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Applied AI Engineer

Acunor Infotech

Remote or New Jersey • Today

Easy Apply

Contract, Third Party

$DOE

AI Engineer

Holtec International

Camden, New Jersey • Today

Full-time

USD 120,000.00 per year

Automation & AI Engineer

Arctiq, Inc.

Philadelphia, Pennsylvania • Today

Full-time

Senior Applied AI Engineer

Comcast Corp

Philadelphia, Pennsylvania • 8d ago

Full-time

Applied AI Engineer

GSK

Pennsylvania • Today

Full-time

USD 136,125.00 - 226,875.00 per year

Senior AI Engineer- Fulltime Role

E-Solutions, Inc.

Remote • 15d ago

Easy Apply

Contract, Third Party

Depends on Experience

Agentic AI Engineer (Agent SDK & Developer Enablement)

TekShapers

Hybrid in Oaks, Pennsylvania • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Agentic AI Engineer (Agent SDK & Developer Enablement)

TekShapers

Hybrid in Oaks, Pennsylvania • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Agentic AI Engineer

K-Tek Resourcing LLC

Wilmington, Delaware • 6d ago

Easy Apply

Contract

65 - 70

Senior AI Engineer

INSPYR Solutions

Remote • 11d ago

Easy Apply

Third Party, Contract

$80 - $90

Sr. Agentic AI Engineer (Agent SDK & Developer Enablement)

Coforge

Hybrid in Phoenixville, Pennsylvania • 11d ago

Easy Apply

Full-time

Depends on Experience

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

Next Step Systems

Remote • Yesterday

Easy Apply

Full-time

$140,000 - $200,000

Forward Deployed AI Engineer Lead

New York Technology Partners

Remote • 11d ago

Easy Apply

Full-time

Depends on Experience

Principal Software Engineer/Principal AI Engineer

Reed Elsevier Technology Services

Philadelphia, Pennsylvania • Today

Full-time

USD 115,400.00 - 192,300.00 per year

Principal Software Engineer/Principal AI Engineer

Elsevier

Philadelphia, Pennsylvania • Today

Full-time

USD 115,400.00 - 192,300.00 per year

AI Engineer

System One

Remote • 14d ago

Easy Apply

Contract

$52.85

Freelance AI Engineer

Mitchell Martin, Inc.

Remote • 18d ago

Easy Apply

Third Party, Contract

$70 - $85

AI Engineer

Factspan Inc

Remote • 5d ago

Easy Apply

Full-time

Depends on Experience

AI Engineer

Kforce Technology Staffing

Remote or Jacksonville, Florida • Today

Full-time

$132,600 - $179,400 annually

AI Engineer

OneMagnify

Remote • Today

Full-time

AI Engineer (Voice & Language Translation)

The Intersect Group

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

AI Engineer

ANALYTICA

Remote or Washington, District of Columbia • Today

Full-time

AI Platform Engineer

Core States Group

Philadelphia, Pennsylvania • Today

Full-time

USD 140,000.00 - 165,000.00 per year

AI Engineer

New Digital IT Inc.

Remote • 24d ago

Easy Apply

Contract

Depends on Experience

AI Engineer

Vertex Solutions Inc.

Remote • 14d ago

Easy Apply

Contract

55 - 60

AI Engineer

Navigant Consulting

Remote • Today

Full-time

USD 130,000.00 - 216,000.00 per year

Sr AI Engineer with Python Development

Lorvin Technologies

Remote • Today

Easy Apply

Contract

60 - 65

AI Platform Engineer

United States Cold Storage

Camden, New Jersey • Today

Full-time

USD 140,000.00 - 150,000.00 per year

AI Engineer

Vation Ventures

Remote or Hybrid in Denver, Colorado • 4d ago

Easy Apply

Full-time

Depends on Experience

Senior AI Engineer (TypeScript / Node.js / Python)- 100% Remote

The Dignify Solutions, LLC

Remote • 5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Acunor Infotech

Job Details

Skills

AWS
Python
LLM
OpenAI
AI Engineer

Summary

Applied AI Engineer

Location: Remote United States, Canada
Work Hours: Must work Pacific Time (PST/PDT) business hours
Employment Type: Long-Term Contract

About the Role

We are seeking a hands-on Applied AI Engineer to design, build, evaluate, and productionize LLM-powered agents and AI workflows.

This is a production engineering role rather than a research-only or proof-of-concept position. You will turn business use cases into reliable AI systems using an AWS-native platform with Amazon Bedrock as the foundation-model layer.

Engineers will work within standardized platform templates, CI/CD pipelines, guardrails, and evaluation frameworks while building AI applications that are reliable, observable, measurable, and ready for production.

Key Responsibilities

Design, build, and deploy LLM-powered agents, workflows, and applications using Amazon Bedrock.
Work with Bedrock capabilities including Bedrock Agents, Knowledge Bases, Guardrails, and multiple foundation models.
Build agentic workflows incorporating RAG, tool/function calling, APIs, and enterprise data sources.
Develop using standardized AI platform templates, CI/CD pipelines, guardrails, and evaluation harnesses.
Build and maintain LLM evaluation suites as an integral part of the engineering lifecycle.
Work with golden datasets, regression testing, and LLM-as-a-judge evaluation approaches.
Implement prompt and context engineering strategies for reliable production behavior.
Develop structured outputs, retries, fallbacks, and graceful degradation mechanisms.
Integrate AI agents with enterprise applications and data through APIs and AWS services such as Lambda, Step Functions, SQS/SNS, and API Gateway.
Instrument AI applications for quality, latency, token consumption, cost, and operational telemetry.
Use services such as CloudWatch and Bedrock invocation metrics to monitor production systems.
Collaborate directly with business users to rapidly iterate, demonstrate solutions, gather feedback, and deliver production functionality.

