Python Go Developer Jobs in Florida (NOW HIRING)

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MSP Owner: Kelly Gosciminski
Location: New York, NY - onsite
Duration: 6 months
skill id: 10652466
Software AI Engineer - Agentic AI
Technical/Functional Skills
• 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure • AI engineers with recent NodeJS/Javascript/Typescript experience • Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products. • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure. • Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation. • Fluency with AI-assisted and agentic development workflows. • Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems. • Ability to influence technical direction and align teams without formal authority. • Experience in workflow engines, async processing, queues, and streaming systems. • Languages: NodeJS/Javascript/Typescript,Python, Go, • APIs and services: REST, gRPC • Cloud and infrastructure: AWS and/or GCP, Kubernetes • Distributed systems: event-driven architectures, including Kafka • Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc • Integration of commercial and open-source LLMs into agentic workflows
• Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives • Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow • Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)
Roles & Responsibilities
• Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design. • Design, build, and operate production-grade agentic AI systems used across multiple products. • Own and evolve shared agentic AI capabilities, including: • Agent frameworks and orchestration layers • Planning, tool use, and memory strategies • Retrieval and grounding (RAG) pipelines • LLM infrastructure, inference, and model gateways • Evaluation, observability, and safety tooling for autonomous systems • Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost. • Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production. • Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements. • Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.
Role Descriptions: 10 years of experience building large-scale distributed systems strong experience with LLM systems| agentic workflows or advanced ML infrastructureProven ownership of complex| cross-cutting agentic systems spanning multiple teams or products.Strong engineering fundamentals across backend systems| APIs| data pipelines| and cloud infrastructure.Deep experience across the agentic AI stack| including planning| tool use| memory| and evaluation.Fluency with AI-assisted and agentic development workflows.Comfort operating in ambiguous problem spaces and translating them into shipped| reliable autonomous systems.Ability to influence technical direction and align teams without formal authority.Experience in workflow engines| async processing| queues| and streaming systems.Languages Python| Go| TypeScriptAPIs and services REST| gRPC Cloud and infrastructure AWS andor GCP| KubernetesDistributed systems event-driven architectures| including KafkaOrchestration Frameworks LangGraph| LangChain| AirFlow| etcIntegration of commercial and open-source LLMs into agentic workflowsAgent and orchestration frameworks such as LangChain| LlamaIndex| Semantic Kernel| or CrewAI| with strong judgment about when to use frameworks versus building lighter-weight primitives
Essential Skills: 10 years of experience building large-scale distributed systems strong experience with LLM systems| agentic workflows or advanced ML infrastructureProven ownership of complex| cross-cutting agentic systems spanning multiple teams or products.Strong engineering fundamentals across backend systems| APIs| data pipelines| and cloud infrastructure.Deep experience across the agentic AI stack| including planning| tool use| memory| and evaluation.Fluency with AI-assisted and agentic development workflows.Comfort operating in ambiguous problem spaces and translating them into shipped| reliable autonomous systems.Ability to influence technical direction and align teams without formal authority.Experience in workflow engines| async processing| queues| and streaming systems.Languages Python| Go| TypeScriptAPIs and services REST| gRPC Cloud and infrastructure AWS andor GCP| KubernetesDistributed systems event-driven architectures| including KafkaOrchestration Frameworks LangGraph| LangChain| AirFlow| etcIntegration of commercial and open-source LLMs into agentic workflowsAgent and orchestration frameworks such as LangChain| LlamaIndex| Semantic Kernel| or CrewAI| with strong judgment about when to use frameworks versus building lighter-weight primitives
Desirable Skills:
Keyword:
Skills: AI Agents
Experience Required:, Project Code :