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AI Developer / AI Engineer
Skills
Computer ScienceJavaApache SparkArchitectureArtificial IntelligenceAutocadBusiness
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Track record of AI systems personally built and shipped to production
- Strong hands-on engineering fundamentals and ability to write real code
- Developer track experience with LLM APIs RAG vector databases and agent frameworks
- Engineer track experience with training fine-tuning model serving MLOps and scaling
- Judgment to make hard technical calls and explain why
- Ability to verify work and show how a system actually works
- Clear communication with engineers and executives
Nice to have
- Independent
- Technical
- Results-driven
- Self-motivated
- Detail-oriented
- Dependable
- Outside-the-box
- Head's-down
Day to day
- Build production AI systems that real users and operations depend on
- Develop LLM-powered applications agentic workflows retrieval and integrations that solve real business problems
- Own training fine-tuning model serving MLOps and infrastructure that keeps models fast reliable and affordable at scale
Hiring process
- Recruiter outreach to confirm interest and fit
- Direct representation to matched clients
- Client interview
- Offer
- Placement into the right seat