and grain supply chains.
đĽ 1 hour ago
đ Greece, Spain, +3 more countries â Remote
â° Full Time
đ Senior
đ¤ AI Engineer
đť Ghost score 17%
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11 - 50 employees
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Nacre Capital is a global venture builder that creates, builds, and grows start-ups focused on deep technologies that have a significant societal impact. The company identifies fundamental needs and develops innovative solutions in various sectors, including healthcare, biotechnology, agriculture, and aquaculture. They provide comprehensive support to start-ups, including financial, legal, and recruitment services, and actively help scale their ventures globally. Nacre Capital notably works with companies like FDNA, which assists in identifying rare diseases, and Seed-X, which advances AI-based solutions for seed and grain supply chains.
⢠Invent and maintain the agent roadmap by identifying repetitive expert work with sales, data, and product teams ⢠Rank potential agents by feasibility, cost, and impact ⢠Design agent architectures and write production code for tools, loops, sub-agents, memory, state, and evaluation ⢠Build a reusable platform layer over EveryWatch data, including pricing, auctions, listings, references, and portfolios ⢠Develop an MCP surface over the existing backend ⢠Create shared memory, tracing, and reusable evaluation infrastructure ⢠Improve WatchChat's multi-turn state, memory, latency, cost, tool-call reliability, and regression gates ⢠Build golden multi-turn datasets, programmatic tool/argument verifiers, and LLM-as-judge evaluation on held-out sets ⢠Optimize model selection, context budgets, caching, and fine-tuning to manage cost and latency ⢠Collaborate with engineering, product, sales, and data teams to identify and deliver AI capabilities for collectors, dealers, sales teams, data operations, and engineering
⢠6+ years shipping production software, including 2+ years on LLM systems used by real users ⢠Experience with ReAct or equivalent loops, tool/function calling, planners, state and checkpointing, long-term memory, HITL steps, and streaming ⢠Hands-on LangGraph or a strong argument for an alternative ⢠Experience with tracing/observability stacks such as LangSmith or Langfuse ⢠Production Python experience, including FastAPI, asynchronous job processing, and clean service boundaries ⢠Proper RAG experience: retrieval, re-ranking, relevance judgment, and evaluation ⢠Experience with RAGAS, DeepEval, GEVAL, LLM-as-judge, or pass@k evaluation ⢠Cloud production experience with AWS (Bedrock, SQS, EC2/EKS, S3) or equivalent ⢠Docker and CI/CD experience ⢠Strong architectural judgment and willingness to challenge existing technical decisions ⢠Experience with LLM post-training using SFT, LoRA/QLoRA, preference/RL methods, reward design, or verifier design is nice to have ⢠Experience with voice agents, vision-language work, multi-agent orchestration, MCP integrations, text-to-SQL, report/document generation agents, guardrails, PII handling, hallucination detection, or risk scoring is nice to have ⢠Interest in watches, collectibles, or market data is nice to have, not required
⢠Ownership of EverWatch's entire agent layer, and the roadmap for it ⢠A dataset that doesn't exist anywhere else ⢠Direct line to the CTO; decisions in days, not quarters ⢠Budget for models, tooling, and the coding agents you want to work with ⢠Competitive compensation ⢠Remote-first work arrangement
Apply Nowđ June 26
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