Senior Applied Artificial Intelligence Engineer, Parallel Learning
Special education staff support for schools
Be an early applicant
Special education staff support for schools
101-200 employees
Be an early applicant
101-200 employees
Company mission
To support schools with the resources so every child can succeed in the classroom and beyond.
Role
Who you are
- 5+ years of software engineering experience with at least 2 years focused on AI/ML applications
- Strong proficiency in both Python and TypeScript/JavaScript
- Production experience with LLM APIs (OpenAI, Claude, or similar)
- Experience building and deploying AI agents or conversational AI systems
- Demonstrated ability to implement RAG systems and vector databases
- Strong understanding of prompt engineering and LLM limitations
- Experience with modern web frameworks (React, NestJS, FastAPI)
- Track record of shipping AI features to production at scale
- Must be authorized to work in the US
- Required Technical Skills...
- AI/ML Frameworks: LangChain, LangGraph, or similar agent frameworks
- LLM Integration: OpenAI API, Claude API, function calling, streaming responses
- Vector Databases: Pinecone, Chroma, pgvector, or similar
- Programming: Advanced Python (async, type hints), modern TypeScript
- Databases: PostgreSQL, Redis, experience with embeddings and similarity search
- API Design: RESTful APIs, GraphQL, WebSocket for real-time features
- Testing: Unit testing for AI components, evaluation frameworks
- Monitoring: LLM-specific observability tools (LangSmith, Weights & Biases)
What the job involves
- Reports To: VP of Product and Engineering
- We're seeking a Senior Applied AI Engineer to bridge the gap between cutting-edge AI capabilities and real-world product features that transform how we support students with learning differences
- This role goes beyond traditional full-stack development—you'll be the architect of intelligent systems that leverage leading models to create meaningful experiences for educators, clinicians, and students
- As our AI specialist, you'll build production-ready agent systems, implement sophisticated tool-calling architectures, and ensure our AI features work seamlessly within our existing product ecosystem
- You'll be at the forefront of applied AI, turning the latest advances into practical solutions that directly impact children's educational outcomes
- Build and deploy AI agents that enhance clinical and educational workflows
- Architect intelligent features using the latest LLMs without reinventing the wheel
- Shape how AI is integrated across our entire product suite
- Work with both Python and TypeScript to create cohesive AI experiences
- Pioneer responsible AI practices in the sensitive EdTech/HealthTech space
- Collaborate with a passionate team dedicated to making a real difference
- Design and implement production-ready AI agents using LangChain, LangGraph, and similar frameworks
- Build sophisticated tool-calling systems that allow AI to interact with our application APIs
- Develop multi-agent workflows for complex educational and clinical tasks
- Create robust prompt engineering strategies and maintain prompt versioning
- Implement RAG systems for contextual AI responses
- Optimize agent performance for latency, cost, and accuracy
- Build Python-based AI services using FastAPI for model serving
- Develop TypeScript/React components that seamlessly integrate AI features
- Create real-time streaming interfaces for LLM responses
- Implement secure API endpoints for AI functionality with proper authentication
- Design fallback systems and graceful degradation for AI features
- Build evaluation and testing frameworks for AI-powered features
- Ensure all AI implementations comply with FERPA and COPPA requirements
- Implement privacy-preserving techniques for handling sensitive student data
- Build audit trails and explainability features for AI decisions
- Develop content filtering and safety mechanisms appropriate for K-12 environments
- Create monitoring systems to detect and prevent AI misuse or harmful outputs
- Collaborate with legal and compliance teams on AI governance policies
Our take
One-fifth of US students struggle with some kind of thinking or learning difference, like dyslexia or dyspraxia - but classrooms are rarely fit to accommodate the special provisions required. Waitlists for private treatment, tutoring, and therapy can be prohibitively long - and the cost prohibitively steep, too. So what’s the answer? For educational support company Parallel, it’s about democratizing and accelerating access for students in need.
Parallel’s platform centralizes providers, resources, and assessment options which can see learners diagnosed and accessing support in a matter of days. It’s this rapid turnaround time, in fact, which has no doubt helped Parallel net partnerships with school systems: schools are legally obliged to offer educational support, but are often too under-resourced and overworked to comfortably do so within the legal time frame.
While the company is still very young, its responding to a real market need and has already made impressive strides. In Q3 2024, the startup grew its provider network by 200%, with over 95% of providers choosing to stay with the company. And with recent funding to its name, the company is gearing up for an exciting future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
72% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2024
$6.2m
SERIES A
May 2022
$20m
SERIES A
Total funding: $29m
Company HQ
West Village, New York, NY
Leadership
Diana Heldfond
(Founder & CEO)Previously on staff at The Aspen Institute, and went on to work as a Strategic Advisory Analyst at PJT Partners, then as Strategy & Corporate Development Lead at Vitrina.ai.
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