[Remote] Senior Software Engineer, 1

Note: The job is a remote job and is open to candidates in USA. People Inc. is looking for a Senior Software Engineer 1 to join their AI/ML Engineering Platform team. In this role, you will design and build scalable distributed systems and collaborate with various teams to create service applications and contribute to the technical roadmap.

Responsibilities

• Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment to support ranking, retrieval, and recommendation personalization use cases
• Develop and maintain data pipelines that support feature generation, model training, and analytics workflows. Own vector generation via Milvus, storage, and retrieval workflows
• Implement model serving solutions using KServe and build APIs using FastAPI for low latency inference
• Build observability and monitoring for models and pipelines. Track performance, drift, failures, and data quality issues
• Collaborate with data scientists, product managers, and platform teams to define and deliver ML driven features
• Investigate production issues across data pipelines, models, and services. Identify bottlenecks and improve reliability and performance
• Create and maintain clear documentation for pipelines, models, APIs, and operational processes
• Develop internal tools and dashboards to provide visibility into data processing and model behavior for stakeholders
• Contribute to engineering standards, code quality, and best practices across Python-based services and ML systems
• Stay current with ML infrastructure, MLOps practices, and relevant tools. Bring in improvements where they add clear value
• Own production systems. Debug issues across indexing, retrieval, ranking, and serving layers
• Create clear documentation for pipelines, models, APIs, and system design
• Contribute to best practices for Python based ML systems, API design, and scalable infrastructure
• Stay current with advancements in search, ranking, and recommendation systems. Apply them where they make practical impact

Skills

• Bachelor's degree in Computer Science, Engineering, or a related field
• 6+ years of experience building scalable backend systems and services
• 5+ years of experience developing software using object oriented languages, with strong proficiency in Python, Node.js, and TypeScript
• Hands on experience with ES for search, indexing, and relevance tuning
• Experience with event driven systems using Apache Kafka for real time data pipelines and processing
• Strong understanding of version control systems including Git and platforms like Bitbucket
• Experience with observability and monitoring tools such as Grafana, Kibana, and APM
• Familiarity with cloud platforms including AWS and GCP, along with containerization using Docker and orchestration with Kubernetes
• Comfortable deploying, versioning, and monitoring models in production
• Curiosity to learn new technologies, especially in AI, LLMs, and modern search and recommendation systems, with a focus on applying them in real production use cases
• Experience designing and building data pipelines using Apache Beam and Apache Airflow for ingestion, transformation, and feature pipelines
• Familiarity with experimentation and analytics tools such as Jupyter Notebook and Apache Spark to track and reproduce experiments
• Strong experience designing and consuming RESTful and GraphQL APIs, including versioning, documentation, and security practices like OAuth and JWT
• Good understanding of machine learning concepts including supervised learning, unsupervised learning, deep learning, and natural language processing, with practical application in ranking, retrieval, and personalization
• Beginner level experience managing ML pipelines using Vertex AI Pipelines for training, evaluation, and deployment workflows
• Ability to review code, provide clear feedback, and improve overall engineering quality
• Strong communication skills. Able to explain technical concepts clearly to both technical and non technical stakeholders
• Solid problem solving skills with a data driven approach

Benefits

• Annual bonuses
• Short- and long-term incentives
• Medical
• Dental
• Vision
• Prescription drug coverage
• Unlimited paid time off (PTO)
• Adoption or surrogate assistance
• Donation matching
• Tuition reimbursement
• Basic life insurance
• Basic accidental death & dismemberment
• Supplemental life insurance
• Supplemental accident insurance
• Commuter benefits
• Short term and long term disability
• Health savings and flexible spending accounts
• Family care benefits
• A generous 401K savings plan with a company match program
• 10-12 paid holidays annually
• Generous paid parental leave (birthing and non-birthing parents)
• Voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance

Company Overview