974 IT & Software Developer jobs in the US
AI Technical Lead - Machine Learning Expert
$146,000 - 187,200
Randstad Digital
Mills Tower Drive 10419, Rancho Cordova
$146,000 - 187,200
Requirements
Must:
- Full-Stack AI Proficiency: Proven track record of independently developing complete solutions across data, API, and UI layers.
- Advanced LLM Orchestration: Practical experience with function calling, structured output handling, and intricate AI agent workflows.
- Rapid Prototyping Tools: Proficiency in AI-centric application builders and low-code/no-code platforms for swift front-end and back-end construction.
- Cloud Infrastructure: Experience in deploying services within cloud sandbox environments (e.g., AWS/Azure/Google Cloud Platform), including managed AI services and serverless functions.
- API Mastery: Strong understanding of RESTful services, webhooks, and contemporary authentication methods (OAuth/API keys).
- Adaptive Learning: Demonstrated ability to swiftly assess and integrate emerging AI tools and frameworks as technology evolves.
- Architectural Judgment: Skill in determining when to use standard APIs, employ workflow orchestration, or develop custom code.
- High-Stakes Delivery: Proven history of delivering stable, functional applications under tight deadlines that perform brilliantly during executive presentations.
- Strategic Communication: Capacity to elucidate complex system architectures and AI constraints to non-technical stakeholders without sacrificing technical accuracy.
- Collaboration: Consultative approach ensuring business partners comprehend the rationale behind technical developments to successfully advocate for the project.
Responsibilities
- End-to-End Development: Architect and construct 1-2 full-stack AI prototypes per cycle, assuming responsibility for each layer of the stack including data processing, AI pipeline design, back-end logic, and front-end interfaces.
- Rapid Iteration: Convert executive vision into delineated technical architectures. Navigate trade-offs within expedited development cycles, transitioning from initial scoping to completed hand-offs within a specified timeframe.
- AI Pipeline Engineering: Design and deploy advanced pipelines utilizing LLM APIs, prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and multi-step agentic workflows.
- Integration & Automation: Leverage workflow orchestration platforms and cloud-native services to link prototypes with enterprise data sources and external APIs.
- Executive Technical Liaison: Engage directly with non-technical executive stakeholders to interpret architectural decisions into business implications and refine requirements dynamically.
- Production Readiness Assessment: Analyze the
Description
We are on the lookout for a proactive Technical Lead to guide the creation of full-stack AI prototypes in our innovation lab. You will be responsible for the complete technical execution of significant AI projects, converting high-level business needs into functional, demo-ready applications. This dynamic, results-oriented position involves architecting, constructing, and refining AI solutions in a controlled environment to demonstrate technical viability and business benefits. This is a telecommute contract position offering a competitive hourly wage and flexible work hours.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 974 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. 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 Machine Learning Engineer jobs in the United States?
micro1, Allied Technical Solutions, Brain Box, Mercy Medical Center, In-Depth Engineering Corporation, Soaren Management LLC, Payright Payroll Services Inc. among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Kforce Technology Staffing as they are hiring for 86 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Kforce Technology Staffing as they are hiring for 86 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.