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Assistant Retrieval Augmented Generation Jobs in Georgia

Optimal Inc.

Agentic AI Engineer

Embry Hills, GA · On-site

Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques * Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience ...

FAVARH

AI Principal Engineer

Atlanta, GA · On-site +1

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

Georgia Transmission

Data Scientist (AI/ML)

Tucker, GA · On-site

... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...

Conch Technologies

AI Program Manager

Oakwood, GA · On-site

Support implementation of Retrieval-Augmented Generation (RAG), enterprise knowledge management, and AI-powered search solutions. * Monitor program KPIs, adoption metrics, value realization, and ROI.

Purple Drive

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...

New

Lancesoft

Machine Learning Engineer 3 - MLENG3

Atlanta, GA · On-site

$65 - $69.42/hr

This role will focus on building scalable, production-grade AI solutions-starting with projects involving Retrieval Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...

Deloitte

Oracle Gen AI Manager

Atlanta, GA

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Lorven Technologies

AI Solution Development

Atlanta, GA · On-site

Retrieval-Augmented Generation (RAG): Implementing vector databases (e.g., Pinecone, FAISS) to allow models to access and reason. * Prompt Engineering: Refining and optimizing high-quality prompts to ...

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Assistant Retrieval Augmented Generation information

What is the difference between Assistant Retrieval Augmented Generation vs Data Analyst?

AspectAssistant Retrieval Augmented GenerationData Analyst
Required CredentialsKnowledge of AI, NLP, and retrieval systemsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, natural language processingData analysis, reporting, decision support

Assistant Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, often requiring expertise in AI and NLP. Data Analysts interpret data to generate insights, primarily using statistical tools. While both roles involve working with data, Assistant Retrieval Augmented Generation is centered on AI model development, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Georgia? The most popular types of Retrieval Augmented Generation jobs in Georgia are:
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What job categories do people searching Assistant Retrieval Augmented Generation jobs in Georgia look for? The top searched job categories for Assistant Retrieval Augmented Generation jobs in Georgia are:
What cities in Georgia are hiring for Assistant Retrieval Augmented Generation jobs? Cities in Georgia with the most Assistant Retrieval Augmented Generation job openings:
Assistant Retrieval Augmented Generation jobs near you
Infographic showing various Assistant Retrieval Augmented Generation job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Product Owner AI, API Platform

KR Elixir, Inc.

Alpharetta, GA • On-site

Other

Posted 11 days ago

Job description

Product Owner – AI, API Platform

Long Term

Alpharetta, GA

About Us:

We are building a next-generation AI-native platform that unifies API Lifecycle Management, Agentic AI, AI Gateways, Model Context Protocol (MCP), AI Agents, and Enterprise Integration into a single developer experience. Our mission is to help enterprises design, build, secure, test, govern, and deploy APIs and AI agents faster and more intelligently.

As an early-stage startup, we move quickly, value ownership, and encourage innovation. If you''''re excited about shaping products from the ground up and working directly with customers, we''''d love to hear from you.

________________________________________

Role Overview

We are looking for a highly motivated Product Owner – AI & API Platform to define product strategy, own the roadmap, and work closely with engineering, design, customers, and leadership to deliver world-class AI and API products. You will own the product lifecycle from idea to launch, transforming customer problems into scalable, high-impact solutions. The ideal candidate combines technical knowledge of APIs and AI with strong product management and communication skills.

________________________________________

Key Responsibilities

Product Strategy & Vision

•            Define and execute the product vision, roadmap, and strategy for AI and API platform capabilities.

•            Identify market opportunities through customer research, competitive analysis, and industry trends.

•            Prioritize initiatives that maximize customer value and business impact.

•            Translate business goals into clear product outcomes and measurable success metrics.

Product Ownership

•            Own the product backlog and prioritize features based on customer needs and business objectives.

•            Write detailed user stories, acceptance criteria, and product requirements.

•            Lead sprint planning, backlog grooming, and release planning with engineering teams.

•            Ensure timely delivery of high-quality product releases.

AI Product Management

•            Drive features related to Generative AI, Agentic AI, AI Gateways, AI Agents, MCP, and Retrieval-Augmented Generation (RAG).

•            Collaborate with AI engineers to define prompt management, model selection, evaluation, guardrails, and observability.

•            Help shape AI capabilities such as copilots, intelligent automation, and enterprise AI assistants.

API Platform

•            Define requirements for API Design, API Governance, API Testing, API Security, API CatLog, API Gateway, and API Lifecycle Management.

•            Drive API-first product strategy and developer experience improvements.

•            Understand REST, GraphQL, gRPC, OpenAPI, AsyncAPI, and API Management best practices.

Customer Engagement

•            Meet with enterprise customers to understand challenges and validate product direction.

•            Gather feedback, analyse usage metrics, and translate insights into product improvements.

•            Partner with sales and customer success teams to support product demonstrations and customer onboarding.

Cross-Functional Leadership

•            Work closely with Engineering, UX, QA, Marketing, Sales, and Executive Leadership.

•            Remove blockers, resolve priorities, and align teams around shared goals.

•            Communicate product updates, roadmap progress, and release plans to stakeholders.

Startup Ownership

•            Thrive in a fast-paced startup environment where priorities evolve quickly.

•            Take ownership beyond the job description and contribute across product, customer success, and go-to-market initiatives.

•            Balance speed of execution with product quality and scalability.

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Required Qualifications

•            Bachelor’s degree in computer science, Engineering, Business, or a related field.

•            5–10+ years of Product Owner or Product Manager experience in SaaS, API platforms, AI, or enterprise software.

•            Strong understanding of Agile, Scrum, and modern product development practices.

•            Experience managing technical products with engineering teams.

•            Excellent communication, stakeholder management, and decision-making skills.

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Technical Knowledge

AI & Generative AI: Large Language Models (LLMs), Generative AI, Agentic AI, AI Agents, Prompt Engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), AI Gateways, AI Guardrails, AI Evaluation & Observability.

API Technologies: REST APIs, GraphQL, gRPC, OpenAPI Specification, AsyncAPI, API Lifecycle Management, API Governance, API Security, OAuth 2.0 / OpenID Connect, API Gateways (Apigee, Kong, AWS API Gateway, Azure API Management).

Cloud & Platforms: Google Cloud Platform, Microsoft Azure, Amazon Web Services, Kubernetes, Docker, CI/CD, GitHub

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Preferred Qualifications

•            Experience with AI platforms such as Vertex AI, Azure AI Foundry, Amazon Bedrock, or OpenAI APIs.

•            Knowledge of LangChain, LangGraph, CrewAI, Semantic Kernel, or Google ADK.

•            Experience with vector databases and enterprise search.

•            Familiarity with developer platforms, DevOps, and API ecosystems.

•            Startup or founder experience is highly valued.

Apply