AI Engineer - ADDSOURCE - Hybrid | Dice.com

ADDSOURCE

Apply Now

AI Engineer

Hybrid • Posted 9 days ago • Updated 2 hours ago

Full Time

Hybrid

Apply Now

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Job Details

Skills

Python
Amazon Web Services
Microservice
Best Practices
SQL
Applications Development
Structured Software
Maintenance
Deployment
Version Control
Control Systems
Kubernetes
Containerization
OOP
Data Structures
Continuous Integration/Delivery
C++
Machine Learning
GCP
DATA SCIENCE
Docker
pytorch
B2B Software
mentor
Natural Language Processing
Problem-Solving
Artificial Intelligence
Reinforcement Learning
Statistics
Computer Vision
Deep Learning

Summary

Role - AI Engineer (Python & SQL)

Location: Remote (Canada)

Duration: Long Term

Overview

As an AI Engineer, you will play a pivotal role in designing, developing, and deploying domain-specific AI agents and solutions that drive organizational transformation. You'll collaborate with cross-functional teams, lead technical initiatives, and ensure the delivery of scalable, production-ready AI systems.

Key Responsibilities

AI Development & Solution Delivery

Research, design, and develop generative AI-driven features and experiences tailored to user preferences and behaviours.
Build, prototype, iterate, and deploy domain-specific AI agents capable of communication, information gathering, insight generation, and intelligent actions.
Architect and implement scalable AI systems, including feature pipelines, model stores, and frameworks for reproducible research.
Lead end-to-end development of AI infrastructure and applications, from proof-of-concept to production deployment and ongoing maintenance.
Implement automated systems for continuous training, validation, and monitoring of models to ensure reliability and minimize downtime.
AI applications development aid with improvements in evaluation, prompt engineering, and AI interface

Collaboration & Leadership

Work closely with product designers, managers, data engineers, and business stakeholders to define requirements, prioritize features, and align AI initiatives with business goals.
Collaborate with transformation teams and AI platform teams to build scalable, cross-domain AI agents and solutions.
Mentor junior AI engineers and data scientists, conduct code reviews, and promote best practices in AI development.
Provide guidance on data science best practices and advise on emerging AI technologies, frameworks, and tools.
Integration & Deployment
Deploy, monitor, and optimize AI agents on cloud infrastructure (Google Cloud Platform, Azure), ensuring high availability and performance.
Build APIs, microservices, and data integrations for AI features, following industry best practices for maintainable code.
Ensure ethical AI development and compliance with data privacy regulations.

Continuous Learning & Innovation

Stay current with advancements in AI, machine learning, and software engineering, integrating new technologies into existing or new AI agents.
Drive experimentation and innovation by evaluating and recommending cutting-edge AI technologies.
Conduct thorough testing and validation to ensure reliability and accuracy of AI solutions.

Qualifications

Master's or PhD in Computer Science, Mathematics, Physics, Statistics, or a related quantitative field.
5 7 years' experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments.
Minimum 4 years' experience in machine learning; at least 2 years hands-on with Agentic, LLM, and NLP-based applications.
Proficiency in Python and SQL; production-quality OOP skills (Python, C++, etc.).
Experience with ML frameworks (TensorFlow, PyTorch).
Strong understanding of software development methodologies (agile, version control, CI/CD pipelines for ML).
Experience with public cloud platforms (Google Cloud Platform, Azure) and containerization (Docker, Kubernetes).
Hands-on experience building ML solutions from inception to launch, including MLOps/AIOps infrastructure.
Solid grasp of data structures, algorithms, and software engineering principles.
Experience in supervised, unsupervised, or reinforcement learning paradigms.
Excellent problem-solving, analytical reasoning, communication, and collaboration skills.
Interest in prompt engineering, AI safety, and scalable deployment.
Ability to work cross-functionally and communicate solutions that meet business objectives.
Travel may be required for team collaboration, conferences, or vendor meetings.

