Key Responsibilities

• Design and maintain AI agent workflows using LangGraph to support automated marketing content generation and related use cases.
• Translate business requirements and user needs into scalable AI solution architectures, including model selection, orchestration, and data flow design.
• Partner closely with product, engineering, and business stakeholders to define AI-driven features, success metrics, and technical feasibility.
• Implement memory, context, and personalization systems to ensure consistent application of user preferences and brand style in generated content.
• Evaluate and recommend LLM models, tools, and frameworks based on performance, cost, latency, and use-case alignment.
• Prototype, test, and iterate on AI solutions using rapid experimentation and proof-of-concept development.
• Optimize response quality and performance, including latency reduction, streaming responses, and prompt optimization.
• Design and oversee automated evaluation and quality assurance pipelines to measure accuracy, relevance, and brand alignment of AI-generated content.
• Document solution designs, workflows, and best practices to support knowledge sharing and long-term maintainability.

• 4+ years of proven experience designing and implementing generative AI solutions, including LLM-based applications and agent-driven workflows.
• Hands-on experience with AI orchestration frameworks (e.g., LangChain, LangGraph) and stateful or cyclical agent architectures.
• Strong understanding of Retrieval-Augmented Generation (RAG) and practical experience using vector databases (e.g., Pinecone, Weaviate, Chroma, Supabase Vector).
• Proficiency in prompt, engineering,  including prompt optimization, chaining, and few-shot techniques.
• Solid backend development experience using Python, particularly for AI logic, data processing, and service-based architectures.
• Experience using TypeScript across the stack to build maintainable, type-safe applications.
• Frontend experience with modern React frameworks (preferably Remix), including server-side rendering and efficient data handling.
• Familiarity with multiple LLM providers and models (e.g., OpenAI, Anthropic, Google) and an understanding of model trade-offs.
• Experience designing AI systems with production considerations in mind, including latency, cost optimization, observability, and scalability.
• Working knowledge of cloud-native deployment and infrastructure (Docker, AWS or equivalent).
• Experience integrating relational databases with vector search (e.g., PostgreSQL + embeddings).

Why Join Our Team:

Big brand bragging rights. You'll be working with very recognizable companies (from Fortune 50 logos to up-and-coming brands) that are sure to impress friends and family.

Diverse, Inclusive, and Energetic team atmosphere. You'll be alongside a group of deeply supportive and diverse colleagues combined with highly approachable ‘open-door’/’open-book’ managers that treat you like a person, not a cog.

Career Stability and Growth. Many team members have been at MotionPoint for more than a decade because they really love our commitment to culture and improving our platform, processes and people, every day. We love our internal talent, and career advancement opportunities both within and outside hired departments are available. We run our business and manage performance with a growth mindset.

Mental, Physical, and Financial Health. Among MotionPoint's offerings are a ‘remote-first’ hybrid work model, flexible PTO, 10 paid holidays, paid parental bonding leave, gym membership reimbursement, free Employee Assistance Programs, robust medical/dental/vision plans, and 401(k) with immediate vesting and up to 4% employer match, to name a few!