

Tundra Technical Solutions
AI DevSecOps Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
795
-
ποΈ - Date
October 1, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
New Jersey, United States
-
π§ - 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 wonβt just maintain systems youβll 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: 6β12 months with potential extension
Location: Hybrid β 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.
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 wonβt just maintain systems youβll 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: 6β12 months with potential extension
Location: Hybrid β 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.