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)
+ ptsNo company logo
+ ptsRecent posting (8-14 days)
+ ptsKnown 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.
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