3251 IT & Software Developer jobs in the US
Requirements
Must:
- 4+ years of experience in AI/ML engineering or advanced data science.
- 4+ years of demonstrated success in building and deploying production-grade autonomous agents.
- 4+ years of extensive experience in context engineering.
- 4+ years of in-depth experience with LangChain, LangGraph, CrewAI, or AutoGPT.
- 4+ years of experience implementing Retrieval-Augmented Generation (RAG) architectures using vector databases.
- 4+ years of proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI).
- 4+ years of experience integrating Large Language Models (LLMs) via APIs, with knowledge of AI governance, model lifecycle management, and evaluation.
- 4+ years of experience implementing and extending the Model Context Protocol (MCP) for secure data access and applying AI guardrails, content filtering, and safety controls.
- 4+ years of knowledge regarding data privacy and handling sensitive data, including PII and PHI.
- Must be capable of passing a background check, with potential additional checks required by projects or clients during employment.
- Exceptional interpersonal skills and the ability to communicate in a clear, professional manner.
- Outstanding verbal and written communication skills.
- Strong organizational, analytical, and problem-solving abilities with a keen eye for detail.
- Proficient in analyzing systems and procedures.
- Exceptional multitasking skills with the ability to manage multiple concurrent design streams.
- Must be self-directed and able to thrive independently as well as in a collaborative team environment.
- Ability to appropriately manage sensitive and confidential information.
Responsibilities
- Design, build, and implement AI-driven agents capable of reasoning, learning, and autonomous action to meet specified objectives.
- Create agent behaviors utilizing methods such as reinforcement learning, natural language processing (NLP), knowledge representation, planning, and decision-making algorithms.
- Integrate AI agents with existing software systems, data sources, and user interfaces to facilitate smooth operations across platforms.
- Conduct thorough testing and evaluation of AI agent performance, robustness, and security in both simulated and real-world scenarios.
- Collaborate with data scientists, software engineers, and subject matter experts to collect and preprocess training data, refining agent models for peak efficiency.
- Review user and system requirements to tailor AI agent workflows for specific government or enterprise applications.
- Develop tools for monitoring, visualizing, and managing AI agent interactions and outcomes.
- Ensure adherence to government security, privacy, and ethical regulations throughout the AI agent lifecycle.
- Prepare comprehensive technical documentation, including design specifications, integration manuals, and user guides.
- Stay abreast of advancements in AI agent frameworks, machine learning methodologies, and pertinent research to continually improve agent capabilities.
- Offer technical expertise and guidance during project planning, system integration, and post-deployment assistance.
- Perform other duties as assigned.
Description
At Cayuse Civil Services, LLC, we are excited to announce a vacancy for an AI Agent Engineer in a hybrid work environment located in Austin, TX. We offer a competitive salary ranging from $101,920 to $147,680, along with a comprehensive benefits package that includes medical, dental, and vision insurance, flexible spending accounts, and a 401(k) retirement savings plan with matching after one year. Our culture is built on the core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity, fostering teamwork and delivering high-quality solutions to meet our clients needs. We are dedicated to creating a supportive and effective work atmosphere, maintaining a strong focus on professional development and the well-being of our staff.
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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 3251 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?
Transport-Bourassa, Allied Technical Solutions, KUBRA, D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, ID Cosmetic clinic among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Lockheed Martin Corporation as they are hiring for 278 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 Lockheed Martin Corporation as they are hiring for 278 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
