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Ai Agent Engineer Jobs in Indiana (NOW HIRING)

$51.75 - $68.50/hr

Evaluate new LLM and agent capabilities continuously and translate them into practical, governed ... Demonstrated experience with LLM APIs, prompt engineering, or AI agent frameworks - you have built ...

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

Job Title The AI Solutions Engineer is responsible for designing, building, and evaluating managed ... Translating unfamiliar business processes into clear agent requirements, scope, and success ...

AI Solutions Engineer

Carmel, IN · On-site

$110 - $160/hr

Job Title The AI Solutions Engineer is responsible for designing, building, and evaluating managed ... Translating unfamiliar business processes into clear agent requirements, scope, and success ...

AI Solutions Engineer

Carmel, IN · On-site

$110 - $160/hr

Job Title The AI Solutions Engineer is responsible for designing, building, and evaluating managed ... Translating unfamiliar business processes into clear agent requirements, scope, and success ...

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Showing results 21-40

Ai Agent Engineer information

See Indiana salary details

$24

$51

$72

How much do ai agent engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai agent engineer in Indiana is $51.03, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $59.23 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are popular job titles related to Ai Agent Engineer jobs in Indiana?

For Ai Agent Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Agent Engineer jobs in Indiana look for?

The top searched job categories for Ai Agent Engineer jobs in Indiana are:

What cities in Indiana are hiring for Ai Agent Engineer jobs?

Cities in Indiana with the most Ai Agent Engineer job openings:

Infographic showing various Ai Agent Engineer job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $106,149 per year, or $51 per hour.

Salesforce AI Use Case Developer

Fluence

On-site

$51.75 - $68.50/hr

Full-time

Re-posted 18 days ago


Job description

Fluence (Nasdaq: FLNC)is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. For more information, please visitfluenceenergy.com.

Job Description:

Role Overview

As AI Specialist / Vibe Coder, you will be the rapid-build engine of Fluence's GTM Technology and Automation team. You will design and configure AI agents, prototype automation workflows, build Salesforce Flow logic, and ship working proofs-of-concept in days - not weeks. You sit at the intersection of AI tooling, low-code platforms, and commercial operations, working directly with Sales and Marketing teams to turn workflow ideas into live, adopted automation.

You will own the execution of AI use cases across Agentforce, Gong integrations, and Salesforce-native automation, operating as a key delivery partner to the Director, to IT team, and to the implementation partner. This role requires someone who builds real things, not someone who consults on them.

Key Responsibilities

  • Design, configure, and iterate on Agentforce agents for Sales use cases including account briefs, proposal support, and next-best-action recommendations

  • Develop and maintain Salesforce Flow automations that reduce manual handoffs, enforce lifecycle rules, and surface timely signals to reps and managers

  • Prototype rapid AI and automation proofs-of-concept for stakeholder review, with a target turnaround of one to three days per prototype

  • Support third-party implementation partner(s) on AI-adjacent implementation decisions, acting as the business-side AI authority during platform builds

  • Produce adoption aids and internal tooling including prompt guides, workflow reference materials, quick-start assistants, and in-platform help content

  • Evaluate new LLM and agent capabilities continuously and translate them into practical, governed, high-value business improvements

  • Collaborate with IT on security review, data access governance, and production deployment of all AI-powered workflows

  • Partner with Sales and Marketing teams in discovery sessions to define automation requirements and validate that shipped solutions match real workflows

Required Qualifications & Experience

  • 3+ years of hands-on experience with Salesforce automation, including Salesforce Flow, Process Builder, or equivalent declarative tools

  • Demonstrated experience with LLM APIs, prompt engineering, or AI agent frameworks - you have built agents or automated workflows using language models

  • Proven ability to deliver working prototypes rapidly from a standing start; a portfolio of things you have shipped matters more than certifications

  • Comfortable working directly and frequently with non-technical commercial stakeholders to define requirements and validate solutions

  • Strong understanding of B2B commercial workflows: lead lifecycle, opportunity management, pipeline reporting, and proposal processes

  • Solid grasp of data security and governance principles relevant to AI systems, including prompt injection risks, data access scoping, and audit logging

Additional Skills

  • Hands-on experience with Salesforce Agentforce or Einstein Copilot agent configuration

  • Experience with Gong, Demandbase, or similar GTM platforms and their integration patterns is a strong plus

  • Experience working alongside third-party implementation partners in a sprint-based delivery model

  • Background in energy, infrastructure, industrial SaaS, or other complex B2B environments

Our Culture

At Fluence, our culture is the foundation that drives our ambitious growth strategy and fuels our mission to transform the future of energy. Our core cultural pillars empower us to innovate, collaborate, and lead with purpose, ensuring we continue to deliver unparalleled value to our customers and the world.

Unleash Voices

We believe every voice matters. We encourage openness, active listening, and decisive action to create a culture where everyone has the opportunity to contribute to our success. We foster an environment where diverse perspectives are heard and valued, driving innovation and progress.

Customer Fluent

Our customers are at the heart of everything we do. We're committed to delivering exceptional value that exceeds expectations by understanding our customers' needs and adapting swiftly to meet them. Our deep focus on customer satisfaction drives us to continuously improve and innovate.

Infinite Impact

We are committed to creating the impossible. We push boundaries to deliver sustainable, game-changing solutions that shape a brighter, more energy-efficient future for all. Our team is passionate about making a lasting impact that will resonate for generations to come.

All In

We are all in for growth. Our teams are relentlessly focused on identifying and seizing opportunities that propel us forward. We embrace an ownership mindset, pushing ourselves and each other to accelerate progress and create lasting success.

Equal Opportunity Employer
At Fluence, we believe great teams are built on a collaborative and connected culture. We're proud to be an Equal Opportunity Employer and welcome qualified applicants of all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other status protected by law.

Work Authorization
To join our team, you'll need to be legally authorized to work in the United States at the time of application and throughout your employment, without the need for employer sponsorship. Please note that Fluence does not sponsor work visas for this position.