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Senior Ai Engineer

  • Senior Ai Engineer job type Posted on: Oct 15, 2026
  • Senior Ai Engineer experience level Conch Technologies Inc
  • Senior Ai Engineer employment type Atlanta, Georgia
  • Senior Ai Engineer employment type Onsite
  • Senior Ai Engineer salary Full-time
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Job Title :

Senior Ai Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Senior AI engineer
Exp: 13+ years
First priority given to Locals GA and then FL, SC, NC, TN
Hybrid Atlanta, GA
Role: Senior AI Engineer
Location: Atlanta, GA (Hybrid)
First Priority will be given for Locals GA candidates then FL, SC, NC, TN
Job Description
We are looking for a Senior AI Engineer who is a hands-on builder at heart. This is not a supervisory or strategy-only position - you will be expected to design, develop, and deliver AI solutions end-to-end, writing production-grade code every day. You will work across the full stack, leverage multiple cloud platforms, and integrate cutting-edge AI frameworks and foundation models to ship real products and capabilities.
Key Responsibilities
Design and build production-ready AI/ML applications, agentic workflows, and intelligent automation systems from concept through deployment
Develop full-stack solutions - backend services, APIs, data pipelines, and front-end interfaces - that embed AI capabilities into real products
Engineer agentic AI systems using LangChain and LangGraph, orchestrating multi-step reasoning, tool use, and autonomous task execution
Build and deploy solutions across AWS Bedrock, Microsoft Azure AI, and Google Cloud Platform (GCP) Vertex AI, selecting the right platform for each use case
Integrate foundation models from Anthropic (Claude), OpenAI (GPT), and Hugging Face into scalable, reliable applications
Implement MLOps and AgentOps pipelines - automated training, evaluation, deployment, monitoring, and lifecycle management for models and agents
Establish AI governance and observability practices using Credo AI for responsible-AI compliance and Fiddler for model monitoring, explainability, and drift detection
Accelerate development velocity using GitHub Copilot and next-generation AI dev tools such as Devin and Windsurf
Write clean, maintainable, production-quality code in Python and Node.js daily
Collaborate with cross-functional teams - product managers, designers, data scientists, and fellow engineers - communicating technical concepts clearly to both technical and non-technical stakeholders
Mentor junior engineers on AI best practices, code quality, and modern development workflows
Stay current with the rapidly evolving AI landscape and proactively introduce new tools, techniques, and architectures
Required Skills & Experience
Every skill listed below is mandatory for this role.
Cloud AI Platforms
AWS Bedrock - hands-on experience building and deploying AI solutions on Amazon's managed foundation-model service
Google Cloud Platform (GCP) - proficiency with Vertex AI, BigQuery ML, and GCP's AI/ML tooling
Microsoft Azure - experience with Azure OpenAI Service, Azure AI Studio, and Azure ML
Programming & Full-Stack Engineering
Python - advanced proficiency; primary language for AI/ML development
Node.js - strong back-end and API development skills
Full Stack Engineering - ability to build complete applications end-to-end (front-end, back-end, data layer, infrastructure)
AI Frameworks & Foundation Models
LangChain & LangGraph - deep, hands-on experience designing and building agentic AI systems, chains, and graph-based orchestration
Anthropic (Claude) - practical experience integrating and optimizing Claude models in production
OpenAI (GPT) - practical experience integrating and optimizing GPT models in production
Hugging Face - experience with the Transformers library, model hub, fine-tuning, and inference optimization
Operations & Governance
MLOps - proven ability to build and maintain end-to-end ML pipelines (training, evaluation, deployment, monitoring, retraining)
AgentOps - experience operationalizing autonomous AI agents with observability, logging, evaluation, and lifecycle management
Credo AI - knowledge of responsible-AI governance frameworks, bias auditing, and compliance tooling
Fiddler - experience with model performance monitoring, explainability dashboards, and data/model drift detection
AI-Powered Development Tools
GitHub Copilot - daily use to accelerate coding and code review
Devin / Windsurf - experience leveraging next-generation AI coding agents to boost engineering productivity
Communication
Excellent communication skills - ability to articulate complex AI concepts, present technical designs, write clear documentation, and collaborate effectively across disciplines
Qualifications
12+ years of professional software engineering experience
5+ years in AI-focused engineering roles, building and shipping AI/ML-powered products
Demonstrated track record of hands-on, end-to-end delivery - you have personally designed, coded, tested, and deployed AI systems in production
Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or a related field (or equivalent practical experience)
Why This Role Stands Out
This is a high-impact, hands-on engineering role for someone who thrives on building. You will work with the latest AI models, frameworks, and tools - and you will be expected to ship working software, not just advise on it. If you love writing code, solving hard problems, and pushing the boundaries of what AI can do in production, this role is for you.
Thanks &

