AI Context Developer - Indiana

Indianapolis, United States | Posted on 10/05/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.
With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:
Digital Transformation and strategy consulting.
Custom Software Development tailored to specific business needs.
Advanced Data Analytics and AI-driven platforms.
Cybersecurity and risk management.
Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.
The company’s commitment to innovation has earned significant industry honors:
2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.
Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job Description

AI Context Developer

Location: Indianapolis, IN

Work Arrangement: Onsite/hybrid, client facing

Local candidates only

Position Overview

We are seeking hands on GenAI engineers to develop enterprise AI applications that securely use organizational data, documents, knowledge, and business context for our client. The developer will build context and retrieval layers that enable LLMs and AI agents to produce grounded, relevant responses within enterprise workflows. This role supports one of our client's business units, with potential to expand.

Key Responsibilities

• Build LLM applications, RAG pipelines, and agentic workflows.


• Build document ingestion, chunking, embeddings, and vector search.


• Implement retrieval and reranking, and design prompt and context engineering strategies.


• Build APIs and microservices that serve AI capabilities.


• Evaluate and monitor output quality, accuracy, and grounding.


• Apply enterprise security and governance controls to AI solutions.


• Meet business teams to identify what additional enterprise knowledge or data could enable new AI use cases.


• Contribute to the growth of the overall engagement.

Requirements

Required Qualifications

• Strong Python and LLM application development experience.


• RAG, embeddings, and vector search or vector databases.


• Prompt and context engineering.


• Document ingestion, chunking, retrieval, and reranking.


• APIs and microservices.


• LLM evaluation and agentic workflows.


• Comfortable meeting business teams and explaining AI solutions clearly.


• Must be local to Indianapolis, IN and able to work onsite.

Strongly Preferred

• Databricks, MLflow


• NVIDIA AI ecosystem


• LangChain, LangGraph, or LlamaIndex


• Knowledge graphs


• Enterprise security and governance


• Model serving and cloud AI platforms


• Regulated healthcare or pharma experience

Ideal Candidate

A technically strong, business aware GenAI builder who delivers grounded enterprise AI solutions and spots new ways AI can add value.