Job Title: AI Engineer
Location: Dallas , TX (Onsite)
Duration: 12+ Months Contract
IDEAL PROFILE:
Python-first AI Engineer who builds production ML + Agentic AI systems at enterprise scale using AWS.
1. Strong Engineering Foundation (Critical)
- Python is primary language
- Builds scalable backend services/APIs
- Shows performance optimization (latency, throughput)
2. Agentic AI (Top Filter)
- Hands-on with LangChain / AutoGen / CrewAI
- RAG pipelines with vector DBs
- Real use case with impact metrics
3. AWS Cloud Depth
- SageMaker, EKS/ECS, Lambda, S3
- Real deployment examples
4. ML + Statistics Foundations
- Evaluation metrics (precision, recall, F1, AUC)
- ML concepts & algorithms
5. Production ML Systems
- End-to-end lifecycle: training, deployment, monitoring
- Model serving & monitoring
6. Analytical Problem Solving
- Problem → Solution → Impact
- Measurable results
7. Enterprise Platform Experience
- Platform-level systems used across teams
- High-scale, distributed systems
