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Ai Agent Jobs (NOW HIRING)

ClearlyAgile

AI Agent Developer

Tampa, FL · On-site

AI Agent Developer (LLM Specialist) Role Overview The AI Agent Developer is responsible for designing, building, and deploying intelligent autonomous or semi-autonomous agents powered by Large ...

ClearlyAgile

AI Agent Developer

Tampa, FL · On-site +1

AI Agent Developer (LLM Specialist) Role Overview The AI Agent Developer is responsible for designing, building, and deploying intelligent autonomous or semi-autonomous agents powered by Large ...

Mark Miller Subaru

AI Agent Engineer

Sandy, UT · On-site

$14.25 - $19/hr

Mark Miller Subaru is seeking an AI Agent Engineer to design, build, and test intelligent agents that solve real business problems across our dealership operations. You'll develop and optimize agent ...

Mirakl - Labs

AI Agent Builder

Boston, MA · Hybrid

We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent ...

Cresta

Senior Forward Deployed Engineer (AI Agent)

$107K - $146K/yr

Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every ...

Scout Motors

AI Agent Engineer

Charlotte, NC · On-site

Hands-on experience developing and deploying AI agents on Databricks (Mosaic AI / Databricks Agent Framework), including multi-agent architectures and agent lifecycle management * Deep expertise in ...

New

Cresta

Senior Forward Deployed Engineer (AI Agent)

OR · On-site +1

$104K - $143K/yr

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large ...

Arrivia

AI Agent Builder - Remote

Austin, TX · On-site +1

As our AI Agent Builder , you will architect the workflows that define how our marketing, brand, and analytics teams evolve. This is a high-autonomy role where you will act as an internal consultant ...

Sphere

AI Agent Infrastructure Lead

San Francisco, CA · On-site

$230K - $260K/yr

Ship AI agent features that help Sphere's engineering team use agents more effectively and responsibly. * Iterate on versions of Sphere's agent sandbox environments. * Create workflows where agents ...

Liberate

Principal AI Agent Engineer

San Francisco, CA · On-site

Boston or San Francisco (Berkeley), hybrid (2 days/week in office) About the Role As a Principal AI Agent Engineer , you define what "great" looks like for agent engineering at Liberate. You set the ...

TikTok

Software Engineer, AI Agent

San Jose, CA · On-site

$156K - $316K/yr

What You'll Do - Architect & build AI Agent systems: Design and build autonomous Agent frameworks for ads growth and marketing scenarios, including but not limited to: Task Planning engines based on ...

Parloa

Lead AI Agent Architect

New York, NY · On-site

$60.50 - $82.75/hr

As a Lead AI Agent Architect at Parloa, you will play a key role in transforming customer service through AI-powered agents. In this highly customer-facing role, you will lead the design and ...

PLACE

AI agent operations lead

Scottsdale, AZ · On-site

$80K - $150K/yr

Pinpoint high-impact workflows where AI agents can amplify value by 100 times * Develop and implement future-state workflows by integrating business systems * Outline data flows, establish agent ...

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Ai Agent information

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How much do ai agent jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for ai agent in the United States is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $39.66 per hour, depending on experience, location, and employer.

Is an AI agent a good career?

A career as an AI agent involves developing and deploying artificial intelligence systems, which is a growing field with high demand for skills in machine learning, programming, and data analysis. It offers opportunities in various industries such as technology, healthcare, and finance, often requiring continuous learning and adaptation to new tools and techniques.

What are the key skills and qualifications needed to thrive in the Ai Agent position, and why are they important?

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

Which 3 jobs will survive AI?

For an AI agent, jobs that require complex human interaction, creativity, and strategic thinking are more likely to survive AI automation. These include roles such as healthcare professionals, skilled tradespeople, and managers, which rely on emotional intelligence, nuanced judgment, and adaptability. Continuous learning and certification in specialized skills can also help AI agents remain relevant in their fields.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may be found in large tech companies or research institutions with competitive compensation packages. Such salaries reflect the high demand for AI expertise and the complexity of the work involved.

What are some typical projects or tasks an AI Agent works on within a company?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

What is an AI Agent job?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

How much does an AI agent make?

The salary of an AI agent varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Roles often require skills in machine learning, programming, and data analysis, with higher salaries for those with advanced certifications or specialized expertise.
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Ai Agent jobs near you

AI Agent Developer BA Specialization

Accord Technologies Inc.

Warren, NJ • On-site

Contractor

Posted 5 days ago

Job description

Title: 
AI Agent Developer – BA Specialization
Location: Warren, NJ
Position type: W2 contract
 

Overview:
We are looking for a Business Analyst (BA) domain expert with a proven track record in AI/agent development. You will design and implement AI-powered BA agents capable of requirement elicitation, documentation, user story generation, mapping business flows, and stakeholder support. You’ll combine hands-on agent development with a deep understanding of the BA role to radically enhance digital transformation initiatives.

Key Responsibilities

  • Analyze current BA processes and design agentic solutions to support or automate needs assessment, requirement documentation, and workflow modeling.
  • Architect, build, and optimize BA agents (using LLM and agent frameworks such as LangChain, LlamaIndex, OpenAI, or similar).
  • Engineer prompt chains and context augmentation for LLMs to handle stakeholder queries, document requirements, and draft process flows or business rules.
  • Integrate agents with collaboration tools (Confluence, Jira, Azure DevOps, Slack, etc.) to enhance business process documentation and traceability.
  • Work with BA and product teams to curate domain-specific corpora, refine agent behavior, and validate outputs.
  • Evaluate agent accuracy, relevance, and utility with real-world BA tasks and continuous feedback loops.
  • Track and optimize agent adoption, report metrics, and document design and operational best practices.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Information Systems, Business, Computer Science, or related field.
  • 3+ years as a Business Analyst, Product Owner, Requirements Engineer, or Process Analyst.
  • 1+ years developing or deploying AI/LLM-based applications, chatbots, or workflow automation.
  • Proficient in Python (must); experience with JavaScript/TypeScript or other programming languages is a plus.
  • Demonstrated skill using agent and LLM frameworks: LangChain, LlamaIndex, OpenAI APIs, Vertex AI, etc.
  • Strong background in business process mapping, requirements engineering, and documentation standards.
  • Excellent communication and ability to translate BA logic into functional agent design and actionable code.

Bonus/Preferred Skills

  • Built or co-developed AI/LLM-powered tools for requirements gathering, process analysis, or workflow automation.
  • Experience with prompt engineering, fine-tuning LLM agents, or Retrieval-Augmented Generation (RAG).
  • Familiarity with agent orchestration frameworks (e.g., CrewAI, AutoGen).
  • Published work or open-source contributions in “AI for business analysis” or related areas.