Job description

Gen AI EngineerFull time positionsLocations: Indianapolis// Dallas, TX// Chicago// SFO// New York 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/Google Cloud Platform/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.

Requirements