Required Qualifications

8+ years of software engineering experience.
At least 2.5+ years of experience building production LLM applications, including agents, RAG pipelines, and tool/function calling.
Strong programming skills in Python and/or TypeScript.
Strong API engineering experience, including API design, versioning, authentication, and error handling.
Strong practical experience with prompt engineering and context engineering.
Hands-on experience developing LLM evaluation approaches including golden datasets, LLM-as-a-judge, and regression suites.
Hands-on AWS experience.
Production experience with Amazon Bedrock strongly preferred.
Candidates with strong production experience using OpenAI/Anthropic APIs combined with AWS may also be considered if they can ramp quickly on Bedrock.
Experience building reliable, production-grade AI systems rather than only prototypes or research projects.
Ability to work full Pacific Time (PST/PDT) business hours.

Strong information-retrieval/RAG experience, including chunking strategies, embeddings, hybrid search, and re-ranking.
Experience with OpenSearch, pgvector, or Amazon Bedrock Knowledge Bases.
Healthcare data experience involving PHI, PII, or HIPAA-aware engineering.
LLM cost optimization experience, including model routing, prompt caching, batch inference, and throughput optimization.
Infrastructure-as-Code experience using Terraform or AWS CDK.
Container experience with ECS/EKS.

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: 91026517
Position Id: 2026-1946
Posted 6 days ago

Company Info

About Acunor Infotech

Acunor stands for Accurate North. Similar to North Star, we strive to provide accurate guidance and help our clients in every step of their journey towards a sustainable digital organization. Here at Acunor, we’ve been on a journey to upskill IT practitioners and we are ready to help IT organisations and individuals accelerate their upskilling journey and create the workforce of tomorrow, today.

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AI Evaluation Engineer Location: USA Remote Employment Type: Contract Position Summary We are seeking an AI Evaluation Engineer to establish and maintain the quality standards used to determine whether production AI and LLM systems are ready to launch. This role will build centralized evaluation frameworks, create golden datasets, establish measurable quality thresholds, audit AI evaluation results, and implement continuous production monitoring. The successful candidate will bring strong techn

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Easy Apply

Full-time

$$160000 - 200000 per year

Acunor Infotech

Job Details

Skills

AWS
Python
LLM
OpenAI
AI Engineer

Summary

Applied AI Engineer

Location: Remote United States, Canada
Work Hours: Must work Pacific Time (PST/PDT) business hours
Employment Type: Long-Term Contract

About the Role

We are seeking a hands-on Applied AI Engineer to design, build, evaluate, and productionize LLM-powered agents and AI workflows.

Key Responsibilities

Design, build, and deploy LLM-powered agents, workflows, and applications using Amazon Bedrock.
Work with Bedrock capabilities including Bedrock Agents, Knowledge Bases, Guardrails, and multiple foundation models.
Build agentic workflows incorporating RAG, tool/function calling, APIs, and enterprise data sources.
Develop using standardized AI platform templates, CI/CD pipelines, guardrails, and evaluation harnesses.
Build and maintain LLM evaluation suites as an integral part of the engineering lifecycle.
Work with golden datasets, regression testing, and LLM-as-a-judge evaluation approaches.
Implement prompt and context engineering strategies for reliable production behavior.
Develop structured outputs, retries, fallbacks, and graceful degradation mechanisms.
Integrate AI agents with enterprise applications and data through APIs and AWS services such as Lambda, Step Functions, SQS/SNS, and API Gateway.
Instrument AI applications for quality, latency, token consumption, cost, and operational telemetry.
Use services such as CloudWatch and Bedrock invocation metrics to monitor production systems.
Collaborate directly with business users to rapidly iterate, demonstrate solutions, gather feedback, and deliver production functionality.

Required Qualifications

8+ years of software engineering experience.
At least 2.5+ years of experience building production LLM applications, including agents, RAG pipelines, and tool/function calling.
Strong programming skills in Python and/or TypeScript.
Strong API engineering experience, including API design, versioning, authentication, and error handling.
Strong practical experience with prompt engineering and context engineering.
Hands-on experience developing LLM evaluation approaches including golden datasets, LLM-as-a-judge, and regression suites.
Hands-on AWS experience.
Production experience with Amazon Bedrock strongly preferred.
Candidates with strong production experience using OpenAI/Anthropic APIs combined with AWS may also be considered if they can ramp quickly on Bedrock.
Experience building reliable, production-grade AI systems rather than only prototypes or research projects.
Ability to work full Pacific Time (PST/PDT) business hours.

Strong information-retrieval/RAG experience, including chunking strategies, embeddings, hybrid search, and re-ranking.
Experience with OpenSearch, pgvector, or Amazon Bedrock Knowledge Bases.
Healthcare data experience involving PHI, PII, or HIPAA-aware engineering.
LLM cost optimization experience, including model routing, prompt caching, batch inference, and throughput optimization.
Infrastructure-as-Code experience using Terraform or AWS CDK.
Container experience with ECS/EKS.

Dice Id: 91026517
Position Id: 2026-1946
Posted 6 days ago

Company Info

About Acunor Infotech

Go to company profile

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

AI Engineering Manager

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