Job description

Client Name CLS Bank (Please do not post client name anywhere) J ob ID 187832 I ndent ID PSL-US211102_2-10 Position Title AI-Native Developer (AI-Assisted Engineering) Location 101 Wood Avenue South, Suite 200, Iselin, NJ 08830, USA Employment Type Fulltime Rate $120,000 to $130,000 Per Annum + 5% APB Indent ID TBC Job ID TBC Job Description About the Role : We are seeking an AI Native Engineer with proven hands-on experience building enterprise business applications and agentic AI solutions in production. The role requires strong technical depth across AI-augmented software development and application security. You will work alongside an experienced in-house AI expert and are expected to contribute at a peer level. Key Responsibilities : • 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. Required Qualifications : • AI Native Engineering • 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) : • Java — Enterprise applications, Spring Boot, microservices, AI SDK integration. • C++ — Systems-level development, AI inference engine integration (ONNX, TensorRT, llama.cpp). • Python — LLM orchestration (LangChain, LangGraph, AutoGen), data pipelines, FastAPI. Experience : • 7–12+ 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. 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.

Requirements

Must-haves

CLS Bank (Please do not post client name anywhere)
Position Title
AI-Native Developer (AI-Assisted Engineering)
101 Wood Avenue South, Suite 200, Iselin, NJ 08830, USA
Employment Type
$120,000 to $130,000 Per Annum + 5% APB
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.
AI Native Engineering
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.
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) :

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdllmazureapijavapythonml

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