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Backend AI Developer

Advanced Tech Placement

Hybrid in Johns Creek, Georgia • 2d ago

Easy Apply

Contract

Depends on Experience

AI Backend Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • 2d ago

Easy Apply

Full-time

$140,000 - $200,000

Agentforce AI & Cloud Backend Engineering - Atlanta, GA

Digital Technology Solutions

Hybrid in Atlanta, Georgia • Yesterday

Easy Apply

Contract

Depends on Experience

Java Backend Developer with SQL and Strong AI

NetStrive Consulting

Remote • 4d ago

Easy Apply

Contract

Depends on Experience

AI ML Solution Architect & Developer Manager

Protiviti

Atlanta, Georgia • Today

Full-time

USD 136,000.00 - 217,000.00 per year

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • 11d ago

Easy Apply

Full-time

Depends on Experience

AI Backend Engineer, Work From Home

Parallel Partners

Remote or San Francisco, California • Today

Full-time

Senior Lead AI Developer

Talent Glide

Remote • 11d ago

Easy Apply

Full-time

60 - 70

Backend Developer

ARETUM

Remote or McLean, Virginia • Today

Full-time

USD 120,000.00 - 145,000.00 per year

Staff Software Engineer - AI Backend & Agent Frameworks

GE Vernova

Remote or Bellevue, Washington • Today

Full-time

USD 126,500.00 - 210,900.00 per year

Senior Full Stack AI Developer

CACI International, Inc.

Remote • Today

Full-time

USD 105,100.00 - 231,100.00 per year

Senior AI Developer

Mindlance

Remote • 15d ago

Easy Apply

Contract

100 - 110

Principal AI Software Developer

Pyramid Systems, Inc.

Remote • 11d ago

Easy Apply

Full-time

166,000 - 210,000

AI Agent Developer

ComTec Information Systems

Remote • 3d ago

Easy Apply

Full-time

$140,000 - $160,000

AI Software Developer

Leidos

Remote • Today

Full-time

USD 69,550.00 - 125,725.00 per year

Senior AI Software Developer

Leidos

Remote • Today

Full-time

USD 107,900.00 - 195,050.00 per year

Senior Back End Software Developer (AI, Java, Vert.x, AWS) - Remote US

Revvity

Remote or Waltham, Massachusetts • Today

Full-time

USD 130,000.00 - 158,000.00 per year

Looking for AI Engineers_Need Independent candidates only

Vrddhi Solutions LLC

Remote • 16d ago

Easy Apply

Contract

Depends on Experience

AI Software Engineer

Nexorant LLC

Remote • 3d ago

Easy Apply

Full-time

95000 - 120000

Senior Machine Learning Engineer

Odyssey Systems Consulting Group, Ltd.

Remote • Today

Full-time

USD 165,000.00 - 195,000.00 per year

Senior AI Engineer

The Chemours Company

Remote • Today

Full-time

USD 126,067.00 - 196,980.00 per year

Data Scientist

Keypixel Software Solutions

Hybrid in Johns Creek, Georgia • 9d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI / ML Engineer

NTT DATA Americas, Inc

Hybrid in Sandy Springs, Georgia • 11d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Lead, Full-stack Forward Deployed Engineer

Kyndryl

Remote or Dallas, Texas • Today

Full-time

USD 115,080.00 - 218,520.00 per year

Sr. Data Scientist Generative AI

Virtual Networx

Atlanta, Georgia • Today

Easy Apply

Third Party, Contract

$DOE

Business Consultant - AI/ML Engineer

NTT DATA Americas, Inc

Hybrid in Sandy Springs, Georgia • 18d ago

Easy Apply

Third Party, Contract

$60 - $70

CT_NITRO Experimental AI Engineer

Alpharetta, Georgia • Today

Full-time

USD 92,600.00 - 173,100.00 per year

Business Consultant - AI/ML Engineer

NTT DATA Americas, Inc

Hybrid in Sandy Springs, Georgia • 18d ago

Easy Apply

Contract, Third Party

$60 - $70

Business Consultant - AI/ML Engineer

NTT DATA, Inc.

Atlanta, Georgia • Today

Full-time

USD 91,000.00 - 115,000.00 per year

AI / ML Engineer

NTT DATA, Inc.

Atlanta, Georgia • Today

Full-time

USD 60.00 - 70.00 per hour

Job Details

Skills

JAVA
AI AGENTS
SPRING AI
LANGCHAIN
LANGFUSE
ARIZE
WEIGHTS
BIASES
DATADOG

Summary

We are looking for a Backend AI Developer:

This role involves building an AI-powered tool designed for enterprise clients. It sits at the intersection of strong backend Java engineering and applied AI, focusing on designing and developing intelligent agents using Java and Spring-based technologies.

Responsibilities:

Design, build, and deploy AI agents and agentic workflows using Java and Spring Boot.
Develop production-quality APIs and backend services using Java 21 and Spring Boot 3.x.
Implement agent capabilities including tool/function calling, memory and context management, planning, orchestration, retries, guardrails, validation, and multi-step workflows.
Use Spring AI or LangChain4j to integrate LLMs and orchestrate agent workflows within Spring applications.
Design effective LLM prompts using templates, roles, constraints, and structured outputs.
Build and maintain LLM evaluations to measure agent quality, reliability, and performance.
Implement LLM observability and monitoring, including tracing, latency, token usage, cost, and failure analysis.
Apply RAG techniques, including chunking, embeddings, vector databases, and retrieval optimization.
Use AI coding tools such as GitHub Copilot or Amazon Q as part of the daily software development workflow.
Collaborate with engineers and stakeholders to prototype, test, and continuously improve AI capabilities.
Write clean, maintainable, well-tested Java code while incorporating AI capabilities into production applications.

