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AI/ML Engineer - Generative AI & Agentic Systems

Dallas, TX, US • Posted 11 hours ago • Updated 11 hours ago

Contract W2

Contract Independent

12 Months

On-site

Depends on Experience

Fitment

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Job Details

Skills

A/B Testing
API
Analytical Skill
Artificial Intelligence
Cloud Computing
Clustering
Collaboration
Conflict Resolution
Evaluation
Generative Artificial Intelligence (AI)
Language Models
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Optimization
Orchestration
Predictive Analytics
Problem Solving
Research
Semantic Search
Software Engineering
System Monitoring
Training
Use Cases
Vector Databases
Workflow

Summary

Job Description: AI/ML Engineer - Generative AI & Agentic Systems

Role Overview: We are seeking a highly skilled AI / ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Agentic AI systems to design, develop, and deploy intelligent applications at scale. The ideal candidate should possess hands-on experience building AI-driven solutions using modern frameworks, implementing production-grade machine learning systems, and integrating advanced language model capabilities into enterprise workflows.
Key Responsibilities

Design, develop, and deploy scalable AI and machine learning solutions for real-world applications.
Build and optimize Generative AI applications leveraging Large Language Models (LLMs).
Develop Agentic AI and multi-agent workflows using modern orchestration frameworks.
Design and implement Retrieval-Augmented Generation (RAG) architectures with semantic search capabilities.
Engineer prompts and optimize LLM outputs for accuracy, reliability, and business outcomes.
Fine-tune, evaluate, and benchmark AI models for domain-specific use cases.
Develop custom machine learning models for classification, clustering, recommendation systems, and predictive analytics.
Perform feature engineering, model selection, experimentation, and optimization.
Build end-to-end ML pipelines and manage model lifecycle processes using MLOps practices.
Collaborate with cross-functional teams to integrate AI solutions into production environments.
Monitor model performance, conduct evaluations, and continuously improve deployed systems.

Required Technical Skills

AI / Machine Learning
Generative AI and Large Language Models (LLMs)
Agentic AI and Multi-Agent Systems
Retrieval-Augmented Generation (RAG)
Semantic Search Architectures
Prompt Engineering
Fine-Tuning and Model Evaluation
Custom Machine Learning Model Development
Classification Models
Clustering Techniques
Recommendation Systems
Predictive Analytics
Feature Engineering
MLOps and Model Lifecycle Management
Frameworks & Libraries
LangGraph
LangChain
CrewAI (preferred)
AutoGen
MCP (Model Context Protocol)
OpenAI APIs
Anthropic Claude APIs
Hugging Face Ecosystem
Scikit-Learn
XGBoost
PyTorch

Preferred Qualifications

Experience building production-grade AI systems using cloud-native architectures.
Understanding of multi-agent orchestration and workflow automation.
Experience with model evaluation, observability, and AI system monitoring.
Strong software engineering fundamentals and API integration experience.
Familiarity with scalable deployment patterns for AI applications.

Nice to Have

Experience with vector databases and embedding pipelines.
Exposure to distributed training or large-scale inference systems.
Experience with experimentation frameworks and A/B testing for AI systems.
Knowledge of responsible AI practices and model governance.
Ideal Candidate Profile
Strong analytical and problem-solving skills.
Ability to translate business requirements into AI solutions.
Comfortable working across research, experimentation, and production environments.
Passionate about emerging AI technologies and continuous learning.

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: 90943978
Position Id: 8991340
Posted 11 hours ago

Contact the job poster

Vamsi Krishna

Senior Talent Acquisition Specialist @ SSTech LLC

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