- Company Name
- SR2 | Socially Responsible Recruitment | Certified B Corporation™
- Job Title
- Senior AI Engineer
- Job Description
-
**Job Title:** Senior AI Engineer
**Role Summary:**
Design, develop, and operationalize generative AI solutions, owning the entire model lifecycle from experimentation to production deployment. Leverage advanced transformer architectures to build scalable, high‑performance products in collaboration with product and engineering teams.
**Expectations:**
- 5–8+ years of industry experience in applied generative AI.
- Proven track record shipping end‑to‑end generative AI products.
- U.S. Green Card holder or Permanent Resident required.
- Exhibits strong ownership, decisiveness, and ability to thrive in fast‑paced environments.
**Key Responsibilities:**
1. Architect, prototype, and deploy generative AI systems (LLM, multimodal, agents, etc.).
2. Manage full model lifecycle: experiment design, fine‑tuning, evaluation, optimization, and production release.
3. Collaborate with product and engineering teams to shape AI strategy and roadmap.
4. Build and maintain scalable data pipelines, model serving infrastructure, and monitoring dashboards.
5. Continuously evaluate emerging AI techniques, frameworks, and tooling to enhance product capabilities.
**Required Skills:**
- Advanced programming in Python.
- Deep knowledge of transformer architectures, embedding techniques, fine‑tuning methods, and retrieval‑augmented generation.
- Expertise in modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
- Experience with cloud MLOps platforms (AWS, GCP, Azure) and deployment pipelines (Kubeflow, Sagemaker, etc.).
- Strong skills in model evaluation, safety, and robustness.
- Excellent communication, collaboration, and stakeholder management abilities.
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or related field (or equivalent professional experience).
- Relevant certifications (e.g., AWS Certified Machine Learning, Google Cloud Professional Data Engineer) are a plus but not mandatory.