- Company Name
- Imprint
- Job Title
- Senior Software Engineer, AI
- Job Description
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**Job Title**
Senior Software Engineer, AI
**Role Summary**
Design, build, and scale an internal agent platform that enables automated workflows across engineering, operations, customer success, finance, and business development. Deliver open‑source and custom LLM‑driven agents, secure orchestration, and user‑friendly interfaces for non‑technical stakeholders.
**Expectations**
- Deliver high‑quality, production‑grade AI services on a cloud platform within the organization’s security and compliance standards.
- Own end‑to‑end development from concept through deployment, testing, monitoring, and iterative improvement.
- Provide technical leadership and guidance on AI strategy, prompt engineering, and system design to cross‑functional teams.
**Key Responsibilities**
1. **Platform Architecture** – Design and implement the agent platform: API gateway, orchestration service, storage, monitoring, and CI/CD pipelines.
2. **Agent Development** – Create 50+ specialized agents that automate tasks (e.g., ticket triage, data extraction, report generation) across multiple business units.
3. **Integration** – Build reliable integrations with internal systems (CRMs, data warehouses, communication tools, proprietary platforms) using secure APIs.
4. **AI Engineering** – Prototype, evaluate, and deploy LLMs, RAG pipelines, embeddings, and multimodal models (OpenAI, Claude, Gemini, etc.).
5. **Product Experience** – Design intuitive interfaces and workflows that abstract AI complexity for non‑technical users.
6. **Operations & Security** – Implement model monitoring, data privacy safeguards, and AI safety best practices; manage production reliability and scalability.
**Required Skills**
- Strong proficiency in Go (primary backend language) or equivalent (Java, Python).
- Hands‑on experience with LLM APIs (OpenAI, Claude, Gemini) and AI/ML frameworks.
- Proven production experience on AWS or GCP with CI/CD (GitHub Actions, ArgoCD, or similar).
- Deep knowledge of prompt engineering, agent frameworks, RAG architectures, and model evaluation.
- API design, system integration, and secure data handling expertise.
- Customer‑centric product development mindset; ability to translate business needs into technical solutions.
- Familiarity with AI safety, security, and compliance requirements.
**Required Education & Certifications**
- Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field.
- Relevant certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect) and AI frameworks are a plus.