95 jobs for "Machine Learning Engineer, AI Agent"

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Software Engineer - AI

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Software Engineer - AI

At PNC Financial Services Group - Pittsburgh

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AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

At Apple - San Francisco Bay Area

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Machine Learning Engineer - LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling

At Apple - Cupertino

Posted on Oct 15

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AI/ML Engineer: System RF Data Ecosystem

At Apple - Cupertino

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Senior Staff Machine Learning Engineer, ML Platform

At Apple - Cupertino

Posted on Oct 19

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Machine Learning Platform Engineer, Apple Services Engineering

At Apple - Seattle

Posted on Oct 17

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Senior Applied AI Engineer, Agent Tools & Capabilities

At Apple - Cupertino

Posted on Oct 15

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Senior Staff Machine Learning Engineer, ML Platform

At Apple - Cupertino

Posted on Oct 19

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Data Scientist

At Leidos - Odenton

Posted on Nov 5

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IND Senior Staff Software Engineer

At The Hartford - Hyderabad

Posted on Oct 15

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The Hartford

IND Senior Staff Software Engineer

Hyderabad, IndiaPosted 25 days ago

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Why you should apply for a job to The Hartford:

Ranked as one of the Best Companies Where CEOs Support Gender Diversity in 2022
4.5/5 in overall job satisfaction
4.5/5 in supportive management
76% say women are treated fairly and equally to men
87% would recommend this company to other women
90% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

IND Senior Staff Software Engineer - GCC020
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Key Responsibilities

Develop Algorithms that enable AI agents to perform tasks without step-by-step instructions.

Design and implement agentic AI systems capable of autonomous decision-making, learning from experience, and adapting to dynamic goals and contexts

Design and develop multi-agent frameworks using tools such as LangGraph , Crew AI, or Semantic Kernel to orchestrate intelligent workflows.

Design and develop machine learning techniques that allow agents to learn from experience and adapt over time.

Translate business requirements into agentic AI solutions.

Collaborate with data scientists, software engineers, business stakeholders, and product teams to integrate AI solutions into production systems.

Conduct context and prompt engineering using zero-shot, few-shot, and chain-of-thought techniques to enhance model performance and relevance.

Optimize agents based on different models for performance, scalability, and accuracy.

Ensure ethical AI practices and compliance with data privacy regulations.

Document processes, models, and code for transparency and reproducibility.

Conduct research and stay up to date with the latest advancements in AI/ML technologies.

Required Skills & Experience

Proficiency in programming languages such as Python, Java, or C++.

Strong foundation in AI/ML algorithms, data structures, and software engineering principles.

Understanding of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.

Familiarity with MLOps tools and practices (e.g., MLflow , Kubeflow, Docker for CI/CD).

Solid knowledge of data structures, algorithms, and software engineering principles.

Experience with agent orchestration, LLMOps , and model lifecycle management, vector search, information retrieval, graph algorithms and knowledge grap h.

Experience with version control systems (e.g., Git).

Familiarity with agent orchestration platforms and enterprise integration.

Strong problem-solving skills and ability to work independently and collaboratively.

Preferred Skills & Experience

Experience with natural language processing (NLP), computer vision, or reinforcement learning.

Knowledge of generative AI and foundation models (e.g., Gemini, Claude).

Experience with real-time inference systems and edge AI.

Background in mathematics, statistics, or computational neuroscience.

Understanding of LLM (Large Language Model) & LRM (Large Reasoning Model)

Understanding of AI ethics, bias mitigation, and explainable AI.

About The Hartford

We focus on innovation, inclusion, equity and flexibility – and are committed to giving our employees what they need to achieve amazing things.

Size: 10,000+ employees
Industry: Insurance: Property & Casualty

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