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AI Context Developer Indiana

RADcube - A NLogix Company

Job Location:

Indianapolis, IN - USA

Monthly Salary: Not provided by the employer

Experience Required: 8years

Posted: 6 October 2026 (2 days ago)

Application Deadline: 3 January 2027

Vacancies: 1 Vacancy

Job Summary

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 clients 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.

Required Skills:

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.

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