Senior AI Engineer
Senior full stack engineer on Visteon's Panorama team building and scaling Visteon's AI products end to end: frontend UI, backend APIs and services, and cloud deployment on AWS/Azure/GCP with containers. Requires 5+ years of full stack experience; AI/LLM product experience is a plus.
- Compensation
- Not disclosed
- Location
- Karnataka, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor's or master's degree in computer science, engineering, or a related discipline
- 5+ years of hands-on experience in full stack development
- Strong skills in at least one modern frontend technology (web or mobile) and at least one backend language
- Solid knowledge of relational databases, SQL, caching, REST APIs, authentication and application security
- Hands-on experience deploying and running applications on a cloud platform using containers (Docker or similar)
- Proven experience scaling backend systems (traffic handling, load balancing, database performance)
- Ability to learn a new language or framework quickly when needed
Nice to have
- Kubernetes, Terraform, CI/CD pipelines, monitoring tools (Prometheus, Grafana, Datadog), microservices
- Experience with AI products such as LLM apps, AI agents, vector databases or model deployment
- Key behaviours: critical thinking, collaboration, ownership, result orientation
Full description
Senior Full Stack EngineerPosition Overview: Build and scale Visteon’s AI products end to end, from the user
interface to the backend services and the cloud systems they run on. Own
features from design through production, and make sure our applications stay
fast, secure and reliable as usage grows. Work closely with AI/ML, product,
design and QA teams, and stay hands-on in solving complex engineering problems.
Key Objectives of this Role:
· Build complete web or mobile applications,
from the first screen to release, using any modern frontend stack.
· Turn designs into fast, accessible and
easy-to-use screens that work well on all screen sizes.
· Build and maintain shared UI components and
manage app state and data flow in a clean, predictable way.
· Design and build APIs and backend services
that are secure, well documented and easy to use.
· Design databases that stay fast as data
grows and choose the right storage for each need (SQL, NoSQL, cache or file
storage).
· Use caching, background job queues and
message queues to reduce load and keep systems responsive.
· Build secure login and access control and
protect data in storage and in transit.
· Deploy applications to the cloud (AWS, Azure
or GCP) using containers and set up systems that scale with traffic.
· Find and fix performance problems across the
full stack, from slow screens to slow queries and overloaded servers.
· Set up logging, monitoring and alerts so
problems are found and fixed quickly.
· Take part in code reviews, design
discussions and technical decisions, and help keep cloud costs under control.
Key Performance Indicators:
· On-time delivery of features with high
quality and few production issues.
· Application performance, uptime and ability
to handle growing traffic.
· Test coverage and reliability of releases.
· Reuse of shared components, services and
deployment patterns across the team.
· Feedback and satisfaction from product,
design and AI teams.
Key Year One Deliverables:
· Deliver multiple features end to end, from