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1187 results (48 new)

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AI Engineer

Vation Ventures

Remote or Hybrid in Denver, Colorado • Today

Easy Apply

Full-time

Depends on Experience

Senior AI Engineer

Apex Systems

Broomfield, Colorado • Today

Easy Apply

Full-time

$105 - $110 per hour

AI Engineer

3Core Systems, Inc

Hybrid in Denver, Colorado • Today

Easy Apply

Contract, Third Party

Depends on Experience

AI Engineer

Arrow Electronics, Inc.

Denver, Colorado • Today

Full-time

USD 80,100.00 - 80,300.00 per year

Principal AI Engineer

Strive Health

Denver, Colorado • Today

Full-time

USD 130,000.00 - 196,000.00 per year

Senior AI Engineer - AAET

SM Energy

Denver, Colorado • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Senior Agentic AI Engineer

EchoStar Corporation

Englewood, Colorado • Today

Full-time

USD 116,875.00 - 158,125.00 per year

Applied AI Engineer

Acunor Infotech

Remote or New Jersey • Today

Easy Apply

Third Party, Contract

$DOE

Senior AI Engineer- Fulltime Role

E-Solutions, Inc.

Remote • 11d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI Fiber Cabling Engineer

Purview Services

Denver, Colorado • 2d ago

Easy Apply

Contract

Depends on Experience

Senior AI Engineer

INSPYR Solutions

Remote • 7d ago

Easy Apply

Third Party, Contract

$80 - $90

Agentic AI Engineer -W2/1099 Only

Valcan IT Inc

Remote • 8d ago

Easy Apply

Contract

Depends on Experience

Forward Deployed AI Engineer Lead

New York Technology Partners

Remote • 7d ago

Easy Apply

Full-time

Depends on Experience

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

Next Step Systems

Remote • Today

Easy Apply

Full-time

$120,000 - $200,000

AI Full Stack Engineer

TalentBridge

Hybrid in Greenwood Village, Colorado • 8d ago

Easy Apply

Contract

$60 - $70

Urgent role for Azure AI Engineer (End to End Engineering Lead :: Fremont, CA Onsite/Remote

Triunity Software

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI Engineer

System One

Remote • 10d ago

Easy Apply

Contract

$52.85

Freelance AI Engineer

Mitchell Martin, Inc.

Remote • 14d ago

Easy Apply

Contract, Third Party

$70 - $85

Artificial Intelligence Software Engineer

Booz Allen Hamilton

Hybrid in Aurora, Colorado • Today

Full-time

USD 69,400.00 - 158,000.00 per year

Senior AI Engineer (only W2)

NGTalentTech Group LLC

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Senior AI R&D Engineer - AAET

SM Energy

Denver, Colorado • Today

Full-time

USD 180,000.00 - 220,000.00 per year

AI Ops Engineer III

iSpace, Inc

Hybrid in Denver, Colorado • Today

Easy Apply

Contract

$80 - $85

AI Ops Engineer II

Sysazzle

Denver, Colorado • 11d ago

Easy Apply

Contract

Depends on Experience

AI Engineer

Kforce Technology Staffing

Remote or Jacksonville, Florida • Today

Full-time

$132,600 - $179,400 annually

Solutions Architect / AI Engineer - W2 (Part time - Job) - Public Trust Clearance

Cyma Systems Inc

Remote • 29d ago

Easy Apply

Contract

Depends on Experience

AI Engineer

OneMagnify

Remote • Today

Full-time

AI Engineer (Voice & Language Translation)

The Intersect Group

Remote • Today

Easy Apply

Contract

Depends on Experience

AI Engineer

Leidos

Remote • Today

Full-time

USD 69,550.00 - 125,725.00 per year

AI Engineer

ANALYTICA

Remote or Washington, District of Columbia • Today

Full-time

AI Engineer

Factspan Inc

Remote • Yesterday

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

API
Amazon S3
PostgreSQL
Web Applications
Artificial Intelligence
Amazon Lambda
Amazon Web Services
Python
React.js
TypeScript

Summary

About the role

We design and build production AI systems for enterprise clients. The work is applied rather than experimental: real data, real constraints, and a client team that will operate the system after we hand it over.

This role owns the services and data layers underneath those applications, along with the interface on top of them.

We're hiring for range. The engineer we're looking for has shipped an LLM-backed feature and supported it afterward, can model data in both Aurora Postgres and DynamoDB and explain why each one is there, writes their own Terraform, and can build a front end they'd be comfortable demoing to a client CTO. That's a broad profile, and we'd rather be clear about it now than halfway through an interview process.

