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Langgraph Jobs in Indiana (NOW HIRING)

Zylo

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Experience with LangChain and LangGraph frameworks At Zylo, we're committed to Growing Stronger Together by fostering a diverse and inclusive workplace. We believe that a variety of perspectives not ...

E-gineering, Inc.

Senior AI Engineer

Indianapolis, IN

$99K - $137K/yr

Practical experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) and orchestration patterns * Experience designing and implementing evaluation strategies for LLM systems

E-gineering, Inc.

Senior AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Practical experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) and orchestration patterns * Experience designing and implementing evaluation strategies for LLM systems

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Langgraph information

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.
What are popular job titles related to Langgraph jobs in Indiana? For Langgraph jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Indiana look for? The top searched job categories for Langgraph jobs in Indiana are:
What cities in Indiana are hiring for Langgraph jobs? Cities in Indiana with the most Langgraph job openings:
Langgraph jobs near you
Infographic showing various Langgraph job openings in Indiana as of June 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Sr. AI Engineer

Sr. AI Engineer

Zylo

Indianapolis, IN • On-site

$99K - $137K/yr

Full-time

Posted yesterday

Job description

Zylo is the enterprise leader in SaaS Management, enabling companies to discover, manage, and optimize their SaaS applications. Zylo helps companies reduce costs and minimize risk by centralizing SaaS inventory, license, and renewal management. Trusted by industry leaders, Zylo's AI-powered platform provides unmatched visibility into SaaS usage and spend. Powered by the industry's most intelligent discovery engine, Zylo continuously uncovers hidden SaaS applications, giving companies greater control over their SaaS portfolio. With more than 30 million SaaS licenses and $75 billion in SaaS spend under management, Zylo delivers the deepest insights, backed by more data than any other provider.
Overview
We are seeking an experienced Senior AI Engineer to lead the evolution of our enterprise SaaS platform's agentic AI capabilities. You'll drive strategic AI initiatives that solve complex client problems while working with large-scale datasets for global enterprise customers. This role combines deep technical expertise in AI agents, RAG systems, and enterprise integration with strategic thinking about how AI can transform our platform and deliver exceptional business value..
What you will do
  • Drive strategic AI initiatives that directly impact client success and business growth, defining technical roadmaps and influencing product strategy to solve complex enterprise problems
  • Architect and enhance our agentic processes for enterprise-scale deployments, building sophisticated multi-agent orchestration patterns for complex workflows
  • Design advanced agent memory systems and context management solutions that maintain coherence across long-running conversations and extended enterprise tasks
  • Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets
  • Develop enterprise-grade MCP (Model Context Protocol) services enabling seamless client agent integration with standardized APIs, security protocols, and comprehensive documentation
  • Leverage AWS technologies (Bedrock, Lambda, etc) to architect AI solutions with optimal performance, cost efficiency, and enterprise-scale LLM integration
  • Design and optimize schemas for storing LLM interactions, agent state, and conversation history while building monitoring systems for AI operations
  • Lead cross-functional initiatives to integrate AI throughout our platform ecosystem, partnering with product and engineering teams to deliver measurable business value
  • Translate complex technical AI concepts into business value, working directly with enterprise clients to understand their needs and influence strategic platform decisions
  • Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance while maintaining high engineering standards for production AI systems.

Requirements
What you need
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in AI/ML engineering with at least 2 years in a senior role
  • Proven experience building and deploying AI agents or conversational AI systems in production
  • Experience working with large-scale enterprise datasets and SaaS platforms.
  • Expertise in design patterns for memory systems and context management solutions and optimization for AI workloads
  • Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments
  • Experience with RAG systems, vector databases, and semantic search
  • Understanding of Model Context Protocol (MCP) and AI agent integration patterns
  • Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as TensorFlow, PyTorch..
  • Knowledge of enterprise security patterns and compliance requirements
  • Ability to articulate technical concepts to technical and non-technical stakeholders.
  • Ability to thrive in a fast-paced, dynamic environment.
  • Flexibility to adapt to changing priorities and requirements.

Nice to have
  • Experience in SaaS Management or Software Asset Management.
  • Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Knowledge of ethical AI, bias mitigation, and AI safety best practices
  • Experience with LangChain and LangGraph frameworks

At Zylo, we're committed to Growing Stronger Together by fostering a diverse and inclusive workplace. We believe that a variety of perspectives not only fuels innovation, but also allows us to better serve our diverse customer base. If you meet the essential qualifications, we encourage you to apply and join us on this journey. Still growing in your career? Connect with our talent community -we're always looking for future Zylos who share our passion for continuous learning.

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