Agentic AI Engineer

Greenfield engineering, applying existing modern AI solutions to a profitable legal business.

This Jobot Job is hosted by : Charles Simmons

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Salary : $150,000 - $200,000 per year

A bit about us :

Premier litigation law firm in California, dedicated to pioneering the future of legal services through advanced artificial intelligence. Our goal is to become one of the nation's first law firms built from the ground up with AI at its core.

Why join us?

• Design and implement custom AI solutions to improve existing business functions from scratch

small, collaborative team environment, dedicated to innovation

Compensation :

Benefits :

Job Details

Role Overview :

We are seeking a highly skilled Agentic AI Engineer with :

A passion for staying at the forefront of emerging technologies, with an ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in real-world applications.

Deep enthusiasm for agentic AI and demonstrated expertise in applying it creatively and effectively across diverse domains.

Extensive technical breadth spanning frontend and backend development, large language models (LLMs), machine learning, retrieval-augmented generation (RAG), and agentic AI solutions.

Proven experience designing, developing, integrating, deploying, and maintaining sophisticated AI-driven systems at scale.

What You’ll Do :

In the coming months, you’ll help us leverage transformative AI technologies to revolutionize client service, enhance vendor relationships, streamline interactions with the legal system, and optimize our daily business operations. By embracing AI-driven innovation, we aim to set a new standard for efficiency, responsiveness, and excellence in the legal industry.

Required Qualifications :

Agentic AI Construction : Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, data scraping / extraction, converting unstructured data to structured, state graphs / agentic memory, calling APIs

Agentic AI Guidance : Adding guardrails, human in the loop, multi-agent work flows, reflection, citing sources, response verification, and other methodologies to increase the accuracy of agentic responses and prevent hallucinations

Technology Stack : Experience building with LangChain / LangGraph / LangSmith, AWS Lambda / S3 / Gateway / ECR, OpenAI’s API, OpenAI’s Swarm / Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker

AI Centered Coding Workflow : Experience conducting research, systems architecting, analyzing code, troubleshooting, and writing code with LLMs, Cursor AI, Copilot, etc.

Ability to Present Proof of Concepts Well : Enough frontend, backend, devops experience to craft proof of concepts for agentic AI solutions

Nice to Have

Strong knowledge of full-stack development for AI-driven applications.

Familiarity with Docker, Kubernetes, and DevOps methodologies.

Background in AI research and experimentation.

Skills & Mindset :

Strong problem-solving abilities and analytical thinking.

Entrepreneurial and adaptable mindset in a fast-paced environment.

Excellent communication skills to convey AI-driven insights to non-technical stakeholders.

Ability to work independently and collaboratively in an agile team.

Join us in revolutionizing the legal industry through AI-driven innovation. Apply now to be part of our cutting-edge team!

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

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