Greenfield engineering, applying existing modern AI solutions to a profitable legal business. 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.
Job Details
Role Overview: We are seeking a highly skilled Agentic AI Engineer with a passion for staying at the forefront of emerging technologies, the ability to quickly grasp complex scientific literature, and the capability to 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, help leverage transformative AI technologies to revolutionize client service, enhance vendor relationships, streamline interactions with the legal system, and optimize daily business operations. Embrace AI-driven innovation to set a new standard for efficiency, responsiveness, and excellence in the legal industry.
Responsibilities
Design and implement custom AI solutions to improve existing business functions from scratch
Leverage AI technologies to enhance client service, vendor relationships, and operational efficiency
Required Qualifications
Agentic AI construction: building multi-node decision models including retrieval augmented generation (RAG), semantic search, data extraction, converting unstructured data to structured formats, agentic memory, and API integrations
Agentic AI guidance: guardrails, human-in-the-loop, multi-agent workflows, decision reflection, source citation, and verification to reduce inaccuracies
Technology stack experience: LangChain/LangGraph/LangSmith, AWS Lambda/S3/Gateway/ECR, OpenAI API, OpenAI’s Swarm/Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker
AI-centered coding workflow: research, systems architecture, code analysis, troubleshooting, and coding with LLMs and tools like Cursor AI, Copilot
Ability to present proofs of concept with frontend, backend, and devops perspectives
Strong knowledge of full-stack development for AI-driven applications (nice to have)
Familiarity with Docker, Kubernetes, and DevOps methodologies (nice to have)
Background in AI research and experimentation (nice to have)
Strong problem-solving, analytical thinking, and excellent communication skills for non-technical stakeholders
Benefits
Health coverage through United Healthcare (Medical, Dental, Vision)
Life insurance
401(k) matching
PTO and sick days
Compensation
Zone A (Bay Area, NYC, Boston, DC, Seattle, LA): $180,000-$220,000
Zone B (Dallas, Atlanta, Denver, Chicago, Miami, Austin, Portland, Philadelphia, Minneapolis, Phoenix): $140,000-$180,000
Zone C (All other cities/states): $120,000-$160,000
Legal and Other
Base pay range statement: $150,000.00/yr - $200,000.00/yr. The actual pay will be based on skills and experience. Jobot is an Equal Opportunity Employer. Background checks may be performed as required by law.
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