Tundra Technical Solutions

AI DevSecOps Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI DevSecOps Engineer on a 6-12 month W2 contract, paying competitive rates, hybrid in Iselin, NJ. Key skills include Python, Generative AI, chatbot development, and experience with neural networks; financial services background preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
795
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πŸ—“οΈ - Date
October 1, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Neural Networks #ML (Machine Learning) #Programming #AI (Artificial Intelligence) #DevSecOps #Python #Compliance #Scala #Security
Role description
This role gives you the chance to join a Fortune 100 company with over a century of trust and stability, while working on cutting-edge AI technologies that are shaping the future of fintech. As an AI DevSecOps Engineer, you won’t just maintain systems you’ll build them from the ground up: intelligent chatbots, advanced neural networks, and next-gen platforms like MCP Server, a technology so new that only a handful of professionals in the world have real experience with it. Job Title: AI DevSecOps Engineer Employment Type: W2 Contract (U.S. Citizens & Green Card Holders Only) Duration: 6–12 months with potential extension Location: Hybrid – 3 days onsite (Iselin, NJ preferred | Charlotte, NC | NYC if open to NJ commute) Job Description: We are seeking an experienced AI DevSecOps Engineer with strong hands-on expertise in Python, Generative AI, Chatbots, Neural Networks, and LLMs. The ideal candidate has built AI chatbot solutions end-to-end, not just supported projects, and is comfortable working with emerging technologies like MCP Server. This is an exciting opportunity to work on customer-facing AI solutions in the financial services sector, driving innovation and impact. Responsibilities: β€’ Design, develop, and deploy AI-driven chatbots from scratch. β€’ Write production-ready Python code for AI/ML pipelines and integrations. β€’ Build and fine-tune LLMs and neural networks for conversational AI. β€’ Ensure security, scalability, and compliance of deployed solutions. β€’ Work with MCP Server and explore other emerging platforms. β€’ Collaborate with cross-functional teams in a hybrid work environment. Required Skills: β€’ Proven Python programming experience (must have written production-level code). β€’ Strong background in Generative AI, LLMs, and chatbot development. β€’ End-to-end project ownership (design β†’ build β†’ deploy). β€’ Familiarity with neural network frameworks. β€’ MCP Server experience a plus (or ability to quickly learn). β€’ Financial services background is a plus.