Senior Machine Learning Engineer - GenAI, LLM, Agentic AI

FULL TIME
senior

Salary

No salary data

vs. Engineering avg

Ghost Score

Better than ~65% of category

Engineering jobs

Freshness

Posted 2 weeks ago

Job Description

Eightfold AI is a global leader in AI-native enterprise talent intelligence, trusted by Fortune 500 organizations. The Senior Machine Learning Engineer will be responsible for developing intelligent, autonomous systems that redefine talent management, focusing on advanced AI agents and agentic systems. Responsibilities: Research, design, development, and deployment of advanced AI agents and agentic systems; Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities; Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence; Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale; Collaborate with product managers, UX designers, and other engineers to define Qualifications: Knowledge and passion in machine learning algorithms, GenAI, LLMs, and Agentic AI; Understanding of agent-based modeling, reinforcement learning, and autonomous systems; Experience with large language models (LLMs) and their applications in Agentic AI; Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch; Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes); Understanding of distributed system design patterns and microservices architecture; Demonstrable Coding and Algorithms skills; Excellent problem-solving and data analysis skills; Strong communication and collaboration skills; Bachelors or Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience; Min 2-5+ years of relevant machine learning work experience Required Skills: Machine learning algorithms, Generative AI, Large language models, Agentic AI, Agent-based modeling, Reinforcement learning, Autonomous systems, Python, TensorFlow, PyTorch, AWS, Docker, Kubernetes, Distributed system design, Microservices architecture, Coding, Algorithms, Communication, Collaboration, Problem solving, Data analysis

Ghost Score Breakdown

No salary (mandate state violation)
+ pts
No company logo
+ pts
Recent posting (8-14 days)
+ pts
Known scam/ghost company
Reposted listing
Expired deadline
High job-to-employee ratio
Recruiting agency
Overall: 23/100Low Ghost Risk

Application Tips

  • Top skills mentioned: python, aws, docker. Make sure your resume highlights these.
  • This listing shows strong signals of being a real opportunity — apply with confidence.

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