Top Tech Jobs & Startup Jobs in Austin, TX

Design and implement scalable full-stack solutions using .NET and React. Lead architecture, cloud migration (AWS/Azure), microservices, and API development. Mentor developers, perform code reviews, resolve production issues, manage client interactions, and drive delivery with a focus on performance, security, and multi-tenant SQL Server architectures.

Design and build API-first, distributed full-stack applications integrating LLMs, RAG, and multi-agent workflows. Implement microservices, real-time features, observability, CI/CD, and cloud-native deployments while mentoring engineers and ensuring scalable, production-grade systems.

Lead development and maintenance of internal Python SDK frameworks and agentic workflows, build scalable FastAPI-based ML APIs, automate CI/CD with Jenkins and GitLab Runners, use Galileo for model evaluation and observability, and collaborate across teams to deliver production-grade autonomous systems.

Architect and implement MLOps strategies, design ML pipelines, mentor teams, and ensure compliance on Google Cloud, focusing on AI/ML best practices.

Design and deploy scalable GenAI and NLP solutions on AWS, architect agentic AI systems, fine-tune and evaluate LLMs (LLama2), implement model orchestration and context management, integrate vector stores and APIs, and collaborate with cross-functional teams to deliver production-grade ML services.

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

Design and scale GenAI/LLM infrastructure for multi-GPU environments. Perform GPU profiling and optimization, manage Slurm/OpenShift/Kubernetes clusters, enable NVIDIA GPU stack, build IaC templates, CI/CD automation, and support production deployments and client engagements for GenAI workloads.

Lead cloud migration and platform engineering efforts, designing AWS architectures and migration plans from on-prem VMware to AWS. Perform migration assessments, tooling selection, wave planning, dependency analysis, security/compliance alignment, OS and database troubleshooting, and optimize post-migration performance while collaborating with stakeholders and platform teams.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Seeking a Senior Data Scientist to lead predictive analytics and machine learning initiatives. Responsibilities include building ML models, data management, and mentoring junior data scientists. Must have expertise in AWS and strong statistical knowledge.