PL
AI Engineer / GenAI & Agentic AI Developer
PeopleNTech LLC
๐บ๐ธ United States
On-site
2 months ago
- AI
- Machine Learning
- Python
- TypeScript
- RAG
- CI/CD
- GitHub Actions
- REST API
- Microservices
- LangChain
- LangGraph
- CrewAI
- AutoGen
- Pinecone
- Weaviate
- FAISS
- Chroma
- Azure AI
- AWS
- Azure
- GCP
- MLOps
- Docker
- Kubernetes
- Agile
2 months ago
Role :AI Engineer / GenAI & Agentic AI Developer
Location :Whippany, NJ(Hybrid)
Salary : $110k to $120k
Role Overview
We are looking for a hands-on AI Engineer with strong practical experience inPython, 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 usingLLMs, Agentic AI frameworks, and RAG architectures.
- Build and deploy enterprise AI solutions for business use cases.
- Develop backend services and AI workflows usingPython 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 usingGitHub 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.
- Strong hands-on experience inPython development.
- Good experience withTypeScript and modern application development.
- Practical experience withLLMs, prompt engineering, and AI application development.
- Hands-on knowledge ofAgentic AI, multi-agent systems, and workflow orchestration.
- Experience buildingRAG (Retrieval-Augmented Generation) solutions.
- Strong understanding ofGitHub 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.
- Experience with frameworks such asLangChain, LangGraph, CrewAI, AutoGen, or similar.
- Exposure to vector databases such asPinecone, 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 asDocker and Kubernetes.
- 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.
- 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.
AI Engineer / GenAI & Agentic AI Developer ยท PeopleNTech LLC