AI Forward Deployed Engineer

Infoorigin inc -
New York, NY, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

LangGraph Framework AI Evaluation Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Code Review Databases Continuous Integration Python (Programming Language) OpenAI
+25 more
Microsoft Copilot Software Engineering Enterprise Search Pinecone Enterprise Software Applications LangChain Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Backend Agentic-AI Git Microsoft Copilot Studio Kubernetes Weaviate Enterprise Integration Machine Learning Operations Claude Invoking Functions Restful APIs Semantic Kernel Docker Microservices

Job description

  • Design and deploy enterprise-grade Generative AI and LLM applications.
  • Build AI agents, RAG pipelines, multi-agent workflows, and intelligent automation.
  • Develop backend services and APIs using Python.
  • Implement prompt engineering, tool/function calling, context management, and LLM orchestration.
  • Integrate AI solutions with enterprise applications, APIs, databases, and business workflows.
  • Work directly with business stakeholders to identify AI use cases and translate requirements into technical solutions.
  • Own solutions from architecture and development through deployment, monitoring, and optimization.
  • Implement AI security, governance, evaluation, observability, and performance standards.
  • Provide technical leadership, code reviews, and mentoring.

Requirements

  • 8+ years of software engineering or related technical experience.
  • 4+ years of hands-on AI/ML experience with recent Generative AI/LLM development.
  • Strong experience with OpenAI, Azure OpenAI, Claude, or equivalent LLM platforms.
  • Advanced Python development skills.
  • Strong experience with RAG, AI agents, prompt engineering, tool calling, and LLM orchestration.
  • Experience with LangChain, LangGraph, Semantic Kernel, or similar frameworks.
  • Strong knowledge of REST APIs, microservices, cloud platforms, and enterprise integration.
  • Experience deploying and supporting AI solutions in production environments.

Preferred Skills

  • Azure AI Foundry, Azure OpenAI, Azure AI Search
  • AWS
  • Microsoft Copilot / Copilot Studio / Power Platform
  • Vector databases such as Pinecone or Weaviate
  • Docker, Kubernetes, Git, CI/CD
  • LLMOps, AI evaluation, monitoring, and responsible AI
  • Experience in financial services, insurance, or other regulated industries.

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