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AI-Native Developer (AI-Assisted Engineering)

Lorven Technologies, Inc.

Woodbridge Township, New Jersey • Today

Easy Apply

Third Party, Contract

Depends on Experience

AI-Native Developer (AI-Assisted Engineering)

Lorven Technologies, Inc.

Woodbridge Township, New Jersey • Today

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

Summary

Job Title: AI-Native Developer (AI-Assisted Engineering)

Location: Iselin, NJ

Job Description:

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field experience with 12+ years of overall software engineering experience.
3–5+ years in AI/ML engineering with at least 2 years in Generative AI and Agentic AI in production.
Design and deliver production-grade business applications with AI natively integrated into the architecture.
Build and operate Agentic AI systems — multi-step, autonomous pipelines using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent.
Drive AI SDLC practices across the development lifecycle — AI-assisted code generation, review, testing, documentation, and CI/CD augmentation.
Apply application security expertise in both traditional and AI-specific contexts.
Evaluate and integrate emerging AI tools and frameworks with sound engineering judgment.
Production experience with end-to-end AI-powered business applications.
Proven expertise in Agentic AI architectures — tool-use, memory management, multi-agent orchestration, and human-in-the-loop workflows.
Hands-on across AI SDLC use cases — AI-driven code review, automated test generation, intelligent QA pipelines, and AI-powered requirements analysis.
Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or open-source equivalents), RAG pipelines, vector databases, and embedding strategies.

Application Security:

Solid experience in traditional application security — OWASP Top 10, secure coding, SAST/DAST, API security, and threat modeling.
Hands-on with AI-specific security risks — prompt injection, RAG poisoning, model data leakage, and adversarial inputs.
Familiarity with OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS.

Programming Languages (Minimum one, ideally two):

Python — LLM orchestration (LangChain, LangGraph, AutoGen), data pipelines, FastAPI.
Java — Enterprise applications, Spring Boot, microservices, AI SDK integration.
C++ — Systems-level development, AI inference engine integration (ONNX, TensorRT, llama.cpp).

Nice to Have:

AI integration with enterprise platforms (ERP, CRM, DevSecOps toolchains).
LLM observability and evaluation (RAGAS, DeepEval, Promptfoo).
AI governance, responsible AI, and explainability in enterprise contexts.
Open-source contributions or published technical content.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10120137
Position Id: 71711-10367-1790263090
Posted 2 hours ago

Fitment

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Job Details

Skills

Summary

Job Title: AI-Native Developer (AI-Assisted Engineering)

Location: Iselin, NJ

Job Description:

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field experience with 12+ years of overall software engineering experience.
3–5+ years in AI/ML engineering with at least 2 years in Generative AI and Agentic AI in production.
Design and deliver production-grade business applications with AI natively integrated into the architecture.
Build and operate Agentic AI systems — multi-step, autonomous pipelines using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent.
Drive AI SDLC practices across the development lifecycle — AI-assisted code generation, review, testing, documentation, and CI/CD augmentation.
Apply application security expertise in both traditional and AI-specific contexts.
Evaluate and integrate emerging AI tools and frameworks with sound engineering judgment.
Production experience with end-to-end AI-powered business applications.
Proven expertise in Agentic AI architectures — tool-use, memory management, multi-agent orchestration, and human-in-the-loop workflows.
Hands-on across AI SDLC use cases — AI-driven code review, automated test generation, intelligent QA pipelines, and AI-powered requirements analysis.
Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or open-source equivalents), RAG pipelines, vector databases, and embedding strategies.

Application Security:

Solid experience in traditional application security — OWASP Top 10, secure coding, SAST/DAST, API security, and threat modeling.
Hands-on with AI-specific security risks — prompt injection, RAG poisoning, model data leakage, and adversarial inputs.
Familiarity with OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS.

Programming Languages (Minimum one, ideally two):

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Java — Enterprise applications, Spring Boot, microservices, AI SDK integration.
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Nice to Have:

AI integration with enterprise platforms (ERP, CRM, DevSecOps toolchains).
LLM observability and evaluation (RAGAS, DeepEval, Promptfoo).
AI governance, responsible AI, and explainability in enterprise contexts.
Open-source contributions or published technical content.

Dice Id: 10120137
Position Id: 71711-10367-1790263090
Posted 2 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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