Build and deploy generative AI solutions: develop production-grade Python code, LLM-based systems, agent frameworks, RAG pipelines with vector databases, APIs, cloud deployments, and MLOps practices while ensuring model evaluation, guardrails, and observability.
Core Skill Set:
- Python (advanced, production-grade coding)
- Generative AI (LLMs, prompt engineering, fine-tuning, RAG)
- Agent development using frameworks such as ADK, LangGraph, LangChain
Additional Relevant Skills:
- Experience building end-to-end AI applications (design → deploy → scale)
- Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS)
- API development and integration (FastAPI, REST, microservices)
- Cloud platforms: AWS / Azure / GCP (especially AI/ML services)
- Model evaluation, guardrails, and Responsible AI practices
- Experimentation frameworks, prompt/version management, and observability
- Working knowledge of data pipelines and engineering (ETL, streaming)
- Familiarity with MLOps / LLMOps (CI/CD for models, monitoring, retraining)
- Strong problem-solving with ability to translate business use cases into AI solutions
Compensation, Benefits and Duration
Minimum Compensation: USD 35,000
Maximum Compensation: USD 123,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Agency • Information Technology
Design, build, and deploy production-grade Generative AI applications: multi-agent systems, advanced RAG pipelines, LLM integration and swapping, model fine-tuning and quantization, scalable FastAPI backends, containerized deployment, and monitoring/optimization for latency, cost, and reliability.
Top Skills:
Async PythonCi/Cd For MlClaudeDockerEmbedding ModelsFastapiGeminiHugging FaceLangchainLanggraphLlamaLlamaindexLlm MonitoringLlm QuantizationLocal Llm DeploymentModel Fine-TuningMulti-Agent SystemsOpenaiPostgresPrompt EngineeringPythonPyTorchTensorFlowVector DatabasesVector Search
Cloud • Information Technology • Security • Software • Cybersecurity
Lead and establish Business Operations for global Customer Success (Support, Technical Success, Professional Services). Build operating model, manage planning and P&L, drive headcount and budget planning, define KPIs and dashboards, run business cadences (MBR/QBR/AOP), and partner with Finance and cross-functional stakeholders to improve resource management and operational efficiency.
Top Skills:
Ai Tools
Information Technology
Implement and operationalize Managed Services for Government Cloud customers across Azure Government, Azure GCC High, AWS GovCloud or Google Assured Workloads. Design secure landing zones, automation, monitoring, governance, and operational runbooks; support onboarding, transitions, compliance (FedRAMP, NIST, CMMC, etc.), incident handling, and production handoff. Collaborate with architects, security, PMs, and Managed Operations; mentor junior engineers and contribute to standards and reusable automation.
Top Skills:
AutomationAws GovcloudAzure Gcc HighAzure GovernmentBackupCjisCloud GovernanceCloud Management PlatformsCmmcConfiguration ManagementDhcpDisaster RecoveryDnsEncryptionFedrampFirewallsGoogle Cloud Assured WorkloadsIdentityInfrastructure As CodeItarItsmLoad BalancingLoggingMonitoringNetworkingNist 800-53ObservabilityOrchestrationRoutingRunbooksScriptingSegmentationTemplatesVpnVulnerability Management
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
