- Company Name
- BioRender
- Job Title
- Applied AI Engineer, Internal Products
- Job Description
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**Job Title:** Applied AI Engineer, Internal Products
**Role Summary:**
Design, develop, and ship AI‑powered internal tools and automation solutions that increase efficiency across business units. Lead the full lifecycle from problem definition to production deployment, collaborating closely with Sales, Finance, People, and Customer Success teams to create scalable, robust systems.
**Expectations:**
- 4+ years of end‑to‑end software engineering experience (backend + basic frontend).
- Proficiency in Python and JavaScript/Node.
- Hands‑on experience with AI model APIs (OpenAI, Anthropic/Claude, Google Gemini, etc.) and building custom integrations with SaaS tools and third‑party APIs.
- Strong engineering fundamentals: testing, logging, monitoring, error handling, security basics, code quality.
- Proven ability to own ambiguous problems, prioritize, and execute with minimal oversight.
- Excellent communication with non‑technical stakeholders and ability to build trust in delivered solutions.
- Product mindset: translate complex business processes into technical designs, iterate with stakeholders, and experiment with pilots or A/B tests when appropriate.
**Key Responsibilities:**
- Partner with internal teams to identify high‑impact automation opportunities.
- Translate business needs into well‑designed internal systems and tools.
- Design, build, and ship scalable, production‑ready AI and automation solutions.
- Determine optimal approach (build, buy, configure) for each problem.
- Evolve prototypes into reliable, maintainable systems with attention to observability and correctness.
- Embed within teams to understand workflows, decision points, and friction sources.
- Drive adoption, ensure trust, and deliver long‑term value.
- Document patterns, share learnings, and enable cross‑company scaling of solutions.
**Required Skills:**
- Software development: Python, JavaScript/Node, backend architecture, basic frontend.
- AI and APIs: Experience with OpenAI, Anthropic, Google Gemini, v0/Vercel, and similar services.
- Integration: Building and maintaining connections between SaaS tools, internal systems, APIs.
- Engineering rigor: Testing, logging, monitoring, error handling, security fundamentals, code quality.
- Rapid prototyping and deployment: choose appropriate level of engineering—from custom code to low‑code tools.
- Product acumen: mapping business processes, translating into technical designs, iterative enhancement.
- Strong communication, stakeholder management, and ability to build trust with non‑technical partners.
- Proactive, self‑directed work style; high agency, ownership of ambiguous problems.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience with 4+ years of production system delivery.
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