AI Engineer

Role:-AI Engineer Location:-Sunrise, Fl , New York, NY & Phoenix ,AZ Permanent:-Fulltime Salary:-110,000 per year Job Description: -Role - AI Engineer : Typescript and Python, Gen AI, Agentic A IExperience Required - 6+ Year s Role Overview: Design, develop, and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely with data scientists, business stakeholders, and cloud teams to build production-grade AI system s. Must Have Technical/Functional Ski lls• 6+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming syst ems• Experience working on Typescript and Python, Gen AI, Agentic AI• Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Fa ce.• Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databa ses• Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technolog ies• Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or produc ts.• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructu re.• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluati on.• Fluency with AI-assisted and agentic development workflo ws.• Ability to influence technical direction and align teams without formal authori ty.• Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakehold ers Roles & Responsibili ties• Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system des ign.• Design, build, and operate production-grade agentic AI systems used across multiple produ cts.• Own and evolve shared agentic AI capabilities, includ ing:• Design and Develop Agent frameworks and orchestration la yers• Planning, tool use, and memory strate gies• Design Retrieval and grounding (RAG) pipel ines• LLM infrastructure, inference, and model gate ways• Evaluation, observability, and safety tooling for autonomous sys tems• Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and c ost.• Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to product ion.• Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improveme nts.