What you'll work on

AI systems

Inference and orchestration services on Amazon Bedrock: prompt and context assembly, tool and function calling, agentic loops, streaming, retries, and fallbacks across models.
Retrieval, end-to-end. Embedding and ingestion pipelines, vector search in Aurora PostgreSQL with pgvector, hybrid vector and keyword strategies, chunking and re-ranking, and the query tuning that holds p95 steady as the corpus grows.
The parts that determine quality: document parsing, extraction accuracy, PII handling, data contracts, and integration with the source systems clients already run.
Instrumentation. Token and cost accounting, latency budgets, tracing through multi-step chains, and evaluation harnesses that show whether a change improved the system or only changed it.

Application and infrastructure

API design and implementation: Lambda and API Gateway or containers on ECS/Fargate, auth and tenancy boundaries, async and queue-based work, and IAM scoped to pass a client security review.
Data modeling driven by access patterns. Aurora Postgres for relational and vector workloads, DynamoDB where the access pattern calls for it. Schema design, migrations, indexing, and query plan analysis.
Integrations with systems we don't control: Salesforce, ERPs, HRIS platforms, data warehouses, file transfers, and legacy SOAP endpoints.
Infrastructure as code in Terraform: modules, environments, state, and CI-driven applies. Terraform owns the infrastructure, and Amplify is scoped to hosting, environments, and auth so the two don't overlap.
Operations. Logging, alerting, performance budgets, and test coverage sufficient to deploy on a Friday.

Frontend

Application interfaces in Next.js (App Router, TypeScript, server components and server actions) with production-grade forms, tables, state management, and error handling.
The interaction problems specific to AI surfaces: streaming and partial output, latency that has to feel intentional, citations, and clear signaling when the system has low confidence.
Hosting and operations on AWS Amplify: environments, auth flows, and preview deployments.
Implementation against a design system. You don't need to be a designer, but you should be able to tell when something looks unfinished.

What the role offers

Systems that go into production. Every engagement ends with a client team running what you built, not with a prototype that gets shelved.
Ownership across the stack. You'll be one of two or three engineers on a build, with real authority over architecture rather than a narrow slice of someone else's design.
Direct client access. You'll be in the room for architecture discussions and readouts instead of receiving requirements secondhand.
Range across problem domains. Engagements vary by industry and system, so the technical problems don't repeat.
Scoped work. Engagements are defined in a statement of work, with an end date and a defined deliverable.

Required skills

5+ years shipping and maintaining production web applications, with significant time on AWS.
At least one LLM-backed feature taken to production and supported afterward. You know where RAG breaks, why agents stall, which evaluations are worth building, and what you'd do differently.
Amazon Bedrock, or equivalent production experience with another hosted model platform and the judgment to transfer it.
Strong TypeScript, plus Python for data and AI work.
Next.js and React beyond marketing sites, with experience living alongside your own architecture decisions.
Relational depth on Aurora or PostgreSQL: schema design, migrations, indexing, reading a query plan, and diagnosing slow queries methodically.
DynamoDB experience where you drove the data model from access patterns, including single-table design and its tradeoffs.
Terraform in practice: you've authored modules and untangled someone else's state.
Serverless and container patterns on AWS: Lambda, API Gateway, ECS or Fargate, SQS, EventBridge, S3, and IAM you can explain in detail.
Comfort working directly with client teams, including architecture discussions with their engineers and difficult questions in a readout.

Preferred skills

pgvector at scale, or hybrid retrieval in production.
Bedrock Knowledge Bases, Guardrails, or Agents.
Document AI: OCR, layout-aware parsing, and table extraction from difficult PDFs.
Enterprise authentication: SAML, OIDC, SCIM.
Experience in regulated environments such as financial services, healthcare, or manufacturing.
Consulting or client-services background, or small-team experience with end-to-end ownership.

This role may not be the right fit if

You want to specialize in backend or frontend exclusively. Both are good careers, and this position is neither.
You've moved into architecture and no longer write code regularly. This is a hands-on role.
Your AI work has been prototypes and demos without responsibility for a system in production.

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: PTPuVh8c8Q4hx9u
Position Id: 9070714
Posted 6 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Jordan Loyd

Recruiter @ Vation Ventures

View Profile

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AI Software Engineer

Remote or Virginia

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Today

Company Description Oteemo is an industry-leading technology consulting firm at the forefront of cloud native, enterprise DevSecOps, and AI-driven transformation. We build intelligent, automated, secure systems for organizations tackling their toughest technical challenges and we're pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and you'll work alongside recognized experts on cutting-edge projects that blend cloud native a

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Lead AI Engineer with AWS Bedrock

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Today

We are seeking a hands-on Lead AI Engineer focused on building and deploying AIOps solutions using AWS Bedrock and agent-based architectures. The role requires strong engineering capability in Python or TypeScript combined with real-world experience implementing GenAI-powered systems in cloud environments. Responsibilities Design and implement AIOps solutions leveraging AWS Bedrock and agent-based architectures Build, deploy, and maintain AI services using Python or TypeScript Develop and manage

Full-time

Job Details

Skills

API
Amazon S3
PostgreSQL
Web Applications
Artificial Intelligence
Amazon Lambda
Amazon Web Services
Python
React.js
TypeScript

Summary

About the role

This role owns the services and data layers underneath those applications, along with the interface on top of them.

