How To MANAGE a Small Law Firm
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Artificial Intelligence Engineer
role at
How To MANAGE a Small Law Firm Job Summary:
As our
AI Systems & RAG Developer , you’ll build scalable, context-aware AI systems that integrate large language models, RAG pipelines, and advanced data visualization tools. You’ll play a core role in architecting, deploying, and monitoring AI agents that learn, reason, and collaborate across dynamic knowledge graphs.
Responsibilities
Develop AI Systems:
Architect and deploy LLM-based applications using RAG pipelines and autonomous agents.
RAG Workflows:
Build end-to-end Retrieval-Augmented Generation pipelines leveraging vector databases (e.g., Pinecone, Weaviate, FAISS).
Agent-Oriented Architectures:
Design multi-agent systems using frameworks like CrewAI, AutoGen, or custom orchestration logic.
API Integration & Security:
Connect to external APIs securely and efficiently; manage tokens and secrets via environmental variables or secure vaults.
Data Visualization:
Use NetworkX, Pyvis, or Neo4j to create vector node models that visualize retrieval results, agent interactions, and system state.
Collaboration:
Partner with data science, product, and DevOps teams to build production-ready applications.
Documentation & Best Practices:
Maintain clean code, internal docs, and contribute to our AI playbook with tools, articles.
Required Skills/Abilities
3+ years experience building AI/ML systems or intelligent applications
Advanced Python skills and experience with frameworks like MS CoPilot, Make AI agents, Power platform
Strong knowledge of LLM APIs (e.g., OpenAI, Anthropic, Mistral, Google Gemini)
Experience with vector databases (e.g. Neo4j, Chroma)
Familiarity with prompt engineering, embeddings, and semantic search
Hands-on experience with AI agents or multi-agent orchestration
Proficient in managing secure APIs and cloud services (AWS/GCP/Azure)
Comfortable working in agile, distributed environments
Bonus Points
Built or visualized a knowledge graph or RAG document graph
Experience with Streamlit, D3.js, or React for front-end visualizations
Contributions to open-source AI or RAG libraries
Understanding of MLOps or CI/CD for AI systems
Familiarity with role-based API access, JWT tokens, and system monitoring
What We Offer
Competitive compensation and equity
Inclusive, supportive, and creative team environment
Direct access to the latest AI tools, models, and frameworks
Real ownership in shaping the future of AI-powered systems
Education and Experience
B. A. degree and Certifications preferred
Physical Requirements
Prolonged periods sitting at a desk and working on a computer
Must be able to lift up to 15 pounds at times
Travel Travel may be required for team meetings, Live Quarterly meetings, workshops, and other events.
Position Type / Hours This is a full-time position, and hours of work and days are to be determined in conjunction with supervisor. Occasional evening and weekend work may be required as job duties demand.
Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Duties, responsibilities and activities may change at any time with or without notice.
Location Fully Remote (U.S. applicants only; eligible states: AZ, CO, FL, GA, IL, MD, MI, NC, NJ, NY, PA, TX, VA, WA)
Equal Employment Opportunity HTM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Seniority level Mid-Senior level
Employment type Full-time
Job function Legal
Industries Law Practice and Legal Services
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Artificial Intelligence Engineer
role at
How To MANAGE a Small Law Firm Job Summary:
As our
AI Systems & RAG Developer , you’ll build scalable, context-aware AI systems that integrate large language models, RAG pipelines, and advanced data visualization tools. You’ll play a core role in architecting, deploying, and monitoring AI agents that learn, reason, and collaborate across dynamic knowledge graphs.
Responsibilities
Develop AI Systems:
Architect and deploy LLM-based applications using RAG pipelines and autonomous agents.
RAG Workflows:
Build end-to-end Retrieval-Augmented Generation pipelines leveraging vector databases (e.g., Pinecone, Weaviate, FAISS).
Agent-Oriented Architectures:
Design multi-agent systems using frameworks like CrewAI, AutoGen, or custom orchestration logic.
API Integration & Security:
Connect to external APIs securely and efficiently; manage tokens and secrets via environmental variables or secure vaults.
Data Visualization:
Use NetworkX, Pyvis, or Neo4j to create vector node models that visualize retrieval results, agent interactions, and system state.
Collaboration:
Partner with data science, product, and DevOps teams to build production-ready applications.
Documentation & Best Practices:
Maintain clean code, internal docs, and contribute to our AI playbook with tools, articles.
Required Skills/Abilities
3+ years experience building AI/ML systems or intelligent applications
Advanced Python skills and experience with frameworks like MS CoPilot, Make AI agents, Power platform
Strong knowledge of LLM APIs (e.g., OpenAI, Anthropic, Mistral, Google Gemini)
Experience with vector databases (e.g. Neo4j, Chroma)
Familiarity with prompt engineering, embeddings, and semantic search
Hands-on experience with AI agents or multi-agent orchestration
Proficient in managing secure APIs and cloud services (AWS/GCP/Azure)
Comfortable working in agile, distributed environments
Bonus Points
Built or visualized a knowledge graph or RAG document graph
Experience with Streamlit, D3.js, or React for front-end visualizations
Contributions to open-source AI or RAG libraries
Understanding of MLOps or CI/CD for AI systems
Familiarity with role-based API access, JWT tokens, and system monitoring
What We Offer
Competitive compensation and equity
Inclusive, supportive, and creative team environment
Direct access to the latest AI tools, models, and frameworks
Real ownership in shaping the future of AI-powered systems
Education and Experience
B. A. degree and Certifications preferred
Physical Requirements
Prolonged periods sitting at a desk and working on a computer
Must be able to lift up to 15 pounds at times
Travel Travel may be required for team meetings, Live Quarterly meetings, workshops, and other events.
Position Type / Hours This is a full-time position, and hours of work and days are to be determined in conjunction with supervisor. Occasional evening and weekend work may be required as job duties demand.
Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Duties, responsibilities and activities may change at any time with or without notice.
Location Fully Remote (U.S. applicants only; eligible states: AZ, CO, FL, GA, IL, MD, MI, NC, NJ, NY, PA, TX, VA, WA)
Equal Employment Opportunity HTM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Seniority level Mid-Senior level
Employment type Full-time
Job function Legal
Industries Law Practice and Legal Services
#J-18808-Ljbffr