Generative AI Engineer - W2 Role

Role: Generative AI Engineer - W2 Role

Location: Jersey City, NJ (Onsite)

Minimum Exp: 8+ Years

As a Generative AI Engineer, you ll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You ll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.

Key Responsibilities

• Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks.
• Integrate GenAI models into full-stack applications and internal workflows.
• Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs.
• Build reusable components and services for multi-agent orchestration and task automation.
• Optimize AI inference pipelines for scalability, latency, and cost efficiency.
• Participate in architectural discussions, contributing to the pod s technical roadmap.

Core Skills & Experience

Must Haves

• 7+ years of software engineering experience with at least 3 years in AI/ML or GenAI systems in production
• Hands-on experience with Python only for AI/ML model integration.
• Experience with LLM frameworks (LangChain, LlamaIndex is a must
• Exposure to agentic frameworks (Langgraph, AutoGen, CrewAI is a must
• Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.

Nice-to-Have

• Familiarity with Google Cloud Platform (Google Cloud Platform) especially Vertex AI, Cloud Run, and GKE.
• Experience building AI APIs, embeddings, vector search, and integrating them into applications.
• Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs.
• Exposure to multi-modal AI systems (text, image, or voice).