Fullstack Ai Platform
6 days ago
Experience
: 5-10 years
Location
: Bengaluru,Chennai
Notice Period :
Immediate to 30 days
Job Description:
Job Summary:
We are looking for a motivated and technically proficient
Full Stack AI Platform Engineer
to contribute to the design, development, and deployment of intelligent, scalable, and cloud-native applications. This role involves working across the stack from frontend interfaces to backend services and AI integrations while collaborating with cross-functional teams to deliver impactful solutions.
Key Responsibilities
Frontend Development
- Develop responsive and dynamic
Single Page Applications (SPAs)
using
React
frameworks like
or
Remix
. - Build user interfaces that support
generative AI workflows
, including
streaming responses (SSE)
. - Collaborate with design and product teams to prototype and iterate on UI features.
- Use
TailwindCSS
or similar tools to streamline styling and layout.
Backend Development
- Build scalable backend services using
Python
and
FastAPI
, aligned with
Microservices Architecture (MSA)
principles. - Machine Learning and data science experience should be their.
- Develop and maintain
RESTful APIs
and support
MCP server/client
implementations. - Apply clean coding practices and contribute to unit testing and modular design.
Applied AI Engineering
- Integrate
generative AI capabilities
into backend systems, enabling real-time and streaming interactions. - Implement basic
prompt engineering
techniques and contribute to refining AI responses. - Support the implementation of
guardrails
for safe and reliable AI behavior.
DevOps & Cloud Automation
- Deploy containerized applications using
Docker Compose
and
Kubernetes
. - Automate infrastructure provisioning using
Terraform
. - Work within
AWS
,
Azure
, or other public cloud platforms to support CI/CD and environment management.
Required Skills:
- Frontend:
React, , TailwindCSS, JavaScript/TypeScript, SSE/WebSockets. - Backend:
Python, FastAPI, REST APIs, Microservices. - AI Engineering:
Prompt engineering basics, streaming AI responses, LangChain/OpenAI/Hugging Face,Machine learning,data science - DevOps:
Docker, Kubernetes, Terraform, CI/CD, AWS/Azure fundamentals.
Preferred Qualifications:
- Exposure to
vector databases
,
LLM orchestration frameworks
, and
real-time AI pipelines
. - Familiarity with
monitoring tools
and
cloud security best practices
. - Experience working in agile teams and contributing to cross-functional projects.
- Cloud or DevOps certifications are a plus.
Soft Skills:
- Strong problem-solving and analytical thinking.
- Effective communication and collaboration across teams.
- Eagerness to learn and grow in emerging technologies like generative AI.
- Ability to empathize with customer challenges and engage in conversations.
- Defining technical requirements based on business needs and conveying them to customers.
- Effectively communicating complex technical concepts to both technical and non-technical audiences.
- Correctly understanding the feasible requirements and limitations of AI and educating customers.
- Building close relationships with customers and understanding their requirements.
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