STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India.
We are seeking a Senior AI Engineer / Data Engineer to join our engineering team and help build the future of AI-powered business solutions. In this role, you'll be developing intelligent systems that leverage advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your work will directly contribute to products that are reshaping how businesses operate-particularly in recruitment, data extraction, and intelligent decision-making.
This is an exciting opportunity for someone who thrives in building production-grade AI systems and working across the full stack of modern AI technologies.
Responsibilities
- Design, build, and optimize AI-powered systems using multi-modal architectures (text, voice, visual).
- Integrate and deploy LLM APIs from providers such as OpenAI, Anthropic, and AWS Bedrock.
- Build and maintain RAG (Retrieval-Augmented Generation) systems with hybrid search, re-ranking, and knowledge graphs.
- Develop real-time AI features using streaming analytics and voice interaction tools (e.g., ElevenLabs).
- Build APIs and pipelines using FastAPI or similar frameworks to support AI workflows.
- Process and analyze unstructured documents with layout and semantic understanding.
- Implement predictive models that power intelligent business recommendations.
- Deploy and maintain scalable solutions using AWS services (EC2, S3, RDS, Lambda, Bedrock, etc.).
- Use Docker for containerization and manage CI/CD workflows and version control via Git.
- Debug, monitor, and optimize performance for large-scale data pipelines.
- Collaborate cross-functionally with product, data, and engineering teams.
Qualifications
- 5+ years of experience in AI/ML or data engineering with Python in production environments.
- Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain.
- Production experience using vector databases like PGVector, Weaviate, FAISS, or Pinecone.
- Strong understanding of NLP, document extraction, and text processing.
- Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools.
- Experience with FastAPI or similar frameworks for building AI/ML APIs.
- Familiarity with embedding models, prompt engineering, and RAG systems.
- Asynchronous programming knowledge for high-throughput pipelines.
- Experience with Docker, Git workflows, CI/CD pipelines, and testing best practices.
Preferred
- Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn).
- Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships.
- Real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs).
- Advanced Python development skills using design patterns and clean architecture.
- Large-scale data processing experience (1-2M+ records) with cost optimization techniques for LLMs.
- Event-driven architecture experience using AWS SQS, SNS, or EventBridge.
- Hands-on experience with fine-tuning, evaluating, and deploying foundation models.
