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Associate Ai Agent Developer Jobs in Indiana (NOW HIRING)

... Engineering, or Sales) and the customer. * Apply structured testing approaches to validate AI agent ... behaviour, quality, and performance under real-world conditions. Document best practices, how-to ...

You'll design multi-agent architectures, build reliable integrations across complex business ... engineering with AI as a core primitive. This is a hands-on builder role with high ownership. You ...

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Design advanced agent memory systems and context management solutions that maintain coherence ... Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance ...

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Design advanced agent memory systems and context management solutions that maintain coherence ... Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance ...

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Design advanced agent memory systems and context management solutions that maintain coherence ... Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance ...

The AI Architect role involves architecting and implementing production-grade AI agent solutions ... with engineering, data, product, security, and customer stakeholders to align AI solutions with ...

About the Team We deploy Zoom Virtual Agent into live customer environments. Our team bridges Sales ... AI/ML solutions (Solutions Engineering, Technical Account Management, or similar). * Deploy LLM ...

CI/CD pipelines and DevOps automation. * Multi-agent AI architectures. * Knowledge graph implementations. * Business intelligence and analytics platforms. Success Metrics Within the first 12 months ...

$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 ...

New

Sr. Staff Software Engineer - AI Chat

Indianapolis, IN · On-site

$117K - $154K/yr

You'll own the agent integration layer, designing how ChatNow connects to Lilly's expanding network ... This is AI-native engineering at staff level. You'll shape how agents are registered, discovered ...

... AI Technology team: * Associate Level (0-2 years experience /New Grads) * Mid Level (3-5 years ... Agent workflows and orchestration * Tool/MCP calls and backend integrations (e.g., Salesforce and ...

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

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Exposure to modern AI agent and LLM technologies. * Flexible remote work environment. * Opportunity ...

Product Designer - AI Agents

Francisco, IN · On-site

$125K - $160K/yr

Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI ... Enjoys partnering with engineers and PMs, especially in person * 1-3+ years of design experience ...

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Showing results 1-20

Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in Indiana? The most popular types of Ai Agent Developer jobs in Indiana are:
What are popular job titles related to Associate Ai Agent Developer jobs in Indiana? For Associate Ai Agent Developer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Associate Ai Agent Developer jobs in Indiana look for? The top searched job categories for Associate Ai Agent Developer jobs in Indiana are:
What cities in Indiana are hiring for Associate Ai Agent Developer jobs? Cities in Indiana with the most Associate Ai Agent Developer job openings:

Senior Agent Architect

Parloa

Florence, IN

Other

Posted 9 hours ago


Job description

About Parloa

Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.

About the Role:

As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness.

You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions.

This is your opportunity to architect and deliver cutting-edge AI agent solutions while influencing how enterprise customer service evolves in the age of generative AI.

Areas of Ownership:
  • Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. 
  • Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.
  • Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. 
  • Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. 
  • Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via intergration platforms and APIs to deliver end-to-end enterprise solutions. 
  • Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. 
  • Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.
Who You Are:
  • 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
  • Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
  • Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
  • Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
  • Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
  • Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
  • Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
  • Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
  • Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
  • Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
  • Familiarity with A/B testing methods to ensure AI agent performance at scale
Nice to Have:
  • Experience building custom connectors via integration platforms such as Paragon (TypeScript)
  • Experience with Git-based version control and CI/CD pipelines
  • Familiarity with middleware architecture
Our Recruiting Process:

Talent Acquisition Hiring Manager Technical Interview(s) & Expert Interview Bar Raiser

Why Parloa?

We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale-and want your work to matter in real, everyday moments-this is where you do it.

At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we're scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package.