AI ML Engineer

Innoventrics

Charlotte (NC)

On-site

USD 150,000 - 190,000

Part time

14 days+
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Job summary

Innoventrics is seeking a Forward-Deployed AI Engineer in Charlotte, NC, on a hybrid basis (3 days onsite). This 12-month contract role starts ASAP and focuses on designing, building, and deploying enterprise AI solutions, including AI workflows, copilots, automation, and RAG-based applications using LLM tech.

You will collaborate with business, product, and engineering teams, owning solutions from prototype to production deployment.

Qualifications

  • 7+ years of software engineering experience.
  • Strong Python development skills.
  • 2+ years of hands-on experience with LLMs and Generative AI.
  • Experience with APIs, distributed systems, and enterprise integrations.
  • Strong problem-solving and stakeholder communication skills.

Responsibilities

  • Build and deploy scalable AI/ML applications in enterprise environments.
  • Develop AI workflows, copilots, agentic systems, and automation solutions.
  • Design and optimize RAG pipelines and AI orchestration frameworks.
  • Integrate AI solutions with platforms like ServiceNow, Salesforce, and APIs.
  • Work across engineering, business, security, and governance teams.
  • Own solutions from prototype to production deployment.

Skills

Python
LLMs
APIs
Distributed systems
Software engineering
Stakeholder communication
Problem solving

Tools

OpenAI API
Anthropic API
LangChain

Job description

Forward-Deployed AI Engineer

Charlotte, NC (Hybrid - 3 days onsite)

12 Month Contract | Start ASAP

Visa: USC / GC / H4/L2 / H1B / E3 / J2

We are seeking a Forward-Deployed AI Engineer with strong software engineering and AI expertise to design, build, and deploy enterprise AI solutions. The role involves developing AI workflows, copilots, automations, and RAG-based applications using LLM technologies while collaborating closely with business, product, and engineering teams.

Key Skills & Responsibilities
  • Build and deploy scalable AI/ML applications in enterprise environments
  • Develop AI workflows, copilots, agentic systems, and automation solutions
  • Design and optimize RAG pipelines and AI orchestration frameworks
  • Integrate AI solutions with platforms like ServiceNow, Salesforce, and APIs
  • Work across engineering, business, security, and governance teams
  • Own solutions from prototype to production deployment
Required Skills
  • 7 years of software engineering experience
  • Strong Python development skills
  • 2 years of hands-on experience with LLMs and Generative AI
  • Experience with APIs, distributed systems, and enterprise integrations
  • Strong problem-solving and stakeholder communication skills
Preferred Skills
  • Experience with OpenAI, Anthropic, LangChain, or AI agent frameworks
  • Experience building RAG applications and AI copilots
  • Exposure to financial services or regulated environments
  • Knowledge of enterprise security and governance frameworks
Tech Stack

Python | Generative AI | OpenAI / Anthropic APIs | LangChain | RAG | APIs | Distributed Systems | Prompt Engineering | Cloud Platforms

Skills: skills,security,ml,design,teams,python,software,enterprise,platforms,distributed systems

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