We help enterprise customers build AI systems tailored to their specific work. Our goal is to deliver better economics than relying solely on closed-source models such as Claude, Gemini, and OpenAI. You will work across model customisation, deployment, agent systems, and customer delivery. We do not expect one person to specialise in everything. You should bring strong experience in at least two of these areas and be comfortable collaborating across the others.
Responsibilities
Turn customer use cases into training and evaluation plans; Select suitable data, models, and training approaches; Fine-tune and evaluate models for specialised domains; Improve quality based on testing and production feedback; Design cost-effective cloud or on-prem deployment approaches; Select suitable infrastructure and serving configurations; Improve reliability, latency, and operating cost; Build monitoring, backup, and recovery processes; Build agent workflows around language models; Connect models with customer data, tools, and existing systems; Add the controls and observability needed for production use; Work with customers to understand their requirements and constraints; Explain trade-offs between quality, cost, privacy, and complexity; Help take solutions from early discovery through production launchRequirements
Strong experience in at least two of the areas above; Practical experience building or operating production AI systems; Solid software engineering or machine learning engineering skills; Familiarity with open-weight language models and the modern LLM ecosystem; Good judgement when balancing model quality, cost, latency, and reliability; The ability to work through ambiguous technical and customer requirements; Clear communication with both technical and non-technical stakeholdersBenefits
$1,000 annual learning and development budget; $150/month health and wellness allowance; $500 home office budget; 26 weeks paid primary parental leave; 18 weeks paid secondary parental leave; fertility support up to $10,000; four weeks of work from anywhere per year; serious equityJak aplikować
Aplikuj online: https://www.jobs.pl/oferta/100065758/aplikuj
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