Senior AI Developer
RemoteHunter · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Design and deploy complex agentic AI systems.
- Scale internal AI platforms and integration infrastructure.
- Shape technical roadmap for AI adoption.
- Develop and maintain production AI systems.
- Automate legal and operational tasks with AI.
About the role
About Our Client
The organization is a multinational law firm recognized for its expertise in intellectual property, corporate litigation, and technology law. Operating globally, it addresses challenges in legal services by leveraging advanced AI technologies to enhance operational efficiency and client service. Its AI Innovation team develops and maintains production AI systems that support hundreds of users internally and aims to expand these capabilities to client-facing solutions. The team operates with a startup-like autonomy within a large enterprise, emphasizing strong employee values and community commitment.
About the Opportunity
The Senior AI Developer role is a fully remote individual contributor position focused on advancing the organization's AI capabilities. This role involves designing and deploying complex agentic AI systems, scaling internal AI platforms, extending integration infrastructure, and shaping the technical roadmap for AI adoption. The position plays a critical role in enabling the organization to utilize AI at scale, improve automation of legal and operational tasks, and maintain robust AI systems that serve enterprise needs.
Responsibilities
- Define and contribute to the AI adoption technical roadmap, including build-versus-buy decisions and vendor evaluations
- Architect multi-agent AI systems and workflows using advanced techniques like function calling and autonomous task decomposition
- Develop and maintain AI automation workflows with quality assurance
- Design context management strategies, including retrieval-augmented generation (RAG), semantic search, and long-term memory management
- Expand the Model Context Protocol (MCP) integration network with new tools and enhanced security
- Create real-time streaming interfaces for AI insights and structured outputs
- Engineer solutions for large-scale data processing challenges
- Implement evaluation pipelines, guardrails, and data governance adhering to regulatory standards
- Assess and integrate new AI models and APIs from leading providers
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field preferred
- Proven experience building production agentic AI systems with tool use and multi-step workflows
- Strong knowledge of Anthropic platform and Microsoft AI services
- Experience with MCP or similar AI-to-tool integration frameworks
- Expertise in building scalable RAG pipelines, semantic search, and document intelligence workflows
- Proficiency in real-time streaming architectures and enterprise authentication protocols
- Ability to work across backend, frontend, and streaming infrastructure
- Familiarity with AI-native development platforms
- Demonstrated problem-solving skills and ability to deliver effective solutions independently
Key skills/competency
- AI Development
- Agentic AI Systems
- Retrieval-Augmented Generation (RAG)
- Semantic Search
- Real-time Streaming
- Model Context Protocol (MCP)
- Anthropic Platform
- Microsoft AI Services
- Data Governance
- Problem-Solving
Skills & topics
- Senior AI Developer
- AI Development
- Agentic AI
- RAG
- Semantic Search
- Real-time Streaming
- MCP
- Anthropic Platform
- Microsoft AI
- LegalTech
- Computer Science
- Engineering
- Data Science
- Python
- Backend Development
- Frontend Development
- Scalability
- Automation
- Remote Work
- Full-time
How to get hired
- Tailor your resume: Highlight experience with agentic AI, RAG, and streaming architectures.
- Showcase relevant projects: Detail your work on production AI systems and tool integrations.
- Prepare for technical interviews: Be ready to discuss AI model integration and scalability.
- Demonstrate problem-solving: Provide examples of independent solution delivery.
- Express interest in AI innovation: Show passion for advancing AI in the legal sector.
Technical preparation
Practice building multi-agent AI systems.,Develop RAG pipelines with large datasets.,Implement real-time data streaming solutions.,Integrate AI models using MCP framework.
Behavioral questions
Describe a complex AI system you built.,How do you handle build vs. buy decisions?,Give an example of independent problem-solving.,How do you stay updated on AI trends?
Frequently asked questions
- What is the primary focus of the Senior AI Developer role at RemoteHunter's client?
- The Senior AI Developer role at RemoteHunter's client focuses on advancing AI capabilities by designing, deploying, and scaling complex agentic AI systems and integrating them into enterprise workflows.
- Is this a remote position for a Senior AI Developer?
- Yes, the Senior AI Developer position is a fully remote individual contributor role, offering flexibility in terms of work location.
- What specific AI technologies are emphasized for this Senior AI Developer role?
- This role emphasizes experience with agentic AI systems, retrieval-augmented generation (RAG), semantic search, real-time streaming architectures, and integration frameworks like MCP, with a strong preference for Anthropic and Microsoft AI services.
- What kind of AI systems will I be working on as a Senior AI Developer?
- As a Senior AI Developer, you will architect and develop multi-agent AI systems, AI automation workflows, and production AI systems that support internal users and potentially client-facing solutions.
- Does the Senior AI Developer role require a specific degree?
- A Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field is preferred for the Senior AI Developer position, though proven experience is highly valued.
- What is the expected level of experience for a Senior AI Developer candidate?
- Candidates for the Senior AI Developer role are expected to have proven experience building production agentic AI systems with tool use and multi-step workflows, and expertise in relevant AI technologies.
- How does this Senior AI Developer role contribute to the organization's goals?
- This role is critical for enabling the organization to utilize AI at scale, improve automation of legal and operational tasks, and maintain robust AI systems that serve enterprise needs.
- What are the key integration aspects for the Senior AI Developer position?
- Key integration aspects include expanding the Model Context Protocol (MCP) integration network, creating real-time streaming interfaces, and working across backend, frontend, and streaming infrastructure.