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Senior Ai Coding Trainer Jobs in Georgia (NOW HIRING)

Florence Healthcare - US

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered ... Participate in code reviews and design discussions * Support and mentor mid-level engineers where ...

IBM

Senior AI Architect

Boston, GA · On-site

... code standards and CI/CD pipeline patterns for AI workloads, enabling repeatable and auditable ... Training and educational resources on our personalized, AI-driven learning platform where IBMers ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$140 - $200/hr

We are seeking a motivated Senior AI Engineer to design, implement, and deploy cutting-edge AI ... GitHub CoPilot, Claude Code, Cursor, or equivalent)We are proud to offer a range of incentives to ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

We are seeking a motivated Senior AI Engineer to design, implement, and deploy cutting-edge AI ... GitHub CoPilot, Claude Code, Cursor, or equivalent) We are proud to offer a range of incentives to ...

Florence Healthcare - US

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered ... Participate in code reviews and design discussions * Support and mentor mid-level engineers where ...

Ascent360

Senior AI Engineer

Atlanta, GA · On-site

$120 - $160/hr

We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered ... Participate in code reviews and design discussions * Support and mentor mid-level engineers where ...

Dolby

Senior AI Multimodal Researcher

Atlanta, GA · On-site

At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby ... or training. Your recruiter can share more about the specific salary range and perks and benefits ...

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other ... Experience pre-training or fine-tuning LLMs We are actively seeking candidates for full-time, ...

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other ... Experience pre-training or fine-tuning LLMs We are actively seeking candidates for full-time, ...

AMC Health

Senior Software Engineer Applied AI

Atlanta, GA · On-site

$117K - $155K/yr

End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced ... Infrastructure as code across multiple environments (we run on AWS) * Managed compute, data ...

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Senior AI Engineer

Florence Healthcare - US

Atlanta, GA

$100K - $138K/yr

Full-time

Re-posted 18 days ago

Job description

What You'll Bring to The Team:

We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered features. This role focuses on owning end-to-end implementation of AI systems within a product area - from prototyping to production - with a strong emphasis on reliability, iteration, and measurable impact. You will work closely with product and engineering teams to turn ambiguous problems into effective AI solutions, while contributing to best practices and raising the bar for AI development.

You Will:End-to-End AI Feature Ownership
  • Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-step reasoning)
  • Own the full lifecycle: prototyping evaluation production deployment iteration
  • Ensure solutions are reliable, performant, and aligned with product needs
AI System Implementation
  • Build and optimize:
    • Prompt pipelines for specific use cases
    • Retrieval systems (embeddings, chunking, ranking)
    • RAG-based workflows where needed
  • Iterate on outputs to improve quality, accuracy, and consistency
  • Design scalable and cost-efficient AI architectures for production workloads
  • Select and evaluate models (hosted vs open-source) based on use case constraints
  • Agent-Based Systems (AgentCore)
    • Design and build agentic workflows capable of multi-step reasoning and decision-making
    • Integrate agents with tools, APIs, and internal systems to perform real-world actions
    • Implement planning, execution, and reflection loops for complex tasks
    • Manage context, memory, and state across multi-step interactions
    • Balance deterministic workflows vs. agent autonomy for reliability and control
Experimentation & Evaluation
  • Run structured experiments to compare approaches (prompting, retrieval, models)
  • Define and track key metrics for AI performance (quality, latency, cost)
  • Debug and improve non-deterministic system behavior
  • Build and maintain evaluation datasets and benchmarks
  • Implement automated evaluation pipelines for continuous improvement
Collaboration & Contribution
  • Drive technical direction and influence AI adoption across teams
  • Partner with product managers and designers to scope AI features
  • Contribute to shared patterns and reusable components
  • Participate in code reviews and design discussions
  • Support and mentor mid-level engineers where needed
AI Reliability, Safety & Governance
  • Design guardrails to ensure safe and reliable AI behavior
  • Mitigate hallucinations, prompt injection, and model misuse
  • Ensure compliance with data privacy and enterprise requirements
  • Implement monitoring and observability for AI systems in production
  • Implement guardrails for agent actions (tool access control, execution boundaries)
  • Prevent failure cascades in multi-step agent workflows

An Ideal Candidate Has: 

Core AI Skills
  • Strong understanding of LLM capabilities and limitations
  • Experience with prompt engineering and structured output design
  • Hands-on experience with embeddings and vector search
  • Familiarity with RAG architectures and when to apply them
  • Experience designing agent-based architectures (AgentCore concepts)
  • Understanding of tool use, planning strategies, and memory mechanisms in LLM systems
Engineering Skills
  • 4+ years of related work experience 
  • Solid backend/system design fundamentals
  • Evaluate agent performance across multi-step tasks (task success rate, error propagation)
  • Debug and optimize agent decision-making and tool selection behavior
  • Experience building and deploying production-grade systems
  • Ability to debug complex issues, including probabilistic outputs
  • Comfort working with APIs, pipelines, and data flows
Product Thinking
  • Ability to translate user needs into effective AI solutions
  • Strong intuition for balancing quality, latency, and cost
  • Focus on delivering measurable product impact
Collaboration
  • Communicates clearly across engineering and product teams
  • Contributes to team knowledge and shared practices
What Success Looks Like:
  • Ships high-quality AI features that deliver clear user value
  • Demonstrates strong ownership from idea to production
  • Improves systems through structured iteration and experimentation
  • Contributes to team-level best practices and reusable solutions


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