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Ai Agent Jobs (NOW HIRING)

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 ...

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 ...

AI Agent Developer

Tampa, FL ยท 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 ...

AI Agent Engineer

Sandy, UT ยท 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 ...

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 ...

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 ...

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 ...

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 ...

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Senior Forward Deployed Engineer (AI Agent)

OR ยท 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 ...

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 ...

Software Engineer, AI Agent

San Jose, CA ยท 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 ...

AI Agent Infrastructure Lead

San Francisco, CA ยท 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 ...

AI agent operations lead

Scottsdale, AZ ยท 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 ...

Lead AI Agent Architect

New York, NY ยท 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 ...

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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 Developer

AI Agent Developer

ClearlyAgile

Tampa, FL โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

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 Language Models (LLMs). This role focuses on enabling complex workflows, reasoning capabilities, system integration, and secure data interaction across enterprise environments.

Key Responsibilities

???? Agent Design & Development

  • Architect and implement AI-powered agents using LLMs (e.g., GPT, Claude, Llama, Mistral, Gemini).
  • Develop prompt workflows, retrieval-augmented generation (RAG), and multi-step reasoning.
  • Configure agent behaviors for decision-making, task execution, and contextual understanding.
  • Implement function calling, tool use, or API integration to extend agent capabilities.

???? System Integration

  • Connect agents to internal systems, databases, knowledge bases, and APIs.
  • Use frameworks such as LangChain, LlamaIndex, Haystack, Semantic Kernel, or custom pipelines.
  • Implement connectors for CRMs, ERPs, ticketing platforms, or document repositories.

???? Data & Knowledge Management

  • Create structured and unstructured knowledge retrieval mechanisms.
  • Build and manage vector databases (Pinecone, Weaviate, Chroma, Milvus, Azure AI Search).
  • Implement embeddings, chunking strategies, metadata tagging, and query optimization.

???? Workflow Automation

  • Design agent orchestration pipelines to handle multi-agent collaboration.
  • Enable agents to automate research, reporting, email drafting, document processing, and customer interactions.
  • Integrate with workflow tools like Zapier, Airflow, UiPath, or Power Automate.

???? Model Optimization & Evaluation

  • Fine-tune or customize LLMs using organization-specific data.
  • Evaluate model performance for accuracy, latency, cost, hallucinations, and compliance.
  • Apply guardrails, prompt validation, and reinforcement techniques.

???? Security, Ethics & Compliance

  • Enforce data privacy and governance standards (GDPR, HIPAA, SOC2, ISO, CCPA).
  • Implement role-based access and secure API token handling.
  • Apply content filtering, moderation, and usage monitoring.

???? Collaboration & Documentation

  • Work with cross-functional teams (engineering, design, product, legal, security).
  • Maintain technical documentation, agent configuration logs, and deployment playbooks.
  • Train internal teams on capabilities and responsible use.

Requirements

Required Skills & Experience

Technical Stack

  • Experience with Python, TypeScript/JavaScript, or Go.
  • Familiarity with API development (REST, GraphQL, JSON).
  • Experience with cloud platforms: Azure OpenAI, AWS Bedrock, GCP Vertex AI, or Hugging Face.
  • Knowledge of vector databases and retrieval architectures.

AI/ML Expertise

  • Strong understanding of LLM architectures, embeddings, prompt engineering, and RAG.
  • Experience with fine-tuning or model adaptation techniques.
  • Familiarity with agent frameworks (LangChain Agents, CrewAI, AutoGen, Semantic Kernel).

Bonus Skills

  • Experience building chatbots, copilots, or domain-specific assistants.
  • Knowledge of event-driven architecture, microservices, or serverless functions.
  • Exposure to MLOps or LLMOps tooling.

Benefits

ABOUT THE COMPANY

ClearlyAgile is one of the fastest growing Agile companies in the Tampa Bay area. We foster career growth and are focused on having fun while delivering quality products and services to our clients. With Unlimited Paid Time Off; 10 paid holidays; Medical, Vision and Dental benefits that start on your first day; Share Apprecition Rights; 401(k); paid training certifications; and very competitive compensation plans, ClearlyAgile strives to listen to and invest in its most important assetโ€ฆits people.

Our Mission: Transform our customerโ€™s businesses using Agile methodologies and principles to help them succeed in a flexible, collaborative, self-organizing and fast-paced environment.

Our Values: We hire and reward based on our core values.

    • Show Your Passion - Have passion for what you do. Be an active learner with a commitment to grow. Attend and participate in events!
    • Be a Champion of Agile - Spread the word. Back it up with examples, case studies, and data points. Lead by example.
    • Teamwork - Be cooperative and collaborative while maintaining a team-first mindset.
    • Customer-centric - Always focus on the client and their customers. See the world from their perspectives.
    • Quality - Maintain a sense of pride in the quality of your work and the collective work of the team.
    • Be a Leader - Empower yourself to make decisions and donโ€™t be paralyzed by fear of failure.

We are an equal opportunity employer and committed to a diverse workforce.

To learn more about us visit our website at www.clearlyagile.com.