New

Gen AI Engineer (W2 Only / No C2C)

TEKsystems
$70.00 - $85.00 / hr
life insurance, sick time, 401(k), retirement plan
United States, North Carolina, Charlotte
Apr 12, 2025
This is a long term W2 GenAI Engineer (must be able to work on a w2 basis with no sponsorship). This will be a hybrid role in Iselin NJ, Charlotte NC, or Chandler AZ. Hourly pay is based on location and experience, please apply accordingly (3-4 open roles). Project: Our financial services client has a new greenfield initiative for their contact center to leverage Generative AI agents that will handle customer inquiries, provide quick resolutions, and escalate more complex problems to human customer support only when necessary. Must have enterprise level experience building GenAI agents at scale. You will be developing this solution based on multi-agent architecture with distributed processing, parallel execution, orchestration, and task routing. Preference for experience with GCP's Google Conversation Platform (Playbooks, Vertex AI Agent Builder, etc) but open to any similar cloud offering (aws or azure). Key responsibilities include: Building, deploying, and integrating AI Agents (GenAi/Synthetic Agents) esp. on Google Conversational Platform using playbooks Orchestration with Multiple GenAI Agents using LangGraph , LangChain (with ReACT ) and LLM tooling (Python) Using massive scale, low latency, real time architecture implementations: Focus on eventing and extending conversational context (Big Table, Time series, Pub/sub or Kafka ML framework, LLM, NLP, MLOps experience Proven experience in combating hallucination running all the time (not just 1 time exercise), Implementation of guard rails, supervisor and observability with explanation/transparency for GenAI Responsible AI (RAI) Implementation at scale for regulated industries like Fintech Cost Optimization of genai solutions with hybrid solutions (deterministic versus probabilistic) Integration with GCP Cloud native Microservice, event driven technology stack ( Big Table, pub/sub. alloyDB) Top Skills GCP, machine learning, python, Artificial intelligence, langchain, langgraph, kafka, LLM Additional Skills & Qualifications Experience with API integrations and greenfield applications. Understanding of machine learning concepts, fallback mechanisms, intent recognition, and dialogue flow. Familiarity with contact centers in the financial industry is a plus. Pay and Benefits* The pay range for this position is $70.00 - $85.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Charlotte,NC. Application Deadline This position is anticipated to close on Apr 25, 2025. About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.