- Company Name
- Obat
- Job Title
- Tech AI Enablement (H/F)
- Job Description
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**Job Title**
Tech AI Enablement Engineer
**Role Summary**
Lead the institutionalization of AI‑augmented development across a growing tech team of 25 developers, 5 QA engineers, and 2 SREs. Drive the adoption of generative AI, prompt engineering, and AI‑powered tooling to increase coding efficiency, quality, and delivery velocity.
**Expectations**
- Deliver measurable improvements in velocity and code quality through AI tooling and workflows.
- Become the trusted advisor for all AI‑related queries and best‑practice adoption.
- Design and run continuous learning and feedback loops that embed AI into the core development lifecycle.
**Key Responsibilities**
- **Culture & Evangelism** – Organize workshops, talks, and demos to embed an AI‑augmented mindset.
- **Tooling & Automation** – Research, evaluate, and document AI solutions (e.g., GPT models, RAG, code‑generation agents). Maintain an internal AI toolbox and playbook.
- **Process Integration** – Collaborate with leads to embed AI in CI/CD, automated testing, code review, documentation, and QA workflows.
- **Training & Support** – Assess skill levels, design tailored learning paths, and provide hands‑on mentoring.
- **Metrics & Impact** – Define KPIs, track adoption, and report on productivity, quality, and ROI.
- **Hands‑on Practice** – Actively use AI in daily coding, contribute to projects, and perform pair programming to stay technically immersed.
**Required Skills**
- 7+ years of full‑stack development experience (React/JavaScript, PHP/Symfony).
- Advanced prompt engineering for code generation and chat‑bot building.
- Familiarity with modern AI concepts: multi‑modal prompting, MLP, RAG, copilots, and agentic frameworks.
- Experience with CI/CD pipelines, automated testing, and code‑review tooling.
- Strong communication and coaching abilities; proven track record leading or mentoring teams.
- Ability to research, prototype, and iterate AI solutions rapidly.
**Required Education & Certifications**
- Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
- Certifications in AI/ML (e.g., OpenAI Developer, Google Cloud AI, Microsoft Certified: Azure AI Engineer) are a plus.
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