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Tier-1 employer plus a mid-level AI role with broad LLM requirements increases competition but remains niche.
Core LLM engineering skills transfer across industries, though legal and compliance context creates mild domain bias.
Explicit 2–3 years plus mandatory LLM/RAG, Python and DevOps skills implies strict technical filters.
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Design, build, test, and deploy AI-powered agent solutions using LLMs and agentic frameworks to automate Legal & Compliance (L&C) processes.
Collaborate with L&C stakeholders and internal engineering/data teams to identify AI use cases, translate business workflows into technical solutions, and contribute across the full AI development lifecycle.
Maintain and optimize existing AI agent tools, ensure governance-compliant documentation, manage project deliverables, and support change management and user training.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
2–3 years of hands-on experience with AI/ML frameworks, large language models, or agentic development tools (e.g., Microsoft Copilot Studio, Azure OpenAI).
Proficiency in Python; familiarity with DevOps tools (Git, Azure DevOps, Jenkins) and Agile methodologies.
Experience with RAG pipelines, prompt engineering, and model evaluation.
Experienced in translating complex business workflows into AI agent solutions within regulated environments like Legal and Compliance.
Comfortable working across full SDLC, collaborating with cross-functional teams including stakeholders, designers, engineers, and product managers.
Current on emerging AI and automation technologies with a focus on scalable, efficient, and reliable solutions for operational process optimization.