Acunor Infotech
Acunor Infotech

Applied AI Engineer

Remote • Posted 2 hours ago • Updated 1 hour ago
Contract Corp To Corp
Contract Independent
Remote
$DOE
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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 2 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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