Design, develop, and deploy AI/ML models and pipelines. Train, fine-tune, and monitor models using TensorFlow/PyTorch/Scikit-learn. Build APIs/microservices, integrate models into production, collaborate with cross-functional teams, and ensure scalability and reliability.
This is a remote position.
Who We Are:
At Advancio, we are passionate about technology and its ability to transform the world. We are rapidly expanding and building a company where we serve exceptional businesses, hire top talent, and have a lot of fun doing what we love!
Job Summary:
We are seeking a talented AI Developer to design, develop, and deploy intelligent solutions that solve complex problems. The ideal candidate has hands-on experience with machine learning frameworks, AI algorithms, and integrating AI models into scalable applications.
Requirements
- Develop and implement AI and machine learning models to solve specific business challenges.
- Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.
- Train, fine-tune, and deploy models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Design and optimize AI pipelines for data preprocessing, model training, and deployment.
- Build and maintain APIs or microservices to integrate AI solutions into existing applications.
- Monitor and evaluate the performance of deployed models, ensuring scalability and reliability.
- Stay updated with the latest advancements in AI/ML technologies and best practices.
Qualifications:
- 4+ years of professional experience in AI/ML development.
- Advanced English communication skills, both written and verbal.
- Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn.
- Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Experience in data preprocessing, feature engineering, and working with large datasets.
- Knowledge of cloud platforms (Azure, AWS, or GCP) and deploying AI models in production.
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
- Strong understanding of algorithms, data structures, and mathematics behind AI models.
Similar Jobs
Real Estate • Sales • Software • PropTech
Design and implement multi-step agentic AI workflows (orchestration, retrieval, tool use, state management) using frameworks like LangGraph/LangChain. Build retrieval pipelines over proprietary CRE data, evaluate and monitor model quality with human-in-the-loop processes, integrate Anthropic models on AWS Bedrock, implement guardrails and observability, and rapidly prototype features with Product and Design to deliver trustworthy, source-linked AI capabilities that perform real business actions.
Top Skills:
Anthropic ModelsAws BedrockBedrock AgentcoreCi/CdClaude CodeCodexEmbeddingsGitGitlabLangchainLanggraphPythonRagVector Search
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead technical customer engagements to design, integrate, and launch AI-driven solutions on the Moveworks Platform. Build secure integrations (APIs, iPaaS, serverless), advise on agentic AI roadmaps, drive adoption across enterprise customers, and feed product/engineering with field feedback. Travel to customer sites up to 25% and generalize solutions into reusable templates.
Top Skills:
Aws LambdaAzure FunctionsContext EngineeringData ModelingGoJavaScriptLarge Language ModelsMoveworks PlatformPrompt EngineeringPythonRest ApisServicenow Flow DesignerWorkato
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate production AI and data systems for marketing: LLM/agent orchestration, retrieval pipelines, data pipelines, CDP and warehouse architecture, automation of manual workflows, data quality and reliability, stakeholder collaboration, and mentoring. Ship production-grade Python and SQL solutions and evaluate/monitor AI systems.
Top Skills:
Agent OrchestrationAPIsBigQueryClaude CodeCursorCustomer Data Platform (Cdp)Data WarehouseDatabricksDbtEltETLHightouchLlmsMarketing AutomationPythonRetrieval PipelinesSalesforceSegmentSnowflakeSQLWeb Analytics
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
