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Job description
We are seeking a Senior GenAI Cloud Engineer to build and deploy enterprise-scale AI solutions that drive intelligent automation, conversational experiences, and business process transformation.
This is a hands-on engineering role responsible for designing, developing, and delivering production-grade AI applications using modern cloud architectures, large language models, and agentic AI frameworks.
You will lead the implementation of specific workstreams end to end, mentor less experienced engineers, and contribute to the architecture and standards used by many engineering teams.
The ideal candidate has recent experience building AI agents, chatbots, and RAG-based solutions in enterprise environments.
Key Responsibilities
Develop cloud-native applications and microservices using Python and JavaScript/TypeScript
Build and deploy enterprise AI agents, chatbots, and GenAI-powered applications
Implement data ingestion, document processing, embedding generation, vectorization, and retrieval pipelines
Develop intent classification, orchestration, guardrail, and safety capabilities for AI applications
Integrate LLMs with enterprise systems, APIs, databases, and business workflows
Contribute to system design, testing, deployment, monitoring, and operational support
Uphold code quality, security, and observability standards in everything you ship
Stay current with emerging AI technologies, frameworks, and platform capabilities
Leadership, Mentoring & Influence
Lead a workstream: take technical ownership of a defined feature area or service, from design through production support, coordinating a small group of engineers where needed
Mentor engineers: guide associate and mid-level engineers through code review, pairing, and design feedback;
help them build GenAI and cloud skills
Contribute to architecture: participate actively in design reviews, propose solution options with clear trade-offs, and help shape the patterns and standards the team adopts
Influence through delivery: partner directly with product owners, architects, and business stakeholders to refine requirements and build credibility through working software
Improve the team: identify and drive improvements in engineering practices, tooling, reusable components, and documentation;
share knowledge throughdemos and internal write-ups
Required Qualifications
5 to 8 years of software engineering experience
Strong proficiency in Python and JavaScript/TypeScript
Experience developing microservices, APIs, and distributed applications
Hands-on experience with AWS cloud services and cloud-native application development
Recent experience building enterprise GenAI solutions, including AI agents, chatbots, or RAG applications
Experience with AWS Bedrock or other enterprise LLM platforms
Experience with data ingestion, vector databases, embeddings, and semantic search
Experience implementing AI guardrails, safety controls, intent classification, and routing logic
Strong understanding of software engineering best practices, application security, scalability, and production operations
Experience mentoring engineers and leading delivery of a technical workstream
Preferred Qualifications
Experience with AWS AgentCore
Experience with LangGraph, LangChain, or similar agent frameworks
Experience with model tuning, evaluation, and prompt engineering
Experience with event-driven architectures and AWS serverless technologies
Experience delivering solutions in financial services, insurance, or other regulated industries
Worksite address
city of newark, NJ, 07102, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.