GenAI Software Engineer

Location: Charlotte, NC
Salary: $80.00 USD Hourly - $85.00 USD Hourly
Description:
Job Title: GenAI Software Engineer
Location: Charlotte, NC; Chandler, AZ; or Jersey City, NJ (Hybrid)
Duration: 12+ Months
Employment Type: W2 (No C2C/CTH)

Job Description:
As a GenAI Software Engineer, you will be responsible for creating GenAI agents for the contact center. This role requires hands-on developers with experience in large-scale deployments within enterprise environments. You will build these agents from scratch, aiming to enhance call handling and task completion. The team seeks individuals who can identify effective solutions, anticipate potential issues, and implement necessary actions.

Key Responsibilities:

• Develop Synthetic Agents: Build agents on the Google Conversational Platform using playbooks.
• Orchestrate Multiple GenAI Agents: Utilize LangGraph, LangChain (with ReACT), and LLM tooling for orchestration.
• Implement Real-Time Architecture: Focus on large-scale, low-latency, real-time architecture implementations, extending conversational context (Big Table, Time series, Pub/Sub, or Kafka).
• ML Framework and MLOps: Apply machine learning frameworks and MLOps practices.
• Combat Hallucination: Continuously address and mitigate hallucination issues.
• Implement Guard Rails and Observability: Ensure transparency and explanation in GenAI operations, with robust guard rails and supervision.
• Responsible AI (RAI): Implement RAI at scale for regulated industries like Fintech.
• Cost Optimization: Optimize GenAI solutions with hybrid approaches (deterministic vs. probabilistic).
• Integrate with Google Cloud Platform: Work with Google Cloud Platform Cloud-native microservices and event-driven technology stacks (Big Table, Pub/Sub, AlloyDB).

Required Qualifications:

• Experience: Proven experience in building and deploying GenAI solutions in enterprise settings.
• Technical Skills: Proficiency in Google Conversational Platform, LangGraph, LangChain, LLM tooling, real-time architecture, ML frameworks, and MLOps.
• Problem-Solving: Ability to identify what works, what doesn't, and potential challenges, with a proactive approach to solutions.

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Contact:

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