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# AI Software Engineer

- **Company:** Technogen, Inc.
- **Location:** Austin, TX, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Software Debugging, Distributed Systems, Monitoring of Systems, Python (Programming Language), Open Source Technology, Software Engineering, TypeScript, Google Cloud, Large Language Models, Prompt Engineering, Generative AI, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Machine Learning Operations, Virtual Agents, Docker, Golang, Microservices
- **Published:** July 31, 2026
- **Apply:** https://www.dice.com/job-detail/0c2fa685-9c36-4968-82d0-012bd441431f

## About the Role

We are seeking an experienced AI Software Engineer to join a team building next-generation AI-powered applications and platforms. This role is ideal for engineers who combine strong software engineering fundamentals with hands-on experience developing and deploying Generative AI solutions in production environments., * Strong software engineering background with Python, Java, Go, or TypeScript

 * Experience building production-grade AI/GenAI applications
 * Hands-on experience with:
 + OpenAI, Claude, Gemini, Llama, or similar LLMs
 + LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or related frameworks
 + RAG architectures and vector databases (Pinecone, Weaviate, Qdrant, Chroma, Milvus)
 * Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
 * Knowledge of APIs, distributed systems, microservices, and scalable architecture
 * Strong debugging, testing, and code review skills, * AI Agent development and orchestration
 * Prompt engineering and evaluation frameworks
 * LLM observability and monitoring tools
 * MLOps, Kubernetes, Docker, CI/CD, and Infrastructure as Code
 * Experience with enterprise AI deployments and governance

## Description

* Integrate LLMs such as OpenAI, Claude, Gemini, and open-source models into production systems
 * Design APIs, microservices, and cloud-native architectures
 * Implement vector database solutions and knowledge retrieval pipelines
 * Establish monitoring, evaluation, guardrails, and observability for AI systems
 * Collaborate with cross-functional teams to deliver secure, reliable, and scalable solutions


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