AI ENgineer in NYC NY or Orlando FL - Contract - Onsite

Onsite in NYC NY or Orlando FL

Only your W2 Candidates

AI Engineer

What You ll Get to Do:

• Architect and develop autonomous AI systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks
• Create robust agentic workflows enabling AI agents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG)
• Fine-tune and optimize pre-trained large language models and multi-modal models for targeted use cases, ensuring high performance and low latency in production.
• Implement distributed training and scalable MLOps pipelines for continuous model improvement
• Collaborate with cross-functional teams research, product, and engineering to embed AI capabilities into products and services
• Evaluate and select appropriate AI frameworks (e.g., LangChain, LlamaIndex) to integrate agent components seamlessly with enterprise systems
• Build full-stack applications (front-end interfaces and back-end APIs) using modern languages and frameworks (React/Angular, Python, Java, Node.js)
• Develop and enforce testing protocols and monitoring systems to ensure AI outputs are accurate, reliable, and ethically aligned
• Proactively identify and mitigate risks such as hallucinations, bias, and security vulnerabilities within deployed AI systems
• Manage project timelines and collaborate with business groups in an agile environment, considering cost-benefit trade-offs for GenAI solutions
• Stay current on advancements in generative AI, agentic systems, and multi-modal models; experiment with novel architectures and workflows
• Develop quick prototypes and evaluate emerging technologies in the GenAI space in collaboration with technical teams

What You ll Bring with You:

• Bachelor s degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, or a related field (Master s or PhD preferred for senior roles)
• Hands-on experience in AI/ML engineering, with demonstrable work on large-scale LLMs, multi-modal models, and autonomous agent systems
• Proven experience building full-stack applications, including user-facing front-end and robust back-end APIs using languages and frameworks such as React/Angular, Python, Java, and Node.js
• Expertise in designing and executing complex prompt strategies to achieve desired outputs from popular LLMs (e.g., OpenAI GPT, Anthropic Sonnet, Google Gemini, Llama2/3.1, Mistral 7B)
• Proven experience working with agentic AI frameworks (e.g., LangGraph, CrewAI, AutoGen) to develop and orchestrate autonomous, multi-agent systems
• Experience monitoring AI applications using popular observability tools (e.g. Langfuse, Langsmith) to ensure seamless performance and monitoring
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and hands-on experience in fine-tuning foundation models using SFT or parameter-efficient techniques (PEFT/LoRA)
• Strong skills in data transformations for both structured and unstructured data; ability to integrate these processes into scalable pipelines
• Experience deploying AI models and full-stack applications using cloud-native tools (e.g., AWS Bedrock Agents/PromptFlows, Azure AI Foundry Assistants/PromptFlows)
• Excellent problem-solving and debugging skills with a proven track record in rapid prototyping and iterative development in agile environments
• Strong project management skills with the ability to manage multiple tasks and coordinate effectively with technical and business teams
• Demonstrated understanding of cost-benefit trade-offs when employing GenAI solutions, ensuring efficient resource utilization
• Excellent communication skills and a collaborative mindset, with experience working in multi-disciplinary, agile teams