
AI Software Engineering Leader
3 days ago
This is a highly skilled software engineer role that requires deep expertise in full stack development, Generative AI, and DevSecOps practices.
- Design and build LLM-powered applications with capabilities such as retrieval-augmented generation, multi-agent systems, generative search, and AI copilots.
- Implement prompt engineering, fine-tuning, and evaluation frameworks for production-grade reliability.
- Optimize AI inference at scale, focusing on latency, cost efficiency, and guardrails.
As a senior-level engineer, you will be responsible for architecting and delivering end-to-end features across frontend, backend, and cloud-native infrastructure.
Key qualifications include:
- 7+ years of professional software engineering experience, with 2+ years in a senior/lead role.
- Strong full stack development skills, including Python, Java, etc.
- Proven experience delivering Generative AI applications into production, including LLM integration, RAG pipelines, fine-tuning, and evaluation of models.
- Solid knowledge of DevSecOps and shift-left practices, including automated testing, SAST/DAST, IaC, CI/CD.
- Hands-on experience with cloud-native platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes) and infrastructure provisioning.
Nice-to-have skills include:
- Experience with multi-agent architectures or autonomous AI workflows.
- Familiarity with AI evaluation frameworks (LangSmith, Weights & Biases, MLflow).
- Contributions to open-source AI/ML or developer tooling.
- Startup or high-growth environment experience.
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