What you'll work on

AI systems

Inference and orchestration services on Amazon Bedrock: prompt and context assembly, tool and function calling, agentic loops, streaming, retries, and fallbacks across models.
Retrieval, end-to-end. Embedding and ingestion pipelines, vector search in Aurora PostgreSQL with pgvector, hybrid vector and keyword strategies, chunking and re-ranking, and the query tuning that holds p95 steady as the corpus grows.
The parts that determine quality: document parsing, extraction accuracy, PII handling, data contracts, and integration with the source systems clients already run.
Instrumentation. Token and cost accounting, latency budgets, tracing through multi-step chains, and evaluation harnesses that show whether a change improved the system or only changed it.

Application and infrastructure

API design and implementation: Lambda and API Gateway or containers on ECS/Fargate, auth and tenancy boundaries, async and queue-based work, and IAM scoped to pass a client security review.
Data modeling driven by access patterns. Aurora Postgres for relational and vector workloads, DynamoDB where the access pattern calls for it. Schema design, migrations, indexing, and query plan analysis.
Integrations with systems we don't control: Salesforce, ERPs, HRIS platforms, data warehouses, file transfers, and legacy SOAP endpoints.
Infrastructure as code in Terraform: modules, environments, state, and CI-driven applies. Terraform owns the infrastructure, and Amplify is scoped to hosting, environments, and auth so the two don't overlap.
Operations. Logging, alerting, performance budgets, and test coverage sufficient to deploy on a Friday.

Frontend

Application interfaces in Next.js (App Router, TypeScript, server components and server actions) with production-grade forms, tables, state management, and error handling.
The interaction problems specific to AI surfaces: streaming and partial output, latency that has to feel intentional, citations, and clear signaling when the system has low confidence.
Hosting and operations on AWS Amplify: environments, auth flows, and preview deployments.
Implementation against a design system. You don't need to be a designer, but you should be able to tell when something looks unfinished.

What the role offers

Systems that go into production. Every engagement ends with a client team running what you built, not with a prototype that gets shelved.
Ownership across the stack. You'll be one of two or three engineers on a build, with real authority over architecture rather than a narrow slice of someone else's design.
Direct client access. You'll be in the room for architecture discussions and readouts instead of receiving requirements secondhand.
Range across problem domains. Engagements vary by industry and system, so the technical problems don't repeat.
Scoped work. Engagements are defined in a statement of work, with an end date and a defined deliverable.

Required skills

5+ years shipping and maintaining production web applications, with significant time on AWS.
At least one LLM-backed feature taken to production and supported afterward. You know where RAG breaks, why agents stall, which evaluations are worth building, and what you'd do differently.
Amazon Bedrock, or equivalent production experience with another hosted model platform and the judgment to transfer it.
Strong TypeScript, plus Python for data and AI work.
Next.js and React beyond marketing sites, with experience living alongside your own architecture decisions.
Relational depth on Aurora or PostgreSQL: schema design, migrations, indexing, reading a query plan, and diagnosing slow queries methodically.
DynamoDB experience where you drove the data model from access patterns, including single-table design and its tradeoffs.
Terraform in practice: you've authored modules and untangled someone else's state.
Serverless and container patterns on AWS: Lambda, API Gateway, ECS or Fargate, SQS, EventBridge, S3, and IAM you can explain in detail.
Comfort working directly with client teams, including architecture discussions with their engineers and difficult questions in a readout.

Preferred skills

pgvector at scale, or hybrid retrieval in production.
Bedrock Knowledge Bases, Guardrails, or Agents.
Document AI: OCR, layout-aware parsing, and table extraction from difficult PDFs.
Enterprise authentication: SAML, OIDC, SCIM.
Experience in regulated environments such as financial services, healthcare, or manufacturing.
Consulting or client-services background, or small-team experience with end-to-end ownership.

This role may not be the right fit if

You want to specialize in backend or frontend exclusively. Both are good careers, and this position is neither.
You've moved into architecture and no longer write code regularly. This is a hands-on role.
Your AI work has been prototypes and demos without responsibility for a system in production.

Dice Id: PTPuVh8c8Q4hx9u
Position Id: 9070714
Posted 6 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Jordan Loyd

Recruiter @ Vation Ventures

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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