[Hiring] Senior AI Software Engineer @Quantrics Enterprises Inc.

Role Description

• Design, build, and deploy AI/ML solutions using GCP Vertex AI, BigQuery ML, and AI Platform for model training, deployment, and serving.
• Develop and maintain platform services for AI agent orchestration, RAG pipelines, and LLM integration using Python, FastAPI, and Flask.
• Collaborate with cross-functional teams to support CI/CD pipelines for ML models, GitLab workflows, and MLOps automation.
• Work with GCP services including Cloud Functions, Cloud Run, Dataflow, and Pub/Sub to build event-driven AI architectures.
• Build and optimize data pipelines using BigQuery, Dataflow, and Apache Airflow for AI model training and inference.
• Contribute to automation, observability, and reliability initiatives for AI systems using GCP Cloud Operations and New Relic.
• Lead and mentor team members in AI/ML engineering best practices, fostering a culture of learning and innovation.
• Explore and integrate cutting-edge AI capabilities (LLMs, vector databases, prompt engineering) into platform solutions.
• Develop customized AI solutions and integrations to meet development teams' requirements, leveraging GCP APIs, SDKs, and LangChain.
• Create technical documentation, tutorials, and training materials to support AI/ML adoption and facilitate knowledge transfer.
• Stay up to date on latest AI/ML technologies, GCP products, and industry trends, serving as a subject matter expert for the organization.
• Analyze existing AI workflows and processes to identify areas for optimization and efficiency gains.
• Implement scalable AI systems and tools to automate repetitive tasks, streamline ML operations, and enhance developer productivity.

Qualifications

• University degree in computer science, software engineering, or other relevant discipline, or equivalent combination of education and experience.

Requirements

• 7+ years of experience in Software Engineering.
• 3+ years of experience focusing on AI/ML engineering, specializing in scalable AI infrastructure and model deployment.
• 3+ years of experience in Python for AI/ML development (TensorFlow, PyTorch).
• 2+ years of experience with GCP AI/ML services (Vertex AI, BigQuery ML, AI Platform, AutoML).
• 1+ years of experience building and deploying production AI systems including LLM integration, RAG architectures, and vector databases.
• 5+ years of experience with Git, Docker, and Kubernetes for containerized ML workloads.
• 1+ years of experience in problem-solving skills and a proactive attitude toward learning new AI technologies.

Benefits

• Experience with LangChain or other LLM orchestration frameworks.
• Knowledge of vector databases and semantic search.
• Experience with agentic AI frameworks, React patterns, or autonomous agent architectures.
• Familiarity with prompt engineering, fine-tuning, and LLM evaluation techniques.
• Knowledge of service mesh, API gateways, or event-driven architecture on GCP.
• Contributions to open-source AI/ML projects or technical communities.
• Experience with Cohere, Anthropic Claude, or Google Gemini.
• Knowledge of testing frameworks for ML systems (unit tests, model validation, A/B testing).