Senior AI/ML Engineer – Agentic AI & GenAI

BlackCube Labs; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

BlackCube Labs is seeking a Senior AI/ML Engineer in Whippany, NJ with hybrid work arrangements. The role emphasizes designing and deploying ML and Generative AI solutions for financial services, leveraging Python, PySpark, NLP, and cloud platforms like AWS SageMaker and Amazon Bedrock.

You will build autonomous agent workflows, multi-agent systems, and enterprise automation, while implementing production-grade AI systems with CI/CD, Docker, and Kubernetes.

Qualifications

• Strong experience in designing and deploying ML, AI, Generative AI, and Agentic AI in finance.
• Proficiency in Python, SQL, PySpark, with cloud ML platforms like SageMaker and Bedrock.
• Hands-on with NLP/LLMs, agent orchestration, and enterprise automation.

Responsibilities

• Design and deploy ML/AI apps for financial services.
• Build autonomous agent workflows and multi-agent systems.
• Develop production-grade AI pipelines with CI/CD.
• Create inference and deployment pipelines using Docker/Kubernetes.
• Integrate dashboards via Tableau or Power BI for analytics.
• Implement data processing with Spark, Hadoop, Kafka, and Databricks.

Skills

Python

SQL

PySpark

TensorFlow

NLP

LLMs

Agentic AI

RAG Pipelines

LangChain

Docker

Kubernetes

REST APIs

CI/CD

AWS SageMaker

Amazon Bedrock

Tableau

Power BI

Tools

Python

SQL

PySpark

TensorFlow

SageMaker

Bedrock

NLP

LLMs

LangChain

LangGraph

Vector Databases

REST APIs

MLflow

Docker

Kubernetes

Spark

Hadoop

Kafka

Tableau

Power BI

CI/CD

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.