Senior GenAI Cloud Engineer
Location: Newark, NJ Hybrid preffered But open to Remote candidates for the right fit
Duration: 6 Months
ABOUT THE ROLE
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 through demos and internal write-ups.
REQUIRED QUALIFICATIONS
- 5-8 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.
IDEAL CANDIDATE
You are a strong software engineer with recent GenAI experience who enjoys building production-ready AI solutions. You have hands-on experience developing agents, chatbots, and retrieval-based applications, you are comfortable across cloud architecture, application development, and AI integration challenges; and you naturally raise the level of the engineers around you.
LEVELING: SENIOR VS. LEAD
- Senior GenAI Cloud Engineer - 5-8 years. Primarily hands-on. Leads implementation of specific workstreams, contributes to architecture, mentors associate and mid-level engineers, and influences within the team.
- Lead GenAI Cloud Engineer - 8+ years. Hands-on technical leader. Owns architecture and technical direction, sets standards and platform strategy, leads complex multi-team initiatives, mentors senior engineers, and influences cross-team design decisions.
- Career path: GenAI Cloud Engineer Senior GenAI Cloud Engineer Lead GenAI Cloud Engineer.
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Spectraforce Technologies
Aug 28, 2026