AI / GenAI Engineer

Prophecy Technologies

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 8-10 years of relevant experience in AI engineering
  • 2+ years of hands-on experience with GenAI/LLM applications
  • 1+ year of experience in developing Agentic AI systems
  • Expertise in Python and AI frameworks like TensorFlow and PyTorch
  • Familiarity with cloud platforms such as AWS and Google Cloud Platform

Responsibilities

  • Design and deploy GenAI/LLM-powered applications
  • Build reasoning capabilities in Agentic AI systems
  • Develop NLP solutions for text generation and understanding
  • Apply Reinforcement Learning techniques for agent optimization
  • Work with large datasets and cloud-native implementation
  • Integrate AI models with existing enterprise IT systems
  • Collaborate in Agile teams and maintain code quality through Git

Benefits

  • Opportunity to work with cutting-edge AI technologies
  • Collaboration with cross-functional teams in an Agile environment
  • Participation in high-impact AI projects
  • Exposure to cloud-native deployment strategies
  • Continuous learning and professional development in AI
Full Job Description
Job Summary

We are seeking an experienced AI / GenAI Engineer to design, develop, and deploy intelligent GenAI and Agentic AI-driven applications. The role involves building scalable LLM-powered solutions, implementing agent-based systems with reasoning and decision-making capabilities, and deploying solutions on cloud-native platforms such as Google Vertex AI. The engineer will work closely with cross-functional teams in an Agile environment and integrate AI solutions with enterprise systems.

Location

Hartford, CT

Experience

8-10 Years
• Minimum 2+ years of hands-on experience in GenAI / LLM-based application development
• Minimum 1+ year of experience building Agentic AI systems

Key Responsibilities
• Design, develop, and deploy GenAI/LLM-powered applications and products
• Build Agentic AI systems with planning, reasoning, and decision-making capabilities
• Develop NLP solutions for text generation, understanding, and summarization
• Apply Reinforcement Learning (RL) techniques for agent training and optimization
• Work with large-scale datasets and deploy AI solutions on cloud platforms
• Develop and deploy AI agents using Google ADK and Google Vertex AI
• Integrate AI models with enterprise IT systems
• Participate in Agile ceremonies and collaborate with cross-functional teams
• Maintain code using Git and follow best engineering practices
• Communicate technical concepts effectively to stakeholders

Required Skills & Experience
• Strong proficiency in Python
• Hands-on experience with GenAI / LLM frameworks and tools:

- TensorFlow

- PyTorch

- Transformers

- LangChain

- LangGraph

- Autogen

- LlamaIndex
• Experience with NLP techniques (text generation, summarization, understanding)
• Experience with Reinforcement Learning algorithms
• Experience working with cloud platforms:

- AWS

- GCP

- Azure

- IBM Cloud

- Salesforce
• Experience with version control systems such as Git
• Experience working in Agile development environments

Competencies
• Digital : Python
• Digital : GenAI / LLM
• Digital : Agentic AI
• Digital : NLP
• Digital : Reinforcement Learning
• Digital : Cloud Computing

Preferred Skills
• Experience developing AI agents using Google ADK
• Experience deploying agents on Google Vertex AI
• Experience integrating AI solutions with enterprise systems
  • Strong communication and collaboration skills

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