HYBRID || AI ENGINEER || AUSTIN TX
Jobs via Dice · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Job highlights
- Develop AI agents with reasoning and tool usage capabilities.
- Implement and fine-tune Retrieval-Augmented Generation (RAG) pipelines.
- Integrate agentic workflows using APIs and vector stores.
- Utilize Cursor AI for agent application development.
- Build scalable APIs for AI model access and orchestration.
About the role
AI Engineer
Jobs via Dice is seeking an AI Engineer for their client, Techridge, Inc.
About the Role
We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows, and platforms such as Cursor AI. The ideal candidate will have a strong developer mindset and expertise in integrating APIs and building intelligent systems that can reason, act, and interact across tools and data sources.
Key Responsibilities:
- Design, develop, and optimize AI agents capable of reasoning, decision-making, and tool usage
- Implement and fine-tune RAG pipelines for contextual knowledge integration
- Develop, integrate, and manage agentic workflows across APIs, vector stores, and third-party tools
- Leverage Cursor AI and similar platforms to prototype and deploy agent-based applications
- Collaborate with product teams to implement AI-driven features with seamless developer experience
- Build scalable APIs for model access, integration, and service orchestration
- Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling
Required Skills & Qualifications:
- Strong programming skills in Python or equivalent (Go/Node.js is a plus)
- Experience in developing autonomous agents and agentic workflows using frameworks like LangChain, AutoGen, or similar
- Hands-on with Cursor AI for development, debugging, and agent orchestration
- Experience building and consuming RESTful APIs
- Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning
- Experience with prompt engineering, tool calling, and multi-agent collaboration setups
- Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks
Key skills/competency
- AI Engineer
- Agent Development
- Retrieval-Augmented Generation (RAG)
- Agentic Workflows
- Cursor AI
- API Integration
- Python
- LangChain
- LLMs
- Prompt Engineering
Skills & topics
- AI Engineer
- Artificial Intelligence
- Machine Learning
- Agent Development
- RAG
- Retrieval-Augmented Generation
- Agentic Workflows
- Cursor AI
- Python
- API Integration
- LLM
- LangChain
- AutoGen
- Vector Stores
- Prompt Engineering
- Hybrid
- Austin
How to get hired
- Tailor your resume: Highlight AI engineering, RAG, agent development, and Cursor AI experience.
- Showcase your projects: Include a portfolio demonstrating autonomous agents and API integrations.
- Prepare for technical interviews: Brush up on Python, LLMs, RAG, and agent frameworks.
- Ask insightful questions: Inquire about team structure, AI strategy, and tooling at Techridge, Inc.
- Apply promptly: Submit your application via Dice to ensure visibility.
Technical preparation
Master Python for AI agent development.,Implement RAG pipelines with vector stores.,Build and integrate APIs for AI systems.,Practice with Cursor AI and agent frameworks.
Behavioral questions
Describe a complex AI problem you solved.,How do you handle rapidly evolving AI tech?,Explain a time you collaborated on AI features.,How do you ensure AI system scalability?
Frequently asked questions
- What specific AI development tools are most important for this AI Engineer role at Techridge, Inc.?
- For this AI Engineer position, hands-on experience with agent development, Retrieval-Augmented Generation (RAG), agentic workflows, and platforms like Cursor AI are critical. Proficiency in Python and familiarity with frameworks such as LangChain or AutoGen are also highly valued.
- How does the hybrid work arrangement for the AI Engineer role in Austin function?
- The AI Engineer role in Austin operates on a hybrid model. This typically means a combination of remote work and in-office days, offering flexibility while maintaining team collaboration. Specific schedules will be discussed during the hiring process.
- What kind of technical challenges can an AI Engineer expect at Techridge, Inc.?
- As an AI Engineer, you can expect to design and optimize AI agents, implement RAG pipelines, develop agentic workflows, and build scalable APIs for AI model access. You will also collaborate on integrating AI-driven features and stay abreast of the latest LLM advancements.
- Is experience with specific vector stores required for the AI Engineer position?
- While not strictly limited to one, proficiency in RAG architectures implies experience with various vector stores like FAISS, Pinecone, or Weaviate. Familiarity with embedding models and retrieval tuning is also a key aspect of this role.
- What is the role of API integration in this AI Engineer job?
- API integration is central to this AI Engineer role. You will be responsible for building and consuming RESTful APIs, integrating them into agentic workflows, and creating scalable APIs for model access and service orchestration.
- How can I best demonstrate my suitability for the AI Engineer role during the application process?
- To stand out for the AI Engineer role, tailor your resume to highlight direct experience with agent development, RAG, and Cursor AI. Providing a portfolio of relevant projects showcasing your ability to build intelligent systems and integrate APIs will be highly beneficial.