AI Engineer

Role - AI Engineer (Python & SQL)
Location: Remote (US/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 (GCP, 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 (GCP, 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, GCP 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.