​Senior AI engineer

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 & Regards,

Chebolu Raviteja (Lead Recruiter)



View email address on us.fitly.work



Conch Technologies, Inc |