Ai/ml Engineer

Details
As an AI-First AI/ML Engineer, you'll be architecting and deploying intelligent systems that leverage cutting-edge AI technologies including LangChain orchestration, autonomous AI agents, and robust AWS cloud infrastructure. We are seeking expertise in modern AI/ML frameworks, agentic systems, and scalable backend development using Node.js and Python. Your AI-powered engineering approach will create sophisticated machine learning solutions that drive autonomous decision-making and solve complex business challenges at enterprise scale.
About You
You are an AI/ML specialist who has fully embraced AI-first development methodologies, using advanced AI tools (e.g., Copilot, ChatGPT, Claude, CodeLlama) to accelerate your machine learning workflows. You're equally comfortable building LangChain orchestration pipelines, deploying Hugging Face models, developing autonomous AI agents, and architecting scalable AWS backend systems using Node.js and Python. You move FAST - capable of shipping complete, production-ready features within 1 week cycles. You are a proactive person and a go-getter, willing to go the extra mile. You understand that modern AI engineering means creating intelligent systems that can reason, learn, and act autonomously while maintaining reliability and performance. You thrive using TDD methods, MLOps practices, and Agile methodologies while focusing on finding elegant solutions to complex AI challenges.
This is a hybrid role where you'll be spending your time across 4 core functions:

- Internal Projects (25%) - Building and maintaining OneSeven's internal AI tools and platforms
- Sales Engineering (25%) - Supporting sales team with technical demos, proof-of-concepts, and client presentations
- AI-First Engineering and Innovation Sprints (25%) - Rapid prototyping and innovation on cutting-edge AI technologies
- Forward Deployed Engineering (25%) - Working directly with clients on-site or embedded in their teams to deliver solutions

**Qualifications**:
Technical Requirements
Core AI/ML Skills
- 4+ years AI/ML development experience with production deployments
- Fluent English required - strong written and verbal communication skills for direct client interaction
- 9am-5pm EST availability with reliable workspace/internet - willing to work extra hours
- FAST execution mindset - must be able to ship complete features within 1 week
- Strong system architecture experience - designing scalable, distributed AI/ML systems
- Expert-level LangChain experience for AI orchestration and workflow management
- Hugging Face experience - transformers, model integration, and deployment
- Extensive AI Agent development with LangChain or Google Vertex AI
- Heavy AWS cloud experience, particularly with Bedrock, SageMaker, and AI/ML services
- Backend generalist comfortable with Node.js and Python for AI service development
- Agile methodologies experience, startup environment passion
- Independent problem-solver, team player willing to work extra hours

AI Agent & LangChain Expertise (required)
- LangChain framework mastery for complex AI workflow orchestration
- Hugging Face integration - transformers, model deployment, and API integration
- AI Agent architecture design with LangChain or Google Vertex AI
- Prompt engineering and chain-of-thought optimization
- Vector databases and embedding systems (Pinecone, Pgvector, Chroma)
- RAG pipeline development and optimization
- LLM integration across multiple providers (OpenAI, Anthropic, AWS Bedrock, Hugging Face)
- Agentic system design with memory, planning, and execution capabilities

Backend & Cloud Infrastructure
- Heavy AWS Cloud services experience (Lambda, API Gateway, S3, RDS, SageMaker, Bedrock)
- Microservices architecture and design patterns for AI systems at scale
- Node.js and Python backend development for AI service APIs
- RESTful API design and GraphQL for AI service integration
- Database design and management for AI data workflows
- Modern JavaScript/TypeScript and Python async programming

MLOps & Integration
- CI/CD pipelines and GitHub Actions for ML model deployment
- Model versioning, monitoring, and automated retraining workflows
- Container orchestration (Docker, Kubernetes) for AI services
- Performance optimization for high-throughput AI systems
- Modern authentication and secure API design for AI endpoints
- API security implementation (XSS, CSRF protection)

Bonus Qualifications
- Advanced Hugging Face experience (fine-tuning, custom models, optimization)
- Multi-modal AI experience (vision, audio, text processing)
- Advanced prompt engineering and fine-tuning experience
- DevOps and infrastructure as code (Terraform, CloudFormation)
- Database optimization for vector search and AI workloads
- Additional cloud platforms (Azure AI, Google Vertex AI)
- Knowledge graph integration and semantic reasoning

Project Deliverables
You'll be working on building a comprehensive AI-powered business intelligence system with autonomous agent capa