Design, develop, deploy, and optimize enterprise-grade Generative AI solutions, intelligent agents, and AI-powered applications using advanced AI frameworks.
Compensation
$40.00 - $37.00/Hour on W2 (Without Benefits)
Responsibilities
Develop, maintain, and deploy AI applications using Python.
Design and implement chain-of-thought prompt pipelines utilizing LangChain for modular, scalable AI workflows.
Build and integrate knowledge graphs with LangGraph to improve data connectivity and reasoning.
Design, build, and deploy AI applications leveraging LLMs such as GPT, Claude, Gemini, Llama, and other foundation models.
Develop Agentic AI solutions capable of autonomous reasoning, planning, tool execution, and decision-making.
Develop, maintain, and optimize Python pipelines for data ingestion, OCR processing, text extraction, cleaning, normalization, and deduplication.
Run and monitor large-scale batch processing jobs, investigate failures, and implement reliable retry and recovery mechanisms.
Build automated quality checks to identify missing or corrupted files, incomplete OCR outputs, duplicate content, formatting issues, and metadata inconsistencies.
Prepare training-ready datasets through filtering, text segmentation, tokenization, and conversion into agreed data formats.
Manage bulk uploads, downloads, and synchronization between local processing environments and Azure storage; verify transfer completeness and data integrity.
Provide L3 production support for mission‑critical applications and services, monitor health, analyze logs and traces, lead incident management, develop automation, and drive SRE best practices.
Compensation
Pay Rate: $45-$50/hr on W2
Responsibilities
Provide L3 production support for mission‑critical applications and services.
Monitor application health, infrastructure performance, and business transactions using Dynatrace and Splunk.
Analyze distributed traces, service flows, logs, metrics, and dependencies to identify and resolve production issues.
Lead and support Major Incident Management (MIM) activities, including Sev‑1 and Sev‑2 incidents.
Conduct thorough Root Cause Analysis (RCA) and implement preventive measures to avoid recurring issues.
Design, provision, and manage AWS infrastructure supporting production and non-production database environments.
Locations (2)
Sunnyvale, California, United States
Austin, Texas, United States
Compensation
Pay Range: $55-60/Hour on W2/C2C (All Inclusive)
Responsibilities
Design, provision, and manage AWS infrastructure supporting production and non-production database environments.
Build and maintain CI/CD pipelines for database deployments, schema migrations, and configuration management using tools like Jenkins, GitLab CI, CodePipeline, or similar.
Automate infrastructure provisioning using Infrastructure-as-Code (Terraform, CloudFormation, or AWS CDK).
Develop and maintain monitoring, alerting, and observability solutions for database health using tools such as CloudWatch, Prometheus, Grafana, Datadog, or OEM.
Collaborate with DBAs to automate routine database operations: backups, patching, failover/switchover, replication setup (Data Guard, GoldenGate, native replication), and capacity planning.
Analyze customer, dealer, product, and support data to identify customer challenges, test business hypotheses, and deliver actionable, evidence-based insights to improve customer experience and business decisions.
Responsibilities
Translate business questions into analytical approaches and test hypotheses using data.
Analyze customer, dealer, product, and support data to identify trends, relationships, and customer pain points.
Build dashboards, reports, visualizations, and clear data-driven recommendations.
Validate data accuracy, definitions, assumptions, and findings with stakeholders.
Manage analytical requests, communicate progress, and document repeatable workflows.
Requirements
Bachelor's degree or equivalent relevant experience