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Patent Agent Computer Science Jobs in Indiana (NOW HIRING)

... Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related ... Experience with multi-agent frameworks and agentic AI patterns - Proficiency with Docker ...

Agent workflows and orchestration * Tool/MCP calls and backend integrations (e.g., Salesforce and ... Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems ...

Tripwire Platform Engineer

Carmel, IN · On-site

$114K - $139K/yr

... health, agent connectivity, and data integrity. * Generate and maintain audit-ready Tripwire ... What You'll Bring: * Bachelor's degree in a technical field (Computer Science, Information ...

... engineering, RAG, and agent frameworks, to advance Platform Operations and capabilities ... Bachelor's degree in Computer Science, Engineering, AI, or related field, or 6-8 years of relevant ...

... engineering, RAG, and agent frameworks, to advance Platform Operations and capabilities ... Bachelor's degree in Computer Science, Engineering, AI, or related field, or 6-8 years of relevant ...

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

A Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics or ... agent frameworks. * Strong programming skills in Python and R (including libraries like scikit ...

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

A Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics or ... engineering, agent frameworks). Some of the technical proficiencies needed for our Principal AI ...

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Patent Agent Computer Science information

What are some common challenges faced by Patent Agents specializing in Computer Science, and how can they be overcome?

Patent Agents in Computer Science often encounter the challenge of staying up-to-date with rapidly evolving technologies and interpreting complex technical concepts for patent applications. Navigating the differences between software patent eligibility in various jurisdictions can also be demanding. Effective collaboration with inventors and legal teams is essential to ensure accurate and comprehensive patent filings. Staying engaged with continuing education and regularly reviewing new case law helps Patent Agents maintain expertise and manage these challenges successfully.

What is the difference between Patent Agent Computer Science vs Patent Attorney Computer Science?

AspectPatent Agent Computer SciencePatent Attorney Computer Science
CredentialsPatent Bar, technical degree in CSPatent Bar, law degree, and admission to bar
Work EnvironmentPatent offices, law firms, R&D departmentsLaw firms, corporate legal departments, patent offices
Industry UsagePreparing and prosecuting patent applications in CSLegal representation, patent litigation, advising clients
Common Search IntentDifferences, roles, qualificationsLegal scope, responsibilities, career path

Patent Agent Computer Science focuses on preparing and prosecuting patent applications in the tech field, requiring a technical degree and passing the Patent Bar. Patent Attorney Computer Science involves legal representation, including patent litigation and advising clients, requiring a law degree and bar admission. Both roles work closely in the patent process but differ mainly in legal authority and scope.

What are Patent Agents in Computer Science?

Patent Agents in Computer Science are professionals licensed by the United States Patent and Trademark Office (USPTO) to help inventors and organizations protect their computer-related inventions. They specialize in drafting, filing, and prosecuting patent applications, particularly for innovations in software, algorithms, and hardware. While they are not attorneys and cannot represent clients in court, they possess a strong background in computer science and patent law, making them essential for navigating the complex process of securing patents for technological inventions.

What are the key skills and qualifications needed to thrive as a Patent Agent in Computer Science, and why are they important?

To thrive as a Patent Agent in Computer Science, you need a strong background in computer science or engineering, familiarity with intellectual property law, and registration with the USPTO. Expertise in patent databases, patent drafting software, and legal research tools is commonly required. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting technical concepts and interacting with inventors and attorneys. These skills ensure accurate patent preparation, protection of innovations, and successful navigation of complex legal and technical requirements.
What are popular job titles related to Patent Agent Computer Science jobs in Indiana? For Patent Agent Computer Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Patent Agent Computer Science jobs in Indiana look for? The top searched job categories for Patent Agent Computer Science jobs in Indiana are:
Sr. Staff Software Engineer - AI Chat

Sr. Staff Software Engineer - AI Chat

Eli Lilly and Company

Indianapolis, IN • On-site

$107K - $141K/yr

Full-time

Posted 15 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

10th of 71 rated pharmaceutical


Job description

Job Summary:
Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, dedicated to improving the lives of people around the world. They are seeking a Senior Staff Software Engineer to lead the technical direction and delivery of ChatNow's core platform, focusing on the conversation routing engine and integration of AI capabilities.
Responsibilities:
• You'll define the architecture and drive implementation of ChatNow's conversation routing engine — the system that takes a user's intent and connects it to the right AI agent, model, or workflow.
• You'll own the agent integration layer, designing how ChatNow connects to Lilly's expanding network of specialized AI agents on Cortex.
• You'll build streaming chat interfaces in React and TypeScript, backed by scalable services that handle thousands of concurrent sessions with low latency across multiple AI providers.
• You'll own features end to end. Design, build, test, deploy, monitor. No hand-offs.
• You'll operate ChatNow on Cortex and Hangar — Lilly's enterprise Kubernetes platform — instrumented with LGTM observability so you can see exactly how routing, latency, and agent performance behave in production.
• You'll integrate LLM capabilities through Cortex's model gateway, supporting multi-model routing with fallback and load balancing.
• You'll implement MCP integrations that connect agents to enterprise data sources and tools.
• And you'll use agentic coding tools like Claude Code and GitHub Copilot as a daily force multiplier — not a novelty.
• This is AI-native engineering at staff level. You'll shape how agents are registered, discovered, and invoked on Cortex — defining the framework that the rest of the organization builds on.
• You'll make technical decisions that ripple across teams, mentor engineers, and raise the standard for what production AI software looks like at Lilly.
Qualifications:
Required:
• 10+ years of professional software engineering experience, with demonstrated technical leadership at scale
• 5+ years in TypeScript/JavaScript, Python and Go (with ability to use AI coding tools proficiently), architecting and building production web applications with React or equivalent
• 5+ years experience designing RESTful or GraphQL APIs at scale
• Deep hands-on experience with Kubernetes — not just deploying, but operating, debugging, and tuning
• Strong CI/CD and GitOps practices
• Bachelor's degree in Computer Science, Software Engineering, or a related field
Preferred:
• Experience integrating LLM APIs into production — streaming, function calling, tool use
• Hands-on work with conversational AI systems: routing, intent classification, context management, or multi-agent orchestration
• Experience with real-time systems: WebSockets, SSE, event-driven architectures, or workflow orchestration
• Familiarity with MCP, A2A, or emerging AI interoperability protocols
• Active use of agentic coding tools in your daily workflow
• A track record of shipping user-facing products with high reliability and polish
• Experience setting technical direction across multiple teams or workstreams
Company:
We're a medicine company turning science into healing to make life better for people around the world. Founded in 1876, the company is headquartered in Indianapolis, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Eli Lilly and Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Eli Lilly logo

About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876