Gen AI Engineer
Hartford, CT - Onsite (5 days)
Contract Job.
Job Requirement:
Key Responsibilities:
Design, develop, and deploy AI/ML models, with a focus on Generative AI and autonomous agents.
Implement LLM-based AI agents, fine-tune pre-trained models, and integrate them into applications.
Develop and optimize multi-modal AI systems (text, image, audio, video) using state-of-the-art techniques.
Work with Reinforcement Learning (RL), Prompt Engineering, and Knowledge Graphs to improve AI agent capabilities.
Collaborate with cross-functional teams to integrate AI-powered solutions into products and services.
Conduct research, experiment with emerging AI frameworks, and optimize model performance.
Ensure scalability, efficiency, and ethical considerations in AI solutions.
Required Skills & Qualifications:
Bachelor's, Master's, or Ph.D. in Computer Science, AI, Data Science, or a related field.
3+ years of experience in AI/ML development, with expertise in Generative AI and AI agents.
Proficiency in Python, TensorFlow/PyTorch, and Hugging Face Transformers.
Experience with LLMs (GPT, Claude, Gemini, etc.), vector databases, and retrieval-augmented generation (RAG).
Strong understanding of NLP, deep learning, and model fine-tuning techniques.
Experience working with MLOps, cloud-based AI deployment (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
Knowledge of prompt engineering, reinforcement learning, and AI safety principles.
Strong problem-solving skills, ability to work independently and collaboratively.
Preferred Qualifications:
Experience with self-learning AI agents, autonomous workflows, or multi-agent systems.
Background in graph-based AI, symbolic reasoning, or cognitive architectures.
Contributions to open-source AI/ML projects or research publications in relevant domains.