GenAI Technical Lead | Only W2 | Remote

  • Posted 8 hours ago | Updated 8 hours ago

Overview

Remote
Depends on Experience
Contract - W2

Skills

Generative AI
AI/ML
Google Cloud Platform (GCP)
Artificial Intelligence

Job Details

Position: GenAI Technical Lead

Location: 100% Remote (EST time zone)

Contract Duration: Contract To Hire (Must be willing to convert fulltime after 6 months)

Only W2

Summary:

  • This role requires a blend of deep technical expertise in AI/ML and cloud engineering with the leadership skills to influence solution design, mentor peers, and drive innovation. The Tech Lead will play a key role in migrating existing ML models to Generative AI, orchestrating autonomous agents, and delivering production-ready systems in a fast-moving environment.

Qualifications:

  • AI Expertise: 6+ years hands-on experience in Artificial Intelligence with a portfolio of innovative, technically complex projects.
  • Software Engineering: Minimum 2 years of experience building, deploying, and owning production systems.
  • Cloud Proficiency: Advanced skills in Microsoft Azure and/or Google Cloud Platform (Google Cloud Platform); strong ability to deploy, scale, and automate cloud-native solutions.
  • Web Frameworks: Expert in FastAPI and modern web frameworks, architecting high-performance asynchronous services.
  • Generative AI: Experience migrating traditional ML models to GenAI, including work with multimodal LLMs, SLMs, and BERT.
  • Agentic AI: Proficient in designing, building, and orchestrating agent-based automation systems.
  • Vector Databases: Production-grade experience with FAISS, Pinecone, or AzureAISearch; expertise in embeddings at scale.
  • Programming: Strong Python skills.
  • APIs & Pipelines: Deep experience designing and building REST, async, and streaming APIs and data pipelines.
  • Algorithm Optimization: Skilled in testing, validating, and tuning algorithms for reliability and performance.
  • Data Preparation: Advanced preprocessing and feature engineering with unstructured and complex data.
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