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Senior AI Solutions Developer

InfiCare Technologies

 

Rutherford, NJ, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: AI Solutions Developer
Tenure: Contract - Corp-to-Corp
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Description

Key Responsibilities


 

  • Collaborate with business and application teams to understand workflows, pain points, systems, data, and operational constraints
  • Build rapid prototypes and proof-of-concepts for AI-enabled workflows, assistants, agents, and automations
  • Translate prototype learnings into solution recommendations, technical patterns, and governance inputs for the AI CoE
  • Connect systems, data, APIs, and services using Python and service-based architectures
  • Integrate with enterprise systems following security, privacy, and architecture standards
  • Build LLM-based applications with orchestration for multi-step workflows, tool usage, and agentic patterns
  • Implement logging, testing, monitoring, and observability for prototypes and workflows
  • Support practical AI governance, risk, and compliance considerations
  • Partner with security, privacy, legal, data, and architecture stakeholders for responsible AI development

Required Skills


 

  • Strong proficiency in Python
  • Experience with APIs, system integration, and service-based architectures
  • Solid SQL and data knowledge in enterprise environments
  • Experience building AI-enabled applications, agents, assistants, or automations using LLM tools and platforms
  • Understanding of orchestration approaches for multi-step agentic workflows
  • Experience with authentication, authorization, and secure enterprise integration patterns
  • Experience with logging, testing, and basic observability
  • Strong problem-solving and stakeholder communication skills

Preferred Skills


 

  • Experience with MCP servers (e.g. FastMCP) or orchestration frameworks such as LangGraph
  • Experience with evaluation and observability platforms: LangSmith, Weights & Biases, or OpenTelemetry-based tracing
  • Familiarity with retrieval patterns and working with structured and unstructured data
  • Background in forward-deployed engineering, applied AI, innovation lab, or consulting engineering environments
  • Familiarity with enterprise AI governance including privacy, HITL design, and responsible use

Education

Bachelor's degree

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