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# Senior AI Solution Engineer - LLM & RAG

- **Company:** Artmac Soft LLC
- **Location:** Prosper, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Information Retrieval, Python (Programming Language), NoSQL, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Git, AI Platforms, Kubernetes, Restful APIs, GPT, Docker
- **Published:** September 17, 2026
- **Apply:** https://www.careerjet.com/jobad/usd0414abc6b817300faba584023bf6ae6

## About the Role

* 8+ years of software engineering / AI engineering experience.
 * Strong hands-on experience with Python.
 * Experience working with LLM APIs such as OpenAI-compatible APIs, Azure OpenAI, Anthropic, Gemini, or similar platforms.
 * Experience with AI/LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent.
 * Experience developing AI prototypes and converting successful POCs into production-ready solutions.
 * Experience with LLM evaluation, observability, and guardrails.
 * Knowledge of Docker, Kubernetes, CI/CD, Git, and cloud platforms.
 * Experience integrating AI solutions with SQL/NoSQL databases, enterprise applications, CRM, ERP, or business platforms
 * Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or other enterprise AI platforms.
 * Strong understanding of Retrieval-Augmented Generation (RAG) architectures and implementation.
 * Experience building and consuming REST APIs and enterprise integrations.
 * Experience with vector databases/search technologies such as Pinecone, Weaviate, Qdrant, FAISS, Azure AI Search, or equivalent.
 * Strong understanding of embeddings, semantic search, document processing, and information retrieval.
 * Knowledge of AI agents, tool calling, function calling, and multi-agent architectures., Bachelor's degree or equivalent combination of education and experience.

## Description

* Build scalable solutions using Python, LLM APIs, REST APIs, and enterprise integrations.
 * Develop RAG pipelines including document ingestion, chunking, embeddings, vector search, retrieval, reranking, and response generation.
 * Integrate LLM solutions with enterprise applications, databases, APIs, and external systems.
 * Evaluate and select appropriate LLMs, models, embedding technologies, and AI frameworks based on business requirements.
 * Develop proofs of concept (POCs), prototypes, demos, and minimum viable solutions for new AI use cases.
 * Translate business requirements into technical designs and working AI solutions.
 * Collaborate with clients, product teams, architects, developers, and business stakeholders to understand challenges and define AI-driven solutions.
 * Troubleshoot and optimize AI applications for accuracy, performance, scalability, latency, and cost.


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