AI Engineer

Responsibilities

• Design, develop, and deploy machine learning and AI models for business use cases.
• Design and fine‑tune underlying models (reasoning chains, tool use, agent architectures, etc.).
• Define agent capabilities and manage stakeholder expectations around reliability.
• Develop and orchestrate multi‑step AI agents for reasoning and workflow execution.
• Build agentic workflows leveraging foundation models.
• Test AI agents against enterprise systems and design benchmarks for evaluation.
• Collaborate with data scientists, BI teams, and stakeholders for AI‑driven solutions.

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• 5+ years of experience in AI/ML, data science, or applied AI engineering.
• Strong programming skills in Python.
• Solid understanding of machine learning fundamentals and evaluation techniques.
• Familiarity with prompt engineering and large language models (LLMs).
• Experience with Retrieval‑Augmented Generation (RAG) architectures.
• Experience working with APIs and integrating AI into applications.
• Familiarity with orchestration frameworks (e.g., Lang Chain, Semantic Kernel, or similar).