AI Engineer
AI/ML
Remote
Permanent / Full Time
About the job:
Title: AI Engineer
Start Date: Immediate
Position Type: Full-time Employment
Location: Hybrid in San Francisco , US
Job Description:
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
