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AI Agent Engineer / AWS Bedrock & SDLC Automation at Seattle, WA

Seattle, WA, US • Posted 1 day ago • Updated 2 hours ago

Contract Independent

Contract W2

On-site

$80 - $83/hr

Fitment

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Job Details

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AI Agent Engineer AWS Bedrock & SDLC Automation
Design and build AI agents using AWS Bedrock including multi-agent orchestration patterns and tool integrations.
Identify high-impact SDLC bottlenecks and deploy agents to automate planning - coding - testing - review and deployment workflows.
Hands-on experience with AWS Bedrock (Agents - Knowledge Bases - Guardrails) or equivalent LLM orchestration frameworks.
Solid understanding of SDLC practices - CI/CD - code review workflows - testing strategies and DevOps tooling
10+ years of software engineering experience
Python and / or TypeScript.

Summary

Job Title: AI Agent Engineer / AWS Bedrock & SDLC Automation

Location: Seattle, WA (100% Onsite)

Duration: 6-12 Months

Rate: $80-$83/hr

Client wants the consultant to work 100% onsite from Seattle, WA office from Day 1

Key Responsibilities

Design and build AI agents using AWS Bedrock, including multi-agent orchestration patterns and tool integrations.
Identify high-impact SDLC bottlenecks and deploy agents to automate planning, coding, testing, review, and deployment workflows.
Define and mature an Agent Development Lifecycle (ADLC): prompt engineering, evaluation, versioning, and monitoring standards.
Integrate agents with developer tooling (CI/CD, ticketing, code repositories, observability platforms).
Collaborate with engineering and product teams to gather requirements and iterate on agent capabilities.
Establish guardrails, safety checks, and cost controls for production agent deployments.
Document architectures, agent behaviors, and operational runbooks; contribute to internal AI best practices.

Required Qualifications

10+ years of software engineering experience; proficiency in Python and/or TypeScript.
Hands-on experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails) or equivalent LLM orchestration frameworks.
Solid understanding of SDLC practices: CI/CD, code review workflows, testing strategies, and DevOps tooling.
Experience with prompt engineering, RAG architectures, and LLM evaluation methodologies.
Familiarity with AWS services: Lambda, Step Functions, S3, CloudWatch, IAM.
Experience with multi-agent frameworks (LangGraph, AutoGen, CrewAI) or AWS Bedrock multi-agent orchestration.

Nice to Have

Background in platform or developer experience engineering.
Contributions to internal AI tooling, developer productivity, or MLOps pipelines.

Thank You,

Augustin Ahmed

Sr Resource Manager

Parmesoft Inc,

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: 90929690
Position Id: AG_AI_AWS_BEDR
Posted 1 day ago

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