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Tier-1 brand and metro location increase competition, role specificity slightly reduces applicant density.
Core ML/LLM skills transfer across industries, but legal/compliance domain familiarity raises fit requirements to medium.
Explicit 2–3 years plus mandatory LLM, RAG, Python and platform skills imply high shortlisting rigor.
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Design, develop, test, and deploy AI-powered agent solutions automating Legal & Compliance processes using large language models and agentic frameworks.
Collaborate closely with L&C stakeholders and internal teams to translate business workflows into functional AI solutions and contribute through the full software development lifecycle.
Maintain and optimize existing AI agents, manage project deliverables, and provide training and support to end-users in a fast-paced environment.
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 like Git, Azure DevOps, Jenkins, and Agile methodologies.
Work Experience Required: 2–3 years relevant experience. Notice period: Not explicitly mentioned in the JD.
Experienced in translating complex Legal and Compliance workflows into AI automation solutions within cross-functional teams.
Technical proficiency with emerging AI technologies, particularly large language models, agentic frameworks, and RAG pipelines, combined with software development lifecycle expertise.
Capable of managing multiple projects with attention to detail and communicating technical concepts effectively to non-technical stakeholders.