Platform Engineer/ AI Engineer

Job Title: AI Engineer/ Platform Engineer Experience : 2-5 Years Location : NYC / Dallas

Role Overview We are looking for an

AI DLC-focused Engineer

to drive AI-accelerated adoption. The ideal candidate will have expertise in managing

probabilistic systems , overseeing

AI agents , and building scalable AI-driven solutions. A strong background in

Java/Full Stack development

and

cloud-based services (preferably AWS)

is preferred. Key Responsibilities Drive

AI-native engineering , ensuring systemic oversight and strong operational discipline Move beyond prompt-based solutions to build systems that deliver

relevant, real-time data to AI models , scaling from POC to enterprise-grade production Implement and optimize

Retrieval-Augmented Generation (RAG)

to ground AI models in proprietary and real-time data Debug

non-deterministic failures

and mitigate hallucinations using structured evaluation frameworks Design and develop

AI agent-based systems

capable of autonomous planning, decision-making, and tool usage Translate

ambiguous business requirements

into well-defined technical specifications suitable for AI systems Manage the

expanded security surface

of AI-generated APIs and endpoints, including adversarial testing and ensuring data privacy Lead

AI deployment and scaling strategies , optimizing for latency, cost, and performance across cloud, edge, or hybrid environments Work with and manage

vector databases

for efficient data retrieval Maintain strong

architecture discipline , ensuring clean project structure, version control (Git), and minimizing technical debt in AI-generated code Support

automation, deployment, and monitoring

across the AI system lifecycle Required Skills & Qualifications Strong experience in

Java / Full Stack Development Hands-on experience with

AWS or other cloud platforms Understanding of

probabilistic systems and AI/ML concepts Experience with

RAG frameworks and vector databases Familiarity with

AI agents and LLM-based systems Ability to debug

non-deterministic AI behavior Knowledge of

AI security, adversarial testing, and data privacy Strong grasp of

system design, scalability, and architecture best practices Experience with

Git, CI/CD, and DevOps practices