Staff Engineer - AI Engineering
Job Description Summary
GE Vernova is seeking a highly skilled AI Engineer to design, develop, and deploy advanced autonomous AI agents leveraging LLMs and advanced AI/ML techniques. The ideal candidate will build intelligent Agents capable of perceiving, reasoning, and acting within complex digital or real-world environments, integrating AI models into scalable applications that solve real-world business challenges autonomously.
Responsible for departmental operations planning/execution or is focused on execution of professional activities within a technical discipline. Functions with some autonomy but guided by established policies or review of end results.
The job allows modification of procedures and practices covering work as long as the end results meet standards of acceptability (quality, volume, timeliness etc.).
Job Description
Key Responsibilities:
- Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks.
- Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion.
- Integrate AI Agents with APIs, backend services, databases, and enterprise applications.
- Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments.
- Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction.
- Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously.
- Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices.
- Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation.
- Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team.
- Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large-scale AI/ML solutions integrating the latest state of the art research in our global products
Core Technical Skills:
- Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
- Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
- Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
- Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
- Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
- Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
- Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
- Awareness of AI ethics, data privacy, and secure handling of sensitive information.
Qualifications:
- Masters/ PhD degree in Computer Science, AI/ML, Engineering, Mathematics, or related field with 5+ years of relevant experience.
- Minimum 3 years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
- Demonstrated ability to work independently in fast-paced, experimental environments.
- Hands-on experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
- Expertise with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture
Additional Information
Relocation Assistance Provided: Yes
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Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Adoption Assistance Program
- Family Support Resources
- Birth Parent or Maternity Leave
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Summer Fridays
Financial and Retirement
- 401(K)
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- Profit Sharing
- 401(K) With Company Matching
Professional Development
- Tuition Reimbursement
- Access to Online Courses
- Lunch and Learns
- Leadership Training Program
- Internship Program
- Associate or Rotational Training Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
- Unconscious Bias Training
Company Videos
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