Drillo.AI

GenAI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior GenAI Engineer in Jersey City, NJ, on a contract basis for over 6 months, paying W2 only. Requires 8+ years in software engineering, strong Python skills, and expertise in LLMs and RAG pipelines.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 30, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Programming #Python #Databases #GCP (Google Cloud Platform) #Hugging Face #AI (Artificial Intelligence) #ML (Machine Learning) #Kubernetes #AWS (Amazon Web Services) #API (Application Programming Interface) #Docker #Security #Scala #SQL (Structured Query Language) #Azure #NoSQL #Deployment #Automation #Cloud #Langchain
Role description
Job Title: Senior Gen AI Engineer Location: Jersey City, NJ (Onsite 5 days/week) In person Interview Employment Type: Contract/Fulltime Eligibility: ONLY USC, GC, (W2 role – No C2C) Experience Required β€’ 8+ years of professional software engineering experience β€’ Strong expertise in Python coding (production-grade systems) β€’ Proven track record in building AI agents and automation workflows β€’ Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines β€’ Deep understanding of Large Language Models (LLMs), fine-tuning, and deployment Key Responsibilities β€’ Design, develop, and deploy GenAI-powered applications leveraging LLMs and agent frameworks β€’ Architect and implement RAG pipelines for enterprise-scale knowledge retrieval and contextual AI responses β€’ Build and optimize autonomous agents for task execution, workflow orchestration, and decision-making β€’ Collaborate with product, data, and research teams to integrate AI solutions into business platforms β€’ Ensure scalability, performance, and security of AI-driven systems in production environments β€’ Stay updated with emerging GenAI frameworks, tools, and best practices Technical Skills β€’ Programming: Python (advanced), familiarity with distributed systems β€’ AI/ML: LLMs (OpenAI, Anthropic, Hugging Face, etc.), RAG frameworks, vector databases (Pinecone, Weaviate, FAISS) β€’ Tools/Frameworks: LangChain, LlamaIndex, Agent orchestration frameworks β€’ Cloud Platforms: AWS, Azure, or GCP (AI/ML services) β€’ Databases: SQL/NoSQL, vector DBs β€’ Other: API development, containerization (Docker/Kubernetes), CI/CD