1077 IT & Software Developer jobs in the US
AI/ML Engineer - Infrastructure & Systems
$70,000 - 80,000
Acti
From Road 650, Paramus
$70,000 - 80,000
Requirements
Must:
- Minimum of 3 years experience in software engineering, particularly focused on AI/ML infrastructure or backend systems
- Proficient in Python and experienced with AI/ML tools and libraries
- Practical experience with vector databases such as Pinecone, Weaviate, Qdrant, or similar
- Skilled in building and utilizing RESTful APIs along with LLM provider APIs (Anthropic, OpenAI)
- Familiar with workflow automation platforms like n8n, LangChain, or similar
- Experience in cloud computing environments (AWS, GCP, Azure) and container technologies (Docker)
- Solid knowledge of Retrieval-Augmented Generation architectures, embedding models, and knowledge retrieval systems
- Preferred: Experience with voice AI platforms (e.g., ElevenLabs, Deepgram)
- Preferred: Background in developing multi-agent systems or agent orchestration frameworks
- Preferred: History of fine-tuning LLMs or training custom models
- Preferred: Familiarity with CI/CD pipelines for AI/ML deployments
- Preferred: Experience in real-time data processing and streaming architectures
Responsibilities
- Design and develop backend infrastructure for AI agent deployment, including API integrations, data pipelines, and orchestration workflows
- Oversee and enhance Retrieval-Augmented Generation (RAG) systems utilizing Pinecone vector databases, embedding pipelines, and knowledge base architecture
- Create and sustain n8n automation workflows that facilitate agent orchestration, data flow, and cross-platform integrations
- Integrate LLM APIs (Claude, GPT) with production systems, managing authentication, error handling, rate limits, and fallback logic
- Develop and maintain links with voice platforms (ElevenLabs), CRMs, communication tools, and other third-party services
- Establish the technical groundwork for the Builder Agent system, an autonomous agent-creation pipeline
- Implement fine-tuning workflows, manage embedding models, and frameworks for model evaluation when required
- Optimize infrastructure performance, latency, and cost efficiency across all AI systems
- Collaborate with the Prompt Architect to transform system prompt designs into durable, production-grade technical solutions
Description
At Actualized Intelligence (ACTi), we are pioneering the next wave of AI-powered agents that facilitate real behavioral change. Our innovative technology and systems challenge the potential of conversational AI. We are searching for a skilled AI/ML Engineer to create and uphold the essential technical frameworks that support our expanding array of intelligent agents. You will play a crucial role in shaping the backend systems and data pipelines that enable our agents to perform effectively. We offer a hybrid work environment based in Paramus, NJ, alongside comprehensive benefits including health and dental insurances, retirement plans, and paid time off.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find DevOps salaries in the United States here.
How many DevOps jobs are in the United States?
Currently, there are 1077 DevOps openings. Check also: Cloud jobs, AWS jobs, Azure jobs, GCP jobs, Kubernetes jobs, Docker jobs, Terraform jobs - all with salary brackets.
Is the US a good place for DevOps?
The US is one of the best countries to work as a DevOps. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for DevOps jobs in the United States?
LYNKED Inc., D3 Security Management Systems, Snaplii, Frontier Dental Supply, DataAnnotation, Quantic, Alyn Inc. among others, are currently hiring for DevOps roles in the United States.
The company with most openings is Jobot as they are hiring for 196 different DevOps jobs in the United States. They are probably quite committed to find good DevOps.
The company with most openings is Jobot as they are hiring for 196 different DevOps jobs in the United States. They are probably quite committed to find good DevOps.