Senior GenAI Cloud Engineer: Enterprise AI Agents

Spectraforce Technologies; Newark (NJ); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Spectraforce Technologies in Newark, NJ is seeking a Senior GenAI Cloud Engineer to build and deploy enterprise-scale AI solutions, focusing on intelligent automation, conversational experiences, and business process transformation.

You will design, develop, and deliver production-grade AI applications using cloud architectures, large language models, and agentic AI frameworks; lead workstreams, mentor engineers, and shape patterns and standards.

Qualifications

• 5–8 years of software engineering experience.
• Strong proficiency in Python and JavaScript/TypeScript.
• Experience developing microservices, APIs, and distributed apps.
• Hands-on experience with AWS cloud services.
• Recent GenAI experience including agents, chatbots, or RAG apps.
• Experience with AWS Bedrock or enterprise LLM platforms.
• Experience with data ingestion, embeddings, and semantic search.
• Experience implementing AI guardrails and safety controls.

Responsibilities

• Develop cloud-native applications and microservices.
• Build enterprise GenAI agents, chatbots, and retrieval apps.
• Implement data ingestion, embedding generation, and vector pipelines.
• Develop intent classification, orchestration, and routing for AI apps.
• Integrate LLMs with enterprise systems, APIs, and databases.
• Contribute to architecture, testing, deployment, and operations.
• Maintain code quality, security, and observability standards.
• Stay updated on emerging AI technologies and platforms.

Skills

Python

JavaScript/TypeScript

AWS

GenAI

Microservices

Tools

AWS Bedrock

LangChain

LangGraph

Job description

Spectraforce Technologies in Newark, NJ is seeking a Senior GenAI Cloud Engineer to build and deploy enterprise-scale AI solutions, focusing on intelligent automation, conversational experiences, and business process transformation.

You will design, develop, and deliver production-grade AI applications using cloud architectures, large language models, and agentic AI frameworks; lead workstreams, mentor engineers, and shape patterns and standards.