Junior Forward-Deployed AI Engineer

VitalEdge Technologies Inc.; Cary (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

VitalEdge Technologies Inc. is seeking an entry-level Internal Forward Deployed Engineer to join our Applied AI team in Cary, NC. You will translate business workflows into technical builds and contribute to production-ready AI solutions under guidance.

As a recent graduate in CS/AI/ML or related fields, you will learn quickly, collaborate with engineers and business stakeholders, and help deploy AI components from prototype to adoption, with a path toward owning larger components over time.

Qualifications

• Bachelor’s or Master’s degree completed recently in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical discipline.
• Strong programming fundamentals and practical Python experience demonstrated through internships, research, coursework, open-source contributions, a capstone, or personal projects.
• Understanding of algorithms, data structures, APIs, databases, testing, version control, and software development practices.
• Foundational experience building AI-enabled applications using several of the following: agents, orchestration, RAG, MCP or tool integrations, context engineering, harness engineering, loop engineering, graph engineering, and evals.
• Demonstrated ability to learn an unfamiliar business or technical domain, ask strong questions, and turn ambiguity into structured work.
• Clear communication skills and the ability to collaborate with engineers, functional teams, and subject-matter experts.
• Evidence of ownership, initiative, and follow-through in an academic, internship, research, or project setting.
• Internship, research, hackathon, academic, or project experience building AI, machine learning, data, automation, or software applications.
• Experience with Git, SQL, REST APIs, cloud platforms, containers, or CI/CD workflows.
• Familiarity with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or comparable technologies.
• Exposure to enterprise workflows, SaaS products, ERP systems, data migration, customer support, or software development operations.
• A portfolio, GitHub repository, capstone, or other work product demonstrating hands‑on technical ability and problem-solving.

Responsibilities

• Translate Business Workflows into Technical Builds
• Work with the SeniorApplied AI Engineer, functional leaders, and subject-matter experts to understand business processes, pain points, data, constraints, and user needs.
• Turn defined business problems into technical tasks, prototypes, and production components.
• Test solutions with users, incorporate feedback, and help ensure the final product fits the operating workflow and delivers measurable value.
• Communicate progress, risks, and technical trade-offs clearly to both technical and nontechnical stakeholders.
• Build and Deploy Agentic Systems
• Develop components of AI agents, multi-agent workflows, automation solutions, and AI-enabled applications under the guidance of the SeniorApplied AI Engineer.
• Build retrieval-augmented generation (RAG) pipelines, MCP-based tool integrations, APIs, and connections to enterprise applications and data sources.
• Contribute across context engineering, harness engineering, loop engineering, and graph engineering to improve agent performance, reliability, and workflow coordination.
• Create and maintain evals, tests, monitoring, feedback loops, and technical documentation for production AI systems.
• Write clean, tested, maintainable code and support deployment, troubleshooting, and production operations.
• Build Repeatable Capability
• Contribute reusable code, prompt patterns, eval assets, technical documentation, and implementation playbooks.
• Capture lessons from each deployment so subsequent initiatives can move faster and avoid repeated work.
• Stay current on emerging AI capabilities and engineering patterns, applying them pragmatically rather than becoming tied to a single model or framework.
• Develop the technical judgment and business understanding required to independently own larger solution components over time.

Skills

Python

Algorithms

Data structures

APIs

Databases

Testing

Version control

AI-enabled apps

Learning agility

Communication

Ownership

Git

SQL

REST APIs

Cloud platforms

Containers

CI/CD

LangGraph

LangChain

Semantic Kernel

AutoGen

CrewAI

Education

Bachelor’s or Master’s degree in Computer Science/AI/ML/DS/SE

Tools

LangGraph

LangChain

Semantic Kernel

AutoGen

CrewAI

Job description

VitalEdge Technologies Inc. is seeking an entry-level Internal Forward Deployed Engineer to join our Applied AI team in Cary, NC. You will translate business workflows into technical builds and contribute to production-ready AI solutions under guidance.

As a recent graduate in CS/AI/ML or related fields, you will learn quickly, collaborate with engineers and business stakeholders, and help deploy AI components from prototype to adoption, with a path toward owning larger components over time.