About Incedo
Incedo 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 ROI
- Engineering & 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 architectures
- Build and orchestrate workflows using LangGraph / LangChain for complex AI use cases
- Develop scalable backend systems using Python
- Leverage GCP services, especially Vertex AI, for model training, deployment, and monitoring
- Integrate LLMs (OpenAI, Gemini, open-source models) into enterprise applications
- Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases
- Optimize model performance, latency, and cost in production environments
- Collaborate with data engineers, data scientists, and product teams
- Ensure security, governance, and responsible AI practices
Required Skills & Qualifications:
- 5+ years of experience in Python development
- Hands-on experience with Google Cloud Platform (GCP)
- Strong expertise in Vertex AI (model deployment, pipelines, endpoints)
- Experience with LangGraph / LangChain for AI workflow orchestration
- Solid understanding of Generative AI, LLMs, and prompt engineering
- Experience building RAG pipelines and working with vector databases (Pinecone, FAISS, etc.)
- Knowledge of REST APIs, microservices, and distributed systems
- Strong problem-solving and debugging skills
