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
- Backend and API development using Python, FastAPI, Node.js, and TypeScript
- Search and indexing using Elasticsearch for relevance, retrieval, and query optimization
- Event driven architecture and streaming using Apache Kafka
- Vector search and embeddings infrastructure using vector databases such as Milvus or Pinecone
- Cloud and infrastructure using Google Cloud Platform or Amazon Web Services with containerization via Docker and orchestration through Kubernetes
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