AI ML Engineer

Innoventrics; Charlotte (NC); Hybrid; USD 150,000 - 190,000; Part time

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