Senior AI Engineer / Data Engineer

Senior AI Engineer / Data Engineer

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.
  

• 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.