Senior AI/ML Engineer – Agentic AI & GenAI

BlackCube Labs; Whippany (NJ); Hybrid; USD 140,000 - 200,000; Full time

Job summary

BlackCube Labs seeks a Senior AI/ML Engineer to design and deploy advanced ML and AI solutions in a hybrid work setting in Whippany, NJ. You will lead development of generative AI, agentic AI, and enterprise automation for financial services, leveraging Python, SQL, PySpark, and AWS SageMaker.

The role requires deep hands-on experience with LLMs, AI agents, LangChain, and cloud platforms like AWS and Azure, plus strong data processing and CI/CD skills for scalable systems.

Qualifications

• Strong experience in designing and deploying ML/AI/Generative AI applications in financial services.
• Programming skills include Python, SQL, R, SAS, PySpark, PostgreSQL, MySQL, MongoDB, NoSQL.

Responsibilities

• Build intelligent AI applications, autonomous agent workflows, multi-agent systems, and enterprise automation solutions.
• Experience with prompt engineering, RAG pipelines, AI agent orchestration, model deployment, inference pipelines, CI/CD, and production-grade AI systems.

Skills

Python

SQL

PySpark

AWS SageMaker

Amazon Bedrock

NLP

LLMs

Agentic AI

Tools

TensorFlow

MLflow

Docker

Kubernetes

REST APIs

Tableau

Power BI

LangChain

LangGraph

Job description

Job title - Senior AI/ML Engineer

Work location - Whippany, NJ 07981 (Hybrid)

Duration: Long term contract

Mandatory skills required

• Python, SQL, PySpark, AWS SageMaker, Amazon Bedrock, NLP, LLMs, Agentic AI

Complete job description

• Strong experience in designing and deploying Machine Learning, AI, Generative AI, and Agentic AI applications in financial services.
• Programing skills will be Python, SQL, R, SAS, PySpark, PostgreSQL, MySQL, MongoDB, NoSQL.
• Should have excellent experience in Python, SQL, PySpark, TensorFlow, AWS SageMaker, Amazon Bedrock, NLP, LLMs, Agentic AI, and MLOps to build intelligent AI applications, autonomous agent workflows, multi-agent systems, and enterprise automation solutions.
• Should have good experienced in Prompt Engineering, RAG Pipelines, AI Agent Orchestration, Model Deployment, Inference Pipelines, CI/CD, and Production-Grade AI Systems, supporting enterprise automation and decision-making initiatives.
• Must have hands-on expertise with LLMs, AI Agents, LangChain, LangGraph, Function Calling, Vector Databases, REST APIs, MLflow, Docker, and Kubernetes.
• Candidate should have good experience in Tableau, Power BI, Rest APIs and CI/CD Pipelines.
• Must have strong experience in Cloud Platforms like AWS Bedrock, SageMaker, S3, EC2, Lambda and Azure - ML Studio, Databricks & GCP
• Mandatory experience in large data processing methods . Such as Data Analysis, Predictive Modeling, Feature Engineering, Data Preprocessing, ETL Pipelines, Apache Spark, Hadoop, Kafka, Hive, Databricks, Data Modeling.
• Candidate should have deep Learning, NLP & Agentic AI frame works . Such as Transformer Models, BERT, GPT, LLMs, AI Agents, ClientP, A2A, LLM Evaluation, Prompt Engineering, RAG Pipelines, LangChain, Hugging Face Transformers, Fine-Tuning, LangGraph, Function Calling.