AI/ML Engineer @ W2

Overview

Hybrid
$70 - $80
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

AI/ML
Capital Markets
Capital Market
LLM
large language model
LangChain
LangGraph
Python
OpenAI

Job Details

Hi,

Hope you are doing good, this is Rajeev from FutureTech Consultants, LLC and I have a job opening with our direct client.

Please have a look at the below job description and let me know your interest. Please share me the latest copy of your resume.

Role: AI/ML Engineer

Location: NY/NJ (Hybrid)

Duration: Long Term Contract

Manager Note: Experience in Capital Markets is a Big Plus.

Overview:

  • We are seeking an experienced AI/ML Engineer with hands-on expertise in developing agentic AI systems autonomous or semi-autonomous agents capable of perceiving, deciding, and acting to achieve user-defined goals.
  • The ideal candidate has a strong foundation in machine learning, software engineering, and large language model (LLM) based agent frameworks such as LangChain or LangGraph, and experience delivering production-grade AI solutions.

Core Responsibilities:

  • Design and implement agentic AI systems that autonomously plan and execute tasks to achieve defined goals, with a focus on Python-based code generation.
  • Develop and deploy LLM-based agents using frameworks such as LangChain, LangGraph, HuggingFace Transformers, and custom runtimes.
  • Integrate AI agents with external APIs and services to enable orchestration across enterprise workflows and data systems.
  • Build and maintain end-to-end pipelines for model training, testing, and deployment in production environments (e.g., Azure ML, Databricks).
  • Collaborate with cross-functional teams to ensure scalability, trustworthiness, and robustness of deployed AI systems.

Technical Skills Required:

  • Programming: Python, SQL, PySpark.
  • Frameworks & Tools: LangChain, LangGraph, HuggingFace Transformers, OpenAI API, Databricks.
  • Cloud Platforms: Azure, AWS, Google Cloud Platform (preferred)
  • ML/AI Techniques: Reinforcement Learning, Multimodal Models, NLP, Vector Databases (FAISS, Pinecone), RAG Pipelines.
  • DevOps: CI/CD pipelines, Docker, Kubernetes, Airflow.
  • Agentic AI Exposure.
  • Understanding of agentic AI, where autonomous software entities perceive, decide, and act toward achieving goals.
  • Experience building multi-agent systems, enabling emergent behaviors and coordination between agents.
  • Familiarity with AI safety, interpretability, and trustworthiness concepts in production-grade systems.
  • Exposure to real-world use cases such as:
  • Generating Python code from business rules.
  • Automating data workflows.
  • Generating reports and decision-support systems.
  • Retrieval-Augmented Generation (RAG) and tool-using agents.

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field.
  • 3 10 years of experience in AI/ML, including at least 2 years working on agentic AI or autonomous systems.
  • Proven experience deploying production-grade AI solutions and integrating with enterprise data platforms.

Regards

Rajeev Mudakala

Sr. Talent Acquisition Specialist

FutureTech Consultants, LLC

5655 Peachtree Parkway, Suite 212, Peachtree Corners, GA 30092

Direct:

&

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.

About FutureTech Consultants LLC