Description

You will build and optimize LLM-powered applications, agents, and workflows for legal and professional use cases.

This role is on-site.

Responsibilities

• Implement LLM application capabilities including prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns.
• Build scalable orchestration layers for prompting, retrieval, and tool integration across AI services.
• Prototype and productionize AI capabilities using frameworks such as LangChain, LangGraph, LlamaIndex, and Google ADK.
• Support engineering teams in adopting AI-assisted development workflows and modern AI engineering practices.
• Create technical documentation, sample applications, and implementation guides to help engineers transition to AI-powered development.

Required Skills

• 5+ years of experience as a Software Engineer or AI Engineer with strong production experience building LLM-powered applications.
• Python is mandatory for building agents and backend logic.
• Experience with AI systems, agentic development, and AI-enabled dev tools.
• Understanding of LLM concepts, specifically Retrieval-Augmented Generation (RAG).
• Frontend proficiency in Angular and TypeScript.
• Backend proficiency in .NET Core (C#) or modern Java services.
• Familiarity with AWS, Azure, or GCP cloud platforms.

Preferred Skills

• Experience with OpenAI SDKs, Anthropic/Claude APIs, or MCP/A2A protocols.
• Background in building evaluation, monitoring, and observability tooling for AI applications.

Key Skills

Education

Bachelor's degree