Fulltime GenAI & Agentic AI Developer

Role :

AI Engineer / GenAI \& Agentic AI Developer

Location :

Whippany, NJ (Hybrid)

Role Overview

We are looking for a hands-on AI Engineer with strong practical experience in

Python, TypeScript, LLMs, Agentic AI, and RAG-based applications

. The ideal candidate should have experience designing, developing, and deploying enterprise-grade AI solutions and be comfortable working across the complete AI application lifecycle, from development to production deployment.

Key Responsibilities

• Design and develop AI-powered applications using

LLMs, Agentic AI frameworks, and RAG architectures

.

• Build and deploy enterprise AI solutions for business use cases.
• Develop backend services and AI workflows using

Python and TypeScript

.

• Implement multi-agent workflows, orchestration patterns, and tool integrations.
• Create and optimize RAG pipelines, including document ingestion, vector databases, retrieval strategies, and prompt engineering.
• Evaluate LLM performance and implement monitoring, testing, and quality assessment frameworks.
• Build and maintain CI/CD pipelines using

GitHub Actions

.

• Support automated deployment, model lifecycle management, and production operations.
• Collaborate with architects, product owners, and business stakeholders to translate requirements into scalable AI solutions.
• Follow software engineering best practices, including code reviews, testing, security, and documentation.

Mandatory Skills

• Strong hands-on experience in

Python

development.

• Good experience with

TypeScript

and modern application development.

• Practical experience with

LLMs

, prompt engineering, and AI application development.

• Hands-on knowledge of

Agentic AI

, multi-agent systems, and workflow orchestration.

• Experience building

RAG (Retrieval-Augmented Generation)

solutions.

• Strong understanding of

GitHub Actions

, CI/CD pipelines, and deployment automation.

• Experience with REST APIs, microservices, and enterprise application integration.
• Knowledge of LLM evaluation, testing, monitoring, and optimization techniques.

Preferred Skills

• Experience with frameworks such as

LangChain, LangGraph, CrewAI, AutoGen, or similar

.

• Exposure to vector databases such as

Pinecone, Weaviate, FAISS, ChromaDB, or Azure AI Search

.

• Experience with cloud platforms (

AWS, Azure, or GCP

).

• Understanding of MLOps concepts and AI solution deployment.
• Knowledge of containerization technologies such as

Docker and Kubernetes

.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• Excellent communication and stakeholder management skills.
• Ability to work independently and collaboratively in agile teams.
• Strong problem-solving and analytical mindset.

Nice to Have

• Experience with enterprise AI platforms and production AI deployments.
• Exposure to Responsible AI, AI governance, and security best practices.
• Experience with monitoring and observability tools for AI applications.

This role is ideal for candidates who can combine

software engineering expertise with practical GenAI, Agentic AI, and RAG implementation experience

to deliver scalable enterprise AI solutions.