Job Title: AI Developer
Job Location: Atlanta GA (Onsite from day one)
Job Duration: 12 months
Minimum years of experience required: 8 years
Type of Hire: W2
JOB DETAILS:
AI & GenAI Engineering
- Architect develop and deploy AI/ML and Generative AI solutions across personalization forecasting automation and intelligent assistants.
- Build and optimize LLM based solutions (prompt engineering RAG orchestration guardrails).
- Design scalable end to end ML pipelines: data ingestion feature engineering training evaluation deployment and monitoring.
- Lead model performance optimization bias detection drift monitoring and lifecycle management in production.
Enterprise & Cloud Integration
- Integrate AI solutions with cloud native platforms APIs data lakes and enterprise systems.
- Partner with architecture teams to ensure alignment with enterprise AI security and data standards.
- Apply MLOps best practices for CI/CD observability and reliability.
Required Qualifications
- 8 12 years of professional software engineering experience with 5 years in AI/ML.
- Expert level Python skills; strong experience building production AI systems.
- Hands on experience with Generative AI / LLMs (RAG prompt design orchestration frameworks).
- Strong experience with cloud platforms (GCP / AWS preferred)
- Proven experience deploying AI models into enterprise production environments.
- Deep understanding of ML algorithms model evaluation and system trade offs.
- Experience working in regulated security conscious environments.
Job Title: AI Developer Job Location: Atlanta GA (Onsite from day one) Job Duration: 12 months Minimum years of experience required: 8 years Type of Hire: W2 JOB DETAILS: AI & GenAI Engineering Architect develop and deploy AI/ML and Generative AI solutions across personalization forecas...
Job Title: AI Developer
Job Location: Atlanta GA (Onsite from day one)
Job Duration: 12 months
Minimum years of experience required: 8 years
Type of Hire: W2
JOB DETAILS:
AI & GenAI Engineering
- Architect develop and deploy AI/ML and Generative AI solutions across personalization forecasting automation and intelligent assistants.
- Build and optimize LLM based solutions (prompt engineering RAG orchestration guardrails).
- Design scalable end to end ML pipelines: data ingestion feature engineering training evaluation deployment and monitoring.
- Lead model performance optimization bias detection drift monitoring and lifecycle management in production.
Enterprise & Cloud Integration
- Integrate AI solutions with cloud native platforms APIs data lakes and enterprise systems.
- Partner with architecture teams to ensure alignment with enterprise AI security and data standards.
- Apply MLOps best practices for CI/CD observability and reliability.
Required Qualifications
- 8 12 years of professional software engineering experience with 5 years in AI/ML.
- Expert level Python skills; strong experience building production AI systems.
- Hands on experience with Generative AI / LLMs (RAG prompt design orchestration frameworks).
- Strong experience with cloud platforms (GCP / AWS preferred)
- Proven experience deploying AI models into enterprise production environments.
- Deep understanding of ML algorithms model evaluation and system trade offs.
- Experience working in regulated security conscious environments.
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