Artificial Intelligence Engineer

About IncedoIncedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology. We serve clients across 5 key industries - Banking & Payments, Wealth Management, Telecom, Hi-Tech and Life Sciences.Incedo delivers ROI from AI @ Scale by leveraging the ‘Power of 3’:Deep domain expertise: Deep understanding of industries with an ability to identify and solve specific business problems.AI & Data: Integration of Data and AI capabilities with business priorities to deliver impact and ROIEngineering & Operations: Excellence for building digital platforms, driving modernization, integration, and tech operations.Core principles that define the DNA of Incedo are:Business outcome focus: Drive measurable business outcomes by developing a client-first view prioritized against quantifiable business KPI-driven programs.Business and technology intersection: Bring together deep domain, AI, data, and engineering capabilities.Build for the long-term: Enable sustained growth by building long-term client relationships with Fortune 500 companies and senior client stakeholders.Integrated platform and services: Provide a comprehensive offering of the payables IncedoPay platform and Incedo Lighthouse™ solving specific business problems.Cross-functional ‘one’ team: Align multidisciplinary teams including domain, design, data, engineering, and business operations to work towards a collective goal.With a team of 4,500+ professionals, we have offices across the U.S., Mexico, Canada, and India.Job Summary:We are seeking a highly skilled AI Engineer with strong expertise in Python, Google Cloud Platform (GCP), and Generative AI to design and build next-generation AI-powered applications. The ideal candidate will have hands-on experience with LangGraph, Vertex AI, and modern LLM frameworks to develop scalable, production-grade AI solutions.Key Responsibilities:Design, develop, and deploy Generative AI applications using LLMs and agent-based architecturesBuild and orchestrate workflows using LangGraph / LangChain for complex AI use casesDevelop scalable backend systems using PythonLeverage GCP services, especially Vertex AI, for model training, deployment, and monitoringIntegrate LLMs (OpenAI, Gemini, open-source models) into enterprise applicationsImplement RAG (Retrieval-Augmented Generation) pipelines using vector databasesOptimize model performance, latency, and cost in production environmentsCollaborate with data engineers, data scientists, and product teamsEnsure security, governance, and responsible AI practicesRequired Skills & Qualifications:5+ years of experience in Python developmentHands-on experience with Google Cloud Platform (GCP)Strong expertise in Vertex AI (model deployment, pipelines, endpoints)Experience with LangGraph / LangChain for AI workflow orchestrationSolid understanding of Generative AI, LLMs, and prompt engineeringExperience building RAG pipelines and working with vector databases (Pinecone, FAISS, etc.)Knowledge of REST APIs, microservices, and distributed systemsStrong problem-solving and debugging skills