Senior AI & Data Engineer: Python, APIs, Scalable Analytics

SIDRAM TECHNOLOGIES; New Jersey; On-site; USD 150,000 - 230,000; Full time

Job summary

SIDRAM TECHNOLOGIES is hiring an AI Engineer / Data Engineer to design, build and deploy Python-based AI/LLM applications for Citi Bank in Jersey City, NJ. The role focuses on creating REST APIs, scalable enterprise solutions, and AI-powered data analytics while optimizing data pipelines for performance.

The candidate will lead architecture discussions, mentor engineers, and collaborate with Risk stakeholders to deliver AI-driven solutions.

Qualifications

• 10+ years of software engineering experience.
• Experience in Python development with FastAPI or Flask.
• Experience with SQL, data modeling and data engineering.
• Strong knowledge of concurrency, async programming and performance optimization.
• Experience with testing, production support and reliability engineering.
• Experience in architecture design and technical leadership.

Responsibilities

• Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
• Develop REST APIs and scalable enterprise solutions.
• Build AI-powered data analytics and self-service platforms.
• Optimize data pipelines for performance and scalability.
• Partner with Risk stakeholders to deliver AI-driven solutions.
• Provide technical leadership, architecture guidance, and mentorship.

Skills

Python development

AI/LLM application development

SQL & Data Modeling

Concurrency & Async

Testing & Reliability

Architecture & Leadership

Education

Bachelor's/Master's in CS or equivalent

Tools

Docker

Kubernetes

Kafka

Redis

OpenTelemetry

Grafana

Prometheus

Jenkins

GitHub Actions

Job description

SIDRAM TECHNOLOGIES is hiring an AI Engineer / Data Engineer to design, build and deploy Python-based AI/LLM applications for Citi Bank in Jersey City, NJ. The role focuses on creating REST APIs, scalable enterprise solutions, and AI-powered data analytics while optimizing data pipelines for performance.

The candidate will lead architecture discussions, mentor engineers, and collaborate with Risk stakeholders to deliver AI-driven solutions.