Gen AI/ML Engineer

Gen AI/ML Engineer

Location: Austin, TX- (Onsite)

Type : Contract

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.