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Assistant Ai Agent Developer Jobs in Sun Prairie, WI

The Opportunity At Sema4.ai , we're building an Enterprise AI Agent platform that fundamentally ... As a Staff Engineer on the AI team , you'll design, build, and extend Sema4.ai 's cognitive ...

The Opportunity At Sema4.ai, we're building an Enterprise AI Agent platform that reinvents how ... You'll guide the technical direction of our agent framework while mentoring senior engineers and ...

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... This role will be focused on embedding LLMs, agent-based systems, and automation into core ...

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... This role will be focused on embedding LLMs, agent-based systems, and automation into core ...

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... This role will be focused on embedding LLMs, agent-based systems, and automation into core ...

AI Engineer

Watertown, WI ยท On-site +1

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... This role will be focused on embedding LLMs, agent-based systems, and automation into core ...

AI Engineer

Watertown, WI ยท On-site +1

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... This role will be focused on embedding LLMs, agent-based systems, and automation into core ...

Job Responsibilities 1. Agent Development : Design, build, and deploy LLM-powered agents to solve ... to assist with the initial review of applications, such as identifying relevant skills or ...

New

Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent ... Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container ...

New

Senior Platform Architect

Madison, WI ยท On-site

$200K - $300K/yr

Practical experience developing, selling, and building around Artificial Intelligence, including conversational BOTs (e.g., Amazon Lex) and cutting-edge LLM/AI agent ecosystems (prompt engineering ...

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Assistant Ai Agent Developer information

What are the key skills and qualifications needed to thrive as an assistant AI agent developer?

To thrive as an Assistant AI Agent Developer, you need a solid background in programming (especially Python), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems like Git, and APIs is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills for success in this role. These skills ensure the development of robust, efficient AI agents and smooth collaboration within multidisciplinary teams.

What are the typical collaboration practices for an assistant AI agent developer within a software development team?

As an Assistant AI Agent Developer, you'll frequently collaborate with data scientists, senior developers, and product managers to design, test, and refine AI agents. You'll often participate in code reviews, daily standups, and brainstorming sessions to ensure that the AI solutions align with project goals and user needs. Effective communication and teamwork are essential, as you may need to integrate your code with other systems or adapt to evolving project requirements. Working with cross-functional teams not only helps in troubleshooting but also provides valuable learning opportunities to advance your skills.

What is an assistant AI agent developer?

An Assistant AI Agent Developer is a professional who designs, develops, and maintains AI-powered virtual assistants or chatbot systems. Their work involves programming conversational agents, integrating natural language processing (NLP) technologies, and ensuring the agent can understand and respond to user queries effectively. They may also be responsible for training the AI using data, testing the assistant's performance, and deploying updates for improved accuracy and functionality. This role often requires knowledge of programming languages such as Python, familiarity with AI frameworks, and understanding of user experience design.
What are the most commonly searched types of Ai Agent Developer jobs in Sun Prairie, WI? The most popular types of Ai Agent Developer jobs in Sun Prairie, WI are:
What job categories do people searching Assistant Ai Agent Developer jobs in Sun Prairie, WI look for? The top searched job categories for Assistant Ai Agent Developer jobs in Sun Prairie, WI are:
What cities near Sun Prairie, WI are hiring for Assistant Ai Agent Developer jobs? Cities near Sun Prairie, WI with the most Assistant Ai Agent Developer job openings:

Staff Engineer, AI

Sema4.ai

Madison, WI โ€ข On-site

Full-time

Re-posted 17 days ago


Job description

The Opportunity
At Sema4.ai, we're building an Enterprise AI Agent platform that fundamentally changes how knowledge work gets done-by enabling people and AI agents to collaborate in durable, trustworthy ways.
As a Staff Engineer on the AI team, you'll design, build, and extend Sema4.ai's cognitive architectures-the core platform at the center of our agents. You'll blend cutting-edge AI research with production-grade rigor to deliver high-leverage capabilities to the agents our customers build daily.
This is an early, high-impact role. You'll be building foundational infrastructure in a fast-moving environment where decisions matter and tradeoffs are real. We're looking for engineers who are comfortable operating with ambiguity, but who bring rigor, taste, and strong technical judgment to everything they build.
Who You Are
GenAI Expert
You know how to make LLMs and agents do real work in production systems. You understand the sharp edges: prompt brittleness, context limits, tool failures, cost and latency constraints, provider quirks, and enterprise reliability requirements. You're fluent in current approaches used in AI systems development, and you know how to apply them thoughtfully rather than reflexively.
In-depth Technologist
You stay close to research and industry, but you don't chase every new idea. You track where the field is heading and design systems that will adapt gracefully as models and techniques evolve. You evaluate trends critically, adopt what works, and avoid unnecessary complexity. You think carefully about abstraction boundaries, failure modes, and long-term maintainability.
Builder With Standards
You care about correctness, clarity, and operational behavior. You're comfortable iterating quickly, but you understand the limits of your systems and know how to address them when the time is right. You know how to navigate between "not invented here" syndrome and assuming someone else has already solved all your problems.
What You'll Do
Build and Own Core Systems
You'll spend most of your time developing and evolving core agent framework components, orchestration logic, and LLM integration layers. These are not experiments; they are systems customers will rely on for business-critical workloads, and you'll own them end to end.
Work Close to the Product
Collaborate directly with the product and field engineering teams to understand how customers are building and applying agents. You'll help translate these product intents into robust systems, and design new capabilities to advance the art of the possible.
Solve Ambiguous, High-Leverage Problems
Take on problems where the shape of the solution isn't obvious: improving agent reliability, managing long-running workflows, balancing cost and performance, and integrating new model capabilities responsibly. You'll be trusted to figure things out, from concept to production.
Contribute to Technical Culture
You'll participate actively in design reviews and code reviews, help shape technical standards, and interview technical candidates. You'll lead with influence across the engineering and product teams.
What You Bring
  • 7+ years of software engineering experience, including 2+ years building AI/ML systems in production
  • Deep experience with backend systems in Python, including performance, observability, and reliability concerns
  • Hands-on experience designing and operating LLM-based systems (agents, orchestration, retrieval, tools, etc.)
  • Strong communication skills: whether you're talking to colleagues, customers, or machines, you communicate clearly, concisely, and collaboratively
  • A high-ownership mindset: you care deeply about the systems you build, and you take responsibility for their long-term health