Jobs · Engineering · New Jersey

AI Engineer

Apetan Consulting LLC · Jersey City, NJ · 1 wk ago
On-siteEngineeringFull-time

About the Role

This role is primarily a 70% hands-on Individual Contributor and 30% technical leadership position. The engineer is expected to design, build, deploy, and optimize enterprise AI solutions while mentoring teams and coordinating with business, product, and engineering stakeholders.

Responsibilities

  • Build GenAI applications using OpenAI, Claude, Gemini, Llama, and AWS Bedrock.
  • Develop RAG solutions, AI Agents, semantic search, prompt engineering frameworks, and MLOps pipelines.
  • Create scalable APIs using Python and FastAPI.
  • Design cloud-native architecture using AWS services and implement CI/CD automation.
  • Lead Infrastructure as Code implementations using Terraform and CloudFormation.
  • Build automated deployment pipelines using Git-based workflows, CI/CD, containerization, Kubernetes orchestration, monitoring, logging, and governance controls.
  • Provide architectural guidance, mentor engineers, conduct design reviews, support delivery planning, and collaborate with product managers, business stakeholders, compliance teams, and data scientists to deliver enterprise AI initiatives.

Skills & Qualifications

  • Core Technical Skills: Python, Java, SQL, Scala; OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, RAG, AI Agents; SageMaker, Bedrock, Lambda, ECS, EKS, S3, DynamoDB, Redshift; Databricks, PySpark, Snowflake, Delta Lake, Kafka, Airflow; Docker, Kubernetes, Git, GitHub Actions, Jenkins, Terraform, CloudFormation.
  • Experience: 15+ years of software engineering experience and 5+ years building enterprise AI, Machine Learning, Generative AI, and cloud-native solutions.
  • Preferred Industry Experience: Financial Services, Banking, Payments, Risk Analytics, Regulatory Reporting, Data Governance, and Enterprise Digital Transformation.

Success Profile

A highly technical practitioner capable of independently delivering AI solutions from concept to production while influencing architecture, standards, and engineering excellence across teams.

Location: Charlotte, NC | Interview Mode: 2 virtual rounds including coding (CLI/Terminal, within Claude).

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