Java AI Engineer - Strong in Java coding, Python, GitHub Copilot and application modernization experience

Smart IT Frame LLC; Austin (TX); Híbrido; USD 165 000 - 234 000; Tempo parcial

Resumo da oferta

Smart IT Frame LLC in Austin is seeking a Java AI Engineer with strong Java coding, Python, GitHub Copilot and application modernization experience to design scalable agentic systems in enterprise environments.

You will work onsite or hybrid (3 days) on architecture, RAG, LLM integration, and cloud AI platforms, leveraging Redis, Ignite, Solr/Lucene and LangChain frameworks to deliver robust, production-grade solutions.

Qualificações

• Experience building scalable agentic systems in enterprise environments.
• Proficient in Java and Python with code intelligence integration.
• Strong understanding of API token management and caching.
• Familiarity with cloud AI platforms (Bedrock or equivalent).

Responsabilidades

• Hands-on experience with Java and Python on agentic platforms.
• Implement RAG and graph databases with LLM integrations.
• Optimize caching with Redis and Apache Ignite.
• Tackle API token management optimization.
• Evaluate Solr/Lucene for search capabilities.
• Contribute to architectural design and implementation detail.

Conhecimentos

Java

Python

GitHub Copilot

Prompt Engineering

Agentic Platforms

RAGGraphDB

LLMs

Caching

Ferramentas

Redis

Apache Ignite

Solr Lucene

GitHub Copilot SDK

Bedrock

Descrição da oferta de emprego

Job Title: Java AI Engineer - Strong in Java coding, Python, GitHub Copilot and application modernization experience

Location: Austin - Texas (Onsite/ Hybrid - 3 days)

Employment Type: Contract

About Smart IT Frame:

At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.

Job Summary:

The ideal candidate has proven experience building scalable agentic systems in enterprise environments not just experimental or IDEbased solutions and can design systems that integrate business context code intelligence and humanintheloop workflows.

Responsibilities:

• Strong handson experience in
• Java Python add on Agentic Platforms RAGGraphDB LLMs
• Caching near and distributed Redis Apache Ignite etc
• API Token management optimization techniques is a plus
• Experience with SOLR Lucene or equivalent is a plus
• Google Cloud Experience is a plus
• Enough engineering depth to contribute meaningfully to implementation and technical design

Frameworks Platforms:

• Experience with one or more of the following is important
• LangGraph
• LangChain
• GitHub Copilot SDK or similar
• Managed cloud AI platforms such as Bedrock or similar offerings

Mandatory Skills: Application Architecture, Architecture Patterns and Styles, GitHub Co-Pilot, Java, Prompt Engineering