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Jobcon Logo Position Details

Posted:

Oct 15, 2026

Reference Number:

15136-25909

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Senior AI engineer
Exp: 13+ years
First priority given to Locals GA and then FL, SC, NC, TN
Hybrid Atlanta, GA
Role: Senior AI Engineer
Location: Atlanta, GA (Hybrid)
First Priority will be given for Locals GA candidates then FL, SC, NC, TN
Job Description
We are looking for a Senior AI Engineer who is a hands-on builder at heart. This is not a supervisory or strategy-only position - you will be expected to design, develop, and deliver AI solutions end-to-end, writing production-grade code every day. You will work across the full stack, leverage multiple cloud platforms, and integrate cutting-edge AI frameworks and foundation models to ship real products and capabilities.
Key Responsibilities
Design and build production-ready AI/ML applications, agentic workflows, and intelligent automation systems from concept through deployment
Develop full-stack solutions - backend services, APIs, data pipelines, and front-end interfaces - that embed AI capabilities into real products
Engineer agentic AI systems using LangChain and LangGraph, orchestrating multi-step reasoning, tool use, and autonomous task execution
Build and deploy solutions across AWS Bedrock, Microsoft Azure AI, and Google Cloud Platform (GCP) Vertex AI, selecting the right platform for each use case
Integrate foundation models from Anthropic (Claude), OpenAI (GPT), and Hugging Face into scalable, reliable applications
Implement MLOps and AgentOps pipelines - automated training, evaluation, deployment, monitoring, and lifecycle management for models and agents
Establish AI governance and observability practices using Credo AI for responsible-AI compliance and Fiddler for model monitoring, explainability, and drift detection
Accelerate development velocity using GitHub Copilot and next-generation AI dev tools such as Devin and Windsurf
Write clean, maintainable, production-quality code in Python and Node.js daily
Collaborate with cross-functional teams - product managers, designers, data scientists, and fellow engineers - communicating technical concepts clearly to both technical and non-technical stakeholders
Mentor junior engineers on AI best practices, code quality, and modern development workflows
Stay current with the rapidly evolving AI landscape and proactively introduce new tools, techniques, and architectures
Required Skills & Experience
Every skill listed below is mandatory for this role.
Cloud AI Platforms
AWS Bedrock - hands-on experience building and deploying AI solutions on Amazon's managed foundation-model service
Google Cloud Platform (GCP) - proficiency with Vertex AI, BigQuery ML, and GCP's AI/ML tooling
Microsoft Azure - experience with Azure OpenAI Service, Azure AI Studio, and Azure ML
Programming & Full-Stack Engineering
Python - advanced proficiency; primary language for AI/ML development
Node.js - strong back-end and API development skills
Full Stack Engineering - ability to build complete applications end-to-end (front-end, back-end, data layer, infrastructure)
AI Frameworks & Foundation Models
LangChain & LangGraph - deep, hands-on experience designing and building agentic AI systems, chains, and graph-based orchestration
Anthropic (Claude) - practical experience integrating and optimizing Claude models in production
OpenAI (GPT) - practical experience integrating and optimizing GPT models in production
Hugging Face - experience with the Transformers library, model hub, fine-tuning, and inference optimization
Operations & Governance
MLOps - proven ability to build and maintain end-to-end ML pipelines (training, evaluation, deployment, monitoring, retraining)
AgentOps - experience operationalizing autonomous AI agents with observability, logging, evaluation, and lifecycle management
Credo AI - knowledge of responsible-AI governance frameworks, bias auditing, and compliance tooling
Fiddler - experience with model performance monitoring, explainability dashboards, and data/model drift detection
AI-Powered Development Tools
GitHub Copilot - daily use to accelerate coding and code review
Devin / Windsurf - experience leveraging next-generation AI coding agents to boost engineering productivity
Communication
Excellent communication skills - ability to articulate complex AI concepts, present technical designs, write clear documentation, and collaborate effectively across disciplines
Qualifications
12+ years of professional software engineering experience
5+ years in AI-focused engineering roles, building and shipping AI/ML-powered products
Demonstrated track record of hands-on, end-to-end delivery - you have personally designed, coded, tested, and deployed AI systems in production
Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or a related field (or equivalent practical experience)
Why This Role Stands Out
This is a high-impact, hands-on engineering role for someone who thrives on building. You will work with the latest AI models, frameworks, and tools - and you will be expected to ship working software, not just advise on it. If you love writing code, solving hard problems, and pushing the boundaries of what AI can do in production, this role is for you.
Thanks &

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