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Llm Delivery Jobs in Indiana (NOW HIRING)

Senior AI Engineer

Warsaw, IN · On-site

$130 - $180/hr

Develop techniques to improve the consistency and predictability of LLM-powered features ... Ability to balance hands‑on delivery with technical guidance and solution design Nice-to-Haves

Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM capabilities * Lead and deliver training sessions, workshops, and handson learning opportunities to increase ...

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and ...

... that deliver business impact. * Build across the full stack: front-end (React, TypeScript), backend (Python, Node.js, Go), APIs, databases (SQL/NoSQL/vector stores). * Develop and optimize LLM ...

... deliver practical, trustworthy, and mission-aligned AI solutions. As the organization's AI ... Design and build LLM-powered applications that help staff work more effectively - including ...

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across ... Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI ...

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across ... Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI ...

... deliver practical, trustworthy, and mission-aligned AI solutions. As the organization's AI ... Design and build LLM-powered applications that help staff work more effectively - including ...

Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM capabilities. * Lead and deliver training sessions, workshops, and hands-on learning opportunities to ...

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

This delivery-focused role requires designing, coding, testing, and maintaining production-ready ... Develop partner data ingestion workflows leveraging OCR, LLM-based extraction, confidence scoring ...

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Llm Delivery information

What is an LLM Delivery specialist?

An LLM Delivery specialist is a professional responsible for deploying, integrating, and maintaining large language models (LLMs) within an organization or for clients. Their work involves overseeing the effective implementation of LLM solutions, ensuring they meet business requirements, and handling issues like scalability, data privacy, and performance optimization. They often collaborate with data scientists, engineers, and stakeholders to deliver AI-driven applications and services powered by LLMs.

What are the key skills and qualifications needed to thrive as an LLM Delivery specialist?

To thrive as an LLM Delivery specialist, you need a strong background in machine learning, natural language processing, and software engineering, often supported by a degree in computer science or a related field. Familiarity with large language model frameworks (such as OpenAI, Hugging Face), cloud platforms, and MLOps tools is typically required, along with experience in model deployment and monitoring. Excellent problem-solving skills, effective communication, and adaptability are vital soft skills for collaborating with cross-functional teams and addressing client needs. These competencies ensure successful implementation, scalability, and optimization of language model solutions in dynamic production environments.

What are some common challenges faced by professionals in LLM Delivery roles, and how can they be addressed?

Professionals in LLM Delivery often encounter challenges such as aligning large language model solutions with client requirements, managing cross-functional teams, and ensuring robust model deployment and monitoring. Successfully navigating these challenges typically involves clear communication with stakeholders, staying updated on best practices in AI model deployment, and collaborating closely with data scientists, engineers, and product managers. Building strong project management skills and fostering a culture of continuous feedback can also help in delivering high-quality, scalable LLM solutions.

What is the difference between Llm Delivery vs Data Scientist?

AspectLlm DeliveryData Scientist
Required CredentialsTypically requires knowledge of AI/ML deployment, cloud platforms, and programming skillsRequires degrees in data science, statistics, or related fields, with skills in programming and analytics
Work EnvironmentOften involves collaboration with AI teams, cloud infrastructure, and client-facing projectsWorks with data analysis, modeling, and visualization within teams or independently
Employer & Industry UsageUsed in tech companies, AI service providers, and consulting firmsCommon in tech, finance, healthcare, and research organizations
Search & Comparison IntentPeople compare roles related to AI deployment and implementationPeople compare roles focused on data analysis and modeling

While both roles involve technical skills, Llm Delivery focuses on deploying large language models and AI solutions, whereas Data Scientists primarily analyze data and build predictive models. Understanding these differences helps candidates choose the right career path or job opportunity.

What job categories do people searching Llm Delivery jobs in Indiana look for?

The top searched job categories for Llm Delivery jobs in Indiana are:

What cities in Indiana are hiring for Llm Delivery jobs?

Cities in Indiana with the most Llm Delivery job openings:

Infographic showing various Llm Delivery job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 32% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

$130 - $180/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Hybrid or full remote


We are looking for a Senior AI Engineer to design and build production-grade AI applications and services using Python. In this role, you will turn business and AI use cases into reliable, scalable technical solutions, working with LLMs, backend services, APIs, and enterprise systems.


What You'll Do

  • Design and build production-grade AI applications and services using Python

  • Translate business requirements and AI use cases into practical technical solutions

  • Build backend services, APIs, workflows, and integrations that incorporate LLMs and other AI capabilities

  • Design evaluation frameworks and test cases to measure the quality and reliability of AI outputs

  • Develop techniques to improve the consistency and predictability of LLM-powered features

  • Implement observability, instrumentation, tracing, and monitoring for AI systems

  • Build reusable components for prompting, model interaction, evaluation, retrieval, and orchestration

  • Develop automated tests and CI/CD pipelines for AI applications

  • Integrate AI applications with enterprise data platforms, APIs, and business systems

  • Diagnose and resolve issues in deployed applications and support production workloads

  • Contribute to architecture and technology decisions across AI products

  • Review engineering work and establish best practices for Python and AI application development

  • Work directly with clients and stakeholders to refine requirements, evaluate trade-offs, and shape solutions


Must-Haves

  • 5+ years of experience in software engineering, backend engineering, applied AI, or related fields

  • Strong Python fundamentals and experience building maintainable, production-grade Python applications

  • Experience designing and deploying AI or LLM-powered products beyond proof-of-concept or notebook environments

  • Experience building backend services and APIs using Python

  • Strong understanding of software engineering fundamentals, including modular design, testing, version control, and CI/CD

  • Hands‑on experience evaluating LLM outputs and designing repeatable test cases for AI applications

  • Experience with observability, instrumentation, logging, tracing, or monitoring of production applications

  • Understanding of the challenges involved in making probabilistic AI systems reliable and predictable

  • Experience integrating applications with external APIs, data sources, and enterprise systems

  • Ability to reason from first principles and solve unfamiliar technical problems rather than relying solely on frameworks or tools

  • Strong communication skills and experience working directly with technical and business stakeholders

  • Ability to balance hands‑on delivery with technical guidance and solution design


Nice-to-Haves

  • Experience with RAG, semantic search, embeddings, vector databases, or other retrieval-based AI architectures

  • Experience building agentic or multi‑step LLM workflows

  • Familiarity with structured LLM outputs, tool calling, and schema‑driven application patterns

  • Experience with AI evaluation, experimentation, or observability platforms

  • Experience with Microsoft Azure AI Foundry, Microsoft Fabric, Databricks, or similar enterprise platforms

  • Experience with cloud infrastructure, containerisation, and production deployment of Python services

  • Familiarity with modern Python frameworks and tooling for APIs, data validation, testing, and dependency management

  • Experience integrating AI applications with enterprise data platforms and semantic layers

  • Exposure to consulting, financial services, manufacturing, or other enterprise environments

  • Experience supporting production applications used by external clients or business‑critical teams


About Us

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world.


Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.


Our operations are driven by a strong business vision, a people‑first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.


To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice

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