Machine Learning Engineer LLMs & Agentic AI

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Amazon Web Services
Analytics
Apache Spark
Artificial Intelligence
Autogen
Collaboration
Computer Science
Continuous Delivery
Continuous Integration
Data Science
Fraud
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Microsoft Azure
Microsoft Certified Professional
Modeling
Open Source
Optimization
Pivotal
Publications
PyTorch
Python
Reasoning
Research
Research and Development
SQL
TensorFlow
Training
Unstructured Data
Vector Databases
scikit-learn

Job Details

Hi,

This is Jaydeep Singh from Empower Professionals, we have an opportunity for ML Engineer with strong LLM and Agentic AI.

Role: Machine Learning Engineer LLMs & Agentic AI

Location: Remote

Duration: 12+ Months

Must have:

  • LLM/ML
  • Python
  • RAG and Vector Databases
  • Multi-Agent Frameworks
  • LLM Ecosystems
  • ML Lifecycle Management

Description:

We are seeking a skilled and forward-looking Machine Learning Engineer with expertise in Large Language Models (LLMs), Generative AI, and Agentic Architectures to join our growing R&D and Applied AI team.

This role is pivotal in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls. You will collaborate closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize intelligent systems that power autonomous exception resolution, anomaly detection, and explainable insights.

This is a hands-on engineering role, where you will both build and scale ML systems and contribute to cutting-edge applied research in agentic AI.

Requirements:

  • Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field.
  • 3+ years of experience building and deploying ML systems.
  • Strong programming skills in Python, with experience in PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers.
  • Hands-on experience with LLMs/SLMs (fine-tuning, prompt design, inference optimization).
  • Demonstrated expertise in at least two of the following:
  • OpenAI GPT (chat, assistants, fine-tuning)
  • Anthropic Claude (safety-first reasoning, summarization)
  • Google Gemini (multimodal reasoning, enterprise APIs)
  • Meta LLaMA (open-source fine-tuned models)
  • Familiarity with vector databases, embeddings, and RAG pipelines.
  • Proficiency in handling structured and unstructured data at scale.
  • Working knowledge of SQL and distributed frameworks such as Spark or Ray.
  • Strong understanding of the ML lifecycle from data prep and training to deployment and monitoring.

Preferred Qualifications:

  • Experience with agentic frameworks such as LangChain, LangGraph, MCP, or AutoGen.
  • Knowledge of AI safety, guardrails, and explainability.
  • Hands-on experience deploying ML/LLM solutions in AWS, Google Cloud Platform, or Azure.
  • Experience with MLOps practices CI/CD, monitoring, and observability.
  • Background in anomaly detection, fraud/risk modeling, or behavioral analytics.
  • Contributions to open-source AI/ML projects or applied research publications.

Thanks

Jaydeep Singh Technical Recruiter | Empower Professionals

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