AI Engineer (Python / AWS / RAG)

Key Responsibilities:

AI Assistant Development

Design and implement enterprise-grade Retrieval-Augmented Generation (RAG) services
Build secure AI assistants capable of retrieving highly contextual information from structured and unstructured data sources
Optimize response quality, latency, and retrieval accuracy

Intelligent Document Processing

Build scalable document ingestion pipelines utilizing AWS Textract and AWS Comprehend
Extract entities from business records, contracts, filings, and scanned PDFs
Index processed information into AWS OpenSearch for intelligent retrieval

AI Workflow Automation

Develop intelligent automation services capable of monitoring business workflows
Identify missing documentation, operational anomalies, deadlines, and milestones
Generate actionable recommendations for staff

Infrastructure & Deployment

Containerize AI services using Docker
Deploy cloud infrastructure using Terraform across AWS Lambda, ECS/ECR, SageMaker, and supporting services
Maintain scalable, highly available production environments

Engineering Excellence

Produce clean, maintainable, and secure production code
Participate in architecture discussions, code reviews, sprint planning, and technical design sessions
Continuously improve system reliability, observability, and AI performance

Key Requirements:
5–8 years of software engineering experience
Extensive Python backend development experience
Production AI/LLM implementation experience
Strong AWS cloud engineering background
Experience building scalable AI-powered backend services
Excellent written and verbal English communication skills
Experience working within Agile/Scrum environments
Self-driven work ethic in fully remote teams

Required Skills (Day One)

Programming & Backend

Python
FastAPI

Artificial Intelligence

Retrieval-Augmented Generation (RAG)
Large Language Model integrations
Prompt Engineering
Vector Search concepts

AWS Services

AWS Bedrock
AWS Textract
AWS Lambda
AWS SageMaker
AWS S3
AWS RDS
AWS Comprehend
AWS OpenSearch

DevOps & Infrastructure

Docker
ECS / ECR
Terraform
REST APIs
Microservices Architecture