AI Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 6 hours ago
2-5 years
India
Data Science Analytics & Machine Learning
hybrid
Full Time
Closes 11 Jan 2027

Posted: 6 hours ago
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Job Description

About Colombo & Hurd, PL

Colombo & Hurd, PL is a nationally recognized immigration law firm dedicated to representing professionals, investors, businesses, and families from across Latin America and around the world. Since our founding in 2006, we have grown to a global team of over 500 professionals, including more than 35 U.S.-based immigration attorneys.

Named the Top Immigration Law Firm in Central Florida by the Orlando Business Journal, we take pride in our mission to provide exceptional legal representation while advancing the cause of immigrants. Our commitment to excellence, innovation, and integrity defines who we are.

Position Overview

At Colombo & Hurd, AI is more than a technology initiative, its an opportunity to transform how our firm works and serves its clients. Our teams support people navigating major life transitions, and the tools we build can have a meaningful impact on their experience. As an AI Engineer, youll help turn that opportunity into reality by building and improving AI-powered products and internal tools that make our teams more effective, informed, and efficient.

Working alongside the Director of AI, other engineers, and firm-wide stakeholders, youll help take ideas from prototype to production. Were looking for someone who understands not only how technology works, but why it matters: a curious, critical thinker who considers the bigger picture, takes ownership of problems, and makes thoughtful decisions that balance quality, speed, security, and user needs.

Key Responsibilities

  • Build and deploy LLM-powered applications and services in Python on Azure.
  • Develop AI drafting pipelines, knowledge bases, RAG systems, and tool-calling agents.
  • Integrate AI solutions with internal systems through APIs and webhooks.
  • Evaluate AI output quality and help maintain reliable, secure production services.
  • Collaborate with engineers, external partners, and firm-wide stakeholders to solve problems and improve AI tools.

Qualifications & Requirements

  • 2–5 years of professional software engineering experience, with a focus on full-stack development.
  • Experience shipping at least one LLM-powered feature or product to production and maintaining it after launch.
  • Strong Python skills, including modern backend frameworks (e.g., FastAPI, Django).
  • Experience building and maintaining full-stack tools or applications that support critical business operations.
  • Hands-on experience with an agent orchestration framework (e.g., LangGraph, LangChain).
  • Experience building RAG systems: embeddings, vector or hybrid search, chunking, and retrieval tuning.
  • Experience with LLM APIs (e.g., Azure OpenAI, OpenAI, Anthropic), including prompt design, structured outputs, and tool calling.
  • Experience building automated evaluations for AI output quality, including golden test sets and LLM-as-judge.
  • Solid experience with relational databases (e.g., PostgreSQL, Azure SQL), API design, containers (e.g., Docker), and CI/CD (e.g., GitHub Actions).
  • Experience deploying, monitoring, and debugging services on a major cloud platform, preferably Azure.
  • Ability to own features end to end, navigate ambiguity, and make sound trade-offs between quality and speed.
  • Strong curiosity, critical thinking, and a desire to understand how systems work.
  • Strong communication skills and the ability to explain technical decisions to nontechnical stakeholders.

What We Offer

  • The opportunity to work with a prestigious and growing U.S. immigration law firm.
  • Comprehensive training and ongoing support.
  • The opportunity to make a meaningful impact on the client experience during an important stage of their immigration journey.
  • Competitive compensation.

How Youll Succeed

We value engineers who think beyond assigned tasks, understand how technical decisions affect people using their work, and can explain what they built, why they built it, and what they learned. You should be comfortable with ambiguity, receptive to feedback, and willing to share knowledge and help teammates grow.

Skills

PythonAi EngineerDjangoAiSqlLlmRagEmbeddingsTool CallingOpenaiAzure OpenaiAnthropicPrompt DesignLangchainLanggraphFastapiWebhooks

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