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Senior AI Engineer (Local's Prefers)
AceStack LLC
1 hour ago
Full-time
On-site
Role:
Senior AI Engineer
Location:
Lake Mary, FL (Local's Prefers)
Contract & FTE Only
Look for Senior/Lead Engineer with 10-12+ years of genuine experience.
Core Programming • Python Intermediate/Advanced - async programming • API Development - FastAPI • Writing production-grade, scalable code • Testing (unit, integration) • Debugging complex distributed system
LLM Fundamentals • Prompt Engineering • Tokenization, context windows • Model selection • Handling hallucinations and grounding responses
Retrieval-Augmented generation (RAG) • Document Ingestion and preprocessing • Chunking Strategies (semantic, recursive, sliding window) • Embeddings • Vector database - pgvector • Hybrid search (keyword (BM25) + semantic) • Re-ranking and relevance tuning
Agentic Frameworks and Orchestration • Multi-agent coordination • Memory Management • Workflow orchestration
Evaluation and Observability • LLM Evaluation metrics (accuracy, faithfulness and relevance) • Prompt/version tracking • Logging and Tracking • Human in the loop (HITL) feedback loops
Deployment and MLOps • Containerization (Docker) • CI/CD pipelines • Monitoring
Senior AI Engineer
Location:
Lake Mary, FL (Local's Prefers)
Contract & FTE Only
Look for Senior/Lead Engineer with 10-12+ years of genuine experience.
Core Programming • Python Intermediate/Advanced - async programming • API Development - FastAPI • Writing production-grade, scalable code • Testing (unit, integration) • Debugging complex distributed system
LLM Fundamentals • Prompt Engineering • Tokenization, context windows • Model selection • Handling hallucinations and grounding responses
Retrieval-Augmented generation (RAG) • Document Ingestion and preprocessing • Chunking Strategies (semantic, recursive, sliding window) • Embeddings • Vector database - pgvector • Hybrid search (keyword (BM25) + semantic) • Re-ranking and relevance tuning
Agentic Frameworks and Orchestration • Multi-agent coordination • Memory Management • Workflow orchestration
Evaluation and Observability • LLM Evaluation metrics (accuracy, faithfulness and relevance) • Prompt/version tracking • Logging and Tracking • Human in the loop (HITL) feedback loops
Deployment and MLOps • Containerization (Docker) • CI/CD pipelines • Monitoring