Requirements:

Strong professional experience with Java, including modern Java versions such as Java 21.
Strong experience with Spring Boot 3.x, including Spring Web, Spring Data, and Spring Security.
Proven ability to build and support production APIs and backend services.
Strong understanding of software engineering fundamentals, testing, debugging, and API design.

Required Skills:

Hands-on experience building AI agents or agentic applications.
Experience with Spring AI, LangChain4j, or a comparable agent/LLM orchestration framework.
Understanding of agent architecture, including tool calling, memory, planning, orchestration, retries, and guardrails.
Hands-on experience with LLM prompt design and prompt engineering.
Experience designing or developing LLM evaluations.
Understanding of RAG fundamentals, including embeddings, chunking, vector databases, and retrieval tuning.
Experience with at least one LLM observability/monitoring platform, such as Langfuse, Arize, Weights & Biases, or Datadog.
Daily hands-on experience using AI coding assistants, such as GitHub Copilot or Amazon Q.
Comfortable incorporating AI into development, testing, debugging, refactoring, and code-generation workflows.

Preferred Skills:

Experience optimizing LLM applications for performance and cost, including caching, batching, model routing, and prompt/token optimization.
Experience evaluating and selecting AI models based on quality, latency, cost, and risk.
Experience deploying AI services to AWS, Azure, or Google Cloud Platform.
Experience with CLI-based coding assistants such as GitHub Copilot CLI or Claude Code.
Experience with spec-to-code development, AI-generated testing, or automated refactoring.
Experience with MCP (Model Context Protocol) or OpenAPI-based tool schemas.
Experience integrating AI agents with enterprise APIs, databases, and external tools.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91132164
Position Id: 26-00290
Posted 2 days ago

Fitment

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Lead Full-Stack - AI Engineer (Relocation to Qatar)

No location provided

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We are looking for a Lead Full-Stack Engineer to join our team with eventual relocation to Qatar. EPAM is renowned for delivering cutting-edge technological solutions to transform businesses worldwide. This is an onsite position in Qatar, requiring 3 days per week to be worked in the client's office, and the rest to be worked anywhere in Qatar. Responsibilities Contribute to pragmatic AI architectures (RAG/agents/copilots/automation) integrated into cloud-native microservices (including Kafka) a

Full-time

Job Details

Skills

JAVA
AI AGENTS
SPRING AI
LANGCHAIN
LANGFUSE
ARIZE
WEIGHTS
BIASES
DATADOG

Summary

We are looking for a Backend AI Developer:

Responsibilities:

Design, build, and deploy AI agents and agentic workflows using Java and Spring Boot.
Develop production-quality APIs and backend services using Java 21 and Spring Boot 3.x.
Implement agent capabilities including tool/function calling, memory and context management, planning, orchestration, retries, guardrails, validation, and multi-step workflows.
Use Spring AI or LangChain4j to integrate LLMs and orchestrate agent workflows within Spring applications.
Design effective LLM prompts using templates, roles, constraints, and structured outputs.
Build and maintain LLM evaluations to measure agent quality, reliability, and performance.
Implement LLM observability and monitoring, including tracing, latency, token usage, cost, and failure analysis.
Apply RAG techniques, including chunking, embeddings, vector databases, and retrieval optimization.
Use AI coding tools such as GitHub Copilot or Amazon Q as part of the daily software development workflow.
Collaborate with engineers and stakeholders to prototype, test, and continuously improve AI capabilities.
Write clean, maintainable, well-tested Java code while incorporating AI capabilities into production applications.

Requirements:

Strong professional experience with Java, including modern Java versions such as Java 21.
Strong experience with Spring Boot 3.x, including Spring Web, Spring Data, and Spring Security.
Proven ability to build and support production APIs and backend services.
Strong understanding of software engineering fundamentals, testing, debugging, and API design.

Required Skills:

Hands-on experience building AI agents or agentic applications.
Experience with Spring AI, LangChain4j, or a comparable agent/LLM orchestration framework.
Understanding of agent architecture, including tool calling, memory, planning, orchestration, retries, and guardrails.
Hands-on experience with LLM prompt design and prompt engineering.
Experience designing or developing LLM evaluations.
Understanding of RAG fundamentals, including embeddings, chunking, vector databases, and retrieval tuning.
Experience with at least one LLM observability/monitoring platform, such as Langfuse, Arize, Weights & Biases, or Datadog.
Daily hands-on experience using AI coding assistants, such as GitHub Copilot or Amazon Q.
Comfortable incorporating AI into development, testing, debugging, refactoring, and code-generation workflows.

Preferred Skills:

Experience optimizing LLM applications for performance and cost, including caching, batching, model routing, and prompt/token optimization.
Experience evaluating and selecting AI models based on quality, latency, cost, and risk.
Experience deploying AI services to AWS, Azure, or Google Cloud Platform.
Experience with CLI-based coding assistants such as GitHub Copilot CLI or Claude Code.
Experience with spec-to-code development, AI-generated testing, or automated refactoring.
Experience with MCP (Model Context Protocol) or OpenAPI-based tool schemas.
Experience integrating AI agents with enterprise APIs, databases, and external tools.

Dice Id: 91132164
Position Id: 26-00290
Posted 2 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Java Developer - III

Alpharetta, Georgia

•

Today

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Agentic AI Lead/ Architect (Python)

Alpharetta, Georgia

•

Yesterday

Easy Apply

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Senior AI LangGraph Engineer

Remote

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Yesterday

Easy Apply

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Lead Full-Stack - AI Engineer (Relocation to Qatar)

No location provided

•

Today

Full-time