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180 results (11 new)

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Applied AI Engineer

Acunor Infotech

Remote or New Jersey • Today

Easy Apply

Third Party, Contract

$DOE

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

Next Step Systems

Remote • Today

Easy Apply

Full-time

$120,000 - $200,000

Applied AI Engineer

Showman Staffing

Remote • 9d ago

Easy Apply

Full-time

80,000 - 110,000

Applied AI Engineer

Hilti, Inc

Plano, Texas • Today

Full-time

Applied AI Engineer - Enterprise Solutions

Snorkel AI

Remote or New York, New York • Today

Full-time

USD 172,000.00 - 300,000.00 per year

Senior Applied AI Engineer

Omada Health

Remote • Today

Full-time

USD 200,560.00 - 250,700.00 per year

Principal Applied AI Engineer, Finance

Genesys

Remote or Massachusetts • Today

Full-time

USD 193,600.00 - 340,600.00 per year

Lead Applied AI & Machine Learning Engineer

JPMorgan Chase & Co.

Plano, Texas • 9d ago

Full-time

Lead Applied AI & Machine Learning Engineer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Senior Applied AI Engineer

CINC Systems

Remote • Today

Full-time

Applied AI Engineer, Work From Home

Parallel Partners

Remote or San Francisco, California • Today

Full-time

Applied AI Engineer, Federal - Top Secret Clearance

Snorkel AI

Remote or New York, New York • Today

Full-time

USD 170,000.00 - 300,000.00 per year

Staff Applied AI Engineer, Product & Agent Performance

Arcadia

Remote • Today

Full-time

USD 175,000.00 - 200,000.00 per year

Lead Software Engineer - Data Engineering & Applied AI

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Applied AI Specialist - Cloud Full Stack

Computer Task Group, Inc

Dallas, Texas • Today

Full-time

Senior Engineer, Applied AI

Collectors Universe, Inc.

Remote or New Jersey • Today

Full-time

USD 140,971.00 - 228,870.00 per year

AI Engineer (Applied)

Tandavix llc

Remote • Today

Easy Apply

Contract

60 - 70

AI Engineer (Applied)

Momento USA LLC

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Staff Engineer, Applied AI

Collectors Universe, Inc.

Remote or Jersey City, New Jersey • Today

Full-time

USD 165,848.00 - 269,259.00 per year

Forward Deployed Solution Engineer - Applied AI FDE

ServiceNow, Inc.

Remote or Santa Clara, California • Today

Full-time

USD 201,300.00 - 352,300.00 per year

Senior Machine Learning Engineer, Applied AI Modeling

Mozilla

Remote • Today

Full-time

USD 163,000.00 - 218,000.00 per year

Staff Software Engineer, Applied AI

Parachute Health

Remote • Today

Full-time

USD 200,000.00 - 260,000.00 per year

Software Engineer (Applied AI/ML)

Oklo

Remote or Santa Clara, California • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 130,000.00 - 162,500.00 per year

AI Engineer

Apex Systems

Dallas, Texas • Today

Easy Apply

Full-time

$77 - $84 per hour

Lead Software Engineer - Ai Engineer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

AI/ML Engineer

Aivra Health LLC

Dallas, Texas • 12d ago

Easy Apply

Full-time

150,000 - 200,000

AI Engineer Tech Lead

NTT DATA, Inc.

Remote or Dallas, Texas • Today

Full-time

Computer Vision / AI Engineer II

Intone Networks Inc.

Coppell, Texas • Today

Easy Apply

Contract, Third Party

Depends on Experience

Software Engineer II - AI/ML Developer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

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 5 hours 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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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 5 hours 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.

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AI Engineering Manager

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