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Applied AI Engineer

Acunor Infotech

Remote or New Jersey • Today

Easy Apply

Third Party, Contract

$DOE

Applied AI Engineer

Software Guidance & Assistance

New York, New York • Today

Contract

USD 73.00 - 75.00 per hour

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 - Enterprise Solutions

Snorkel AI

Remote or New York, New York • Today

Full-time

USD 172,000.00 - 300,000.00 per year

Applied AI Engineer, Ops

Alloy

New York, New York • Today

Full-time

USD 150,000.00 - 180,000.00 per year

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

Applied AI Engineer, Fullstack

Ramp

New York, New York • Today

Full-time

USD 204,400.00 - 352,000.00 per year

Sr. Applied AI Engineer

Taktile

New York, New York • 13d ago

Full-time

Senior Applied AI Engineer - Technology Consultant

Celonis

New York, New York • Today

Full-time

USD 140,000.00 - 160,000.00 per year

Senior AI Engineer, Applied AI Solutions

Horizon Media, Inc.

New York, New York • Today

Full-time

USD 195,000.00 - 225,000.00 per year

Lead AI Applied Engineer

Humana Inc

New York, New York • Today

Full-time

USD 170,800.00 - 234,800.00 per year

Principal AI Applied Engineer

Humana Inc

New York, New York • Today

Full-time

USD 206,600.00 - 284,300.00 per year

Senior AI Applied Engineer

Humana Inc

New York, New York • Today

Full-time

USD 141,100.00 - 194,000.00 per year

Applied AI Engineer, Work From Home

Parallel Partners

Remote or San Francisco, California • Today

Full-time

Senior Applied AI Full-Stack Engineer

Citi

Jersey City, New Jersey • Today

Full-time

Compensation information provided in the description

Senior Applied AI Full-Stack Engineer

Citi

Jersey City, New Jersey • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Senior Applied AI Engineer

CINC Systems

Remote • Today

Full-time

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

Staff Applied AI Engineer, Product & Agent Performance

Arcadia

Remote • Today

Full-time

USD 175,000.00 - 200,000.00 per year

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

Applied AI Data Scientist

LexisNexis

New York, New York • Today

Full-time

Applied AI Data Scientist

Reed Elsevier Technology Services

New York, New York • Today

Full-time

SR Principal Software Engineer - Applied AI Engineering

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 232,750.00 - 325,000.00 per year

Lead Software Engineer - Data Engineer and Applied AI

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Lead Software Engineer - Data Engineer and Applied AI

JPMorgan Chase & Co.

Hoboken, New Jersey • Yesterday

Full-time

Solutions Engineer - Partnerships, Ads (Applied AI Focus)

TikTok

New York, New York • Today

Full-time

USD 162,000.00 - 316,800.00 per year

Director Engineering - Applied AI

Apex Systems

New York, New York • Today

Easy Apply

Full-time

$200,000 - $300,000

Applied AI/ML Lead

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 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.

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 9 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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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

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$$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 9 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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