Agentic AI / ML Software Engineer

Jersey City, NJ, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Agentic AI
  • AI Agents
  • Agentic Workflows
  • Generative AI
  • GenAI
  • Large Language Models
  • LLM
  • Prompt Engineering
  • Prompt Tuning
  • AI Orchestration
  • AI Automation
  • Autonomous Agents
  • Multi-Agent Systems
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • MCP
  • Model Context Protocol
  • Retrieval-Augmented Generation
  • RAG
  • Vector Database
  • Embeddings
  • Pinecone
  • Weaviate
  • ChromaDB
  • FAISS
  • Python
  • Java
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • TensorFlow
  • PyTorch
  • Hugging Face
  • Scikit-learn
  • MLflow
  • MLOps
  • Model Monitoring
  • CI/CD
  • Kubernetes
  • Docker
  • Ray
  • Slurm
  • Distributed Systems
  • AWS
  • Amazon Web Services
  • Azure
  • Azure AI
  • Bedrock
  • Amazon SageMaker
  • Azure OpenAI
  • OpenAI API
  • REST API
  • Microservices
  • Investment Banking
  • Financial Services
  • KYC
  • AML
  • Production AI
  • Cloud Computing
  • Software Engineer
  • AI Engineer
  • ML Engineer
  • Senior Software Engineer
  • Jersey City NJ
  • Plano TX

Summary

Agentic AI / ML Software Engineer

Location: Jersey City, NJ / Plano, TX
Employment Type: W2 Only
Local candidates preferred

Job Description

We are seeking an experienced Agentic AI / ML Software Engineer to design, develop, and deploy enterprise-scale AI and Machine Learning solutions. The ideal candidate will have strong experience implementing Agentic AI applications, building production-ready ML models, and leveraging cloud platforms to deliver scalable AI solutions.

Required Qualifications

  • 8+ years of overall Software Engineering experience.
  • Hands-on experience implementing Agentic AI solutions in production environments.
  • Strong programming experience in Python or Java.
  • Solid experience with Machine Learning frameworks and tools.
  • Experience working with public cloud platforms such as AWS or Azure.
  • Excellent verbal and written communication skills.
  • Proven ability to collaborate with cross-functional teams.

Preferred Qualifications

  • Investment Banking or Financial Services experience.
  • KYC (Know Your Customer) domain experience.
  • Strong AWS experience.
  • Hands-on technical leadership experience.

Responsibilities

  • Design, develop, train, and deploy large-scale AI/ML models for enterprise applications.
  • Build and optimize Agentic AI workflows and orchestration frameworks.
  • Develop prompt engineering strategies for LLM-based applications.
  • Deploy and manage AI workloads on cloud platforms.
  • Build scalable distributed AI systems using technologies such as Kubernetes, Ray, or Slurm.
  • Implement MLOps best practices including MLflow, model monitoring, CI/CD pipelines, and model lifecycle management.
  • Collaborate with Product Managers, Data Scientists, and Engineering teams to deliver AI-driven business solutions.
  • Ensure high-quality, scalable, and production-ready AI solutions.

Required Technical Skills

  • Agentic AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Python or Java
  • Machine Learning
  • AWS / Azure
  • Kubernetes
  • Ray
  • Slurm
  • MLflow
  • MLOps
  • Model Monitoring
  • CI/CD for ML
  • Distributed Systems

Location: Jersey City, NJ or Plano, TX
Employment Type: W2 Only

Local candidates are highly preferred.

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: 91170923
  • Position Id: 9050025
  • Posted 1 hour ago
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Venkat Kamisetti

Recruiter @ Congensys Corp.
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