Success Essentials

Partner with AI leadership to shape the AI/ML roadmap and lead a team of AI engineers.
Architect and implement scalable AI systems to solve complex business problems.
Mentor and guide junior engineers and data scientists.
Ensure ethical, compliant, and innovative AI development.
Present technical results and engage with business partners to define project requirements.

How you will contribute:

Conduct research, design, and develop generative AI-driven features and experiences customized to the unique preferences and behaviors of our users.
Utilize cutting-edge technologies such as machine learning, natural language processing (NLP), computer vision, and other AI methodologies to improve product functionality
Collaborate effectively with cross-functional teams to seamlessly integrate AI capabilities into existing products and pioneer the development of new AI-powered solutions.
Work closely with product designers to define requirements, prioritize features, and craft intuitive user interfaces for AI-powered features.
Implement, test, and deploy scalable machine learning solutions in production.
Stay current with the latest advancements in machine learning and artificial intelligence.

Who we are looking for:

4+ years' experience in Machine Learning.
Minimum of 2 years of hands-on experience in developing Agentic, LLM and NLP based applications
Proficient in machine learning, deep learning, and generative AI techniques
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Proficiency in Python and SQL
Strong understanding of software development methodologies, including agile development practices, version control systems, and CI/CD pipelines for ML
Experience in applying supervised, unsupervised or reinforcement learning paradigms to business problems
Proven track record of deploying AI models in production.
Experience with public cloud platforms (AWS, Google Cloud Platform or Azure) and containerization technologies (Docker, Kubernetes).
Strong problem-solving skills to devise innovative and creative AI solutions.
Excellent communication and collaboration skills in a fast-paced environment.

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: 91122967
Position Id: 2025-3760/87486
Posted 9 days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Engineer

Remote or Hybrid in Boston, Massachusetts

•

Today

Job Title: AI Engineer Company: Aaratech Inc Job Summary: Aaratech Inc is looking for an innovative AI Engineer to join our team in Texas. The ideal candidate will have hands-on experience in designing, developing, and deploying AI/ML models that solve real-world business problems. You will collaborate with cross-functional teams to build intelligent systems and scalable solutions that drive business impact. Key Responsibilities: Design, develop, and deploy AI/ML models for production environmen

Easy Apply

Contract

$60,000 - $80,000

AI Engineer (Generative AI)

Hybrid in Palo Alto, California

•

Today

Job Summary: We are looking for an innovative AI Engineer to join our team in Texas. The ideal candidate will have hands-on experience in designing, developing, and deploying AI/ML models that solve real-world business problems. You will collaborate with cross-functional teams to build intelligent systems and scalable solutions that drive business impact. Key Responsibilities: Design, develop, and deploy AI/ML models for production environments Collaborate with engineering and product teams to i

Easy Apply

Full-time

$70,000 - $80,000

AI/ML Engineer

Hybrid in Chicago, Illinois

•

Today

Job Title: AI/ML Engineer Location: Chicago, IL (Hybrid) Contract: W2 Only Duration: 12+ Months Job Summary: We are looking for a talented and driven AI/ML Engineer to join our data science and engineering team. The ideal candidate will have hands-on experience in designing, developing, and deploying machine learning models and AI solutions to solve real-world business problems. You will work closely with data scientists, software engineers, and product teams to build intelligent systems that dr

Easy Apply

Contract

Depends on Experience

AI Research Engineer / Orlando, FL

Orlando, Florida

•

Today

Job Description You will be a Analytics / AI Research Engineer in our Software Engineering organization. Lockheed Martin is a global security and aerospace company that employs approximately 114,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services. Lockheed Martin Missiles and Fire Control (MFC) is one of four Lockheed Martin business areas. MFC is a recognized design

Full-time

USD 108,800.00 - 191,820.00 per year

AI Engineer

Dice Job Match Score™

Dice Job Match Score™

Job Details

Skills

Summary

Similar Jobs

Dice Job Match Score™

Rahil Khan