Gen AI +AWS Engineer

Role & responsibilities

Core AI & ML Skills

• Hands-on experience building GenAI solutions (LLMs, RAG pipelines, embeddings, semantic search)
• Practical use of OCR and document intelligence techniques across unstructured data (PDFs, images, scanned forms)
• Strong understanding of NLP concepts (entity extraction, classification, keyword detection)
• Experience with agentic / multiagent architectures and workflow-based AI systems
• Ability to adapt or fine-tune models for accuracy, confidence scoring, and explainability

Architecture & System Design

• Proven ability to design end-to-end AI platforms, beyond proof-of-concepts
• Experience with large-scale document pipelines (ingestion processing indexing retrieval)
• Strong knowledge of RAG vs alternative architectures (hybrid search, knowledge graphs, semantic indexing)
• Experience with event-driven and serverless patterns for scalable processing
• Ability to reason about trade-offs (accuracy vs cost, latency vs scale, complexity vs maintainability)

Cloud & Platform Engineering

• Strong experience in at least one major cloud platform (AWS preferred)
• Familiarity with: 
• Object storage (e.g. S3)
• Serverless compute (e.g. Lambda)
• Managed AI/ML and OCR services
• Infrastructure-as-Code mindset (e.g. Terraform or equivalent)
• Ability to design cloud-agnostic solutions where required.