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Swits Digital
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AI Senior Engineer

AI Senior Engineer

Swits Digital

7 - 12 years

9 - 14 Lacs

bengaluru

Posted:1 day ago| Platform:

Apply

Skills Required

solution architecture automation github coding postgresql machine learning cloud oracle open source python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title:

AI Senior Engineer

Experience:

7+ Years

Location:

Bangalore

We are seeking a

Senior AI Engineer

with strong expertise in software engineering, cloud platforms, and AI-powered development. The ideal candidate will combine deep technical proficiency in

.NET Core or Python

with hands-on experience in

AI frameworks, cloud technologies (AWS)

, and modern software architectures. This role involves designing and developing intelligent, scalable solutions leveraging the latest

AI and machine learning tools

Roles Responsibilities

Design and develop scalable, high-performance AI-driven applications and services.
Create and maintain high-level
solution architecture
and microservices-based systems.
Build and integrate
RESTful
and
GraphQL APIs
for AI and data-driven applications.
Implement AI workflows, data pipelines, and intelligent automation solutions.
Develop and deploy applications on
AWS Cloud
, ensuring efficiency and scalability.
Collaborate with cross-functional teams to define, design, and deliver innovative AI solutions.
Utilize
AI-powered engineering tools
to accelerate development and enhance productivity.
Ensure code quality, secure coding practices, and compliance with best development standards.
Support DevOps and CI/CD processes using
GitHub
and
GitHub Actions
.
Monitor and optimize system performance using tools such as
Observe
,
Prometheus
, and
Grafana
.
Continuously explore emerging AI frameworks, libraries, and tools for potential adoption.

Essential Skills

Minimum
7+ years
of hands-on experience in
software development
.
Proficiency in
.NET Core
or
Python
.
Strong understanding of
Microservices Architecture
and
API development
(REST, GraphQL).
Experience with
databases
such as Oracle, PostgreSQL, or AWS Aurora.
Extensive experience in
AWS Cloud
services.
Hands-on expertise with
source control
(GitHub) and
CI/CD pipelines
(GitHub Actions).
Awareness or experience in
DevOps / DevSecOps
methodologies.
Familiarity with
monitoring tools
such as Observe, Prometheus, Grafana.
Experience in
Secure Coding Practices
.
Strong experience using
AI-powered development tools
like Cline and GitHub Copilot.
Knowledge or exposure to
AI ecosystems
such as Anthropic Claude, Llama, LiteLLM, Cursor, Windsurf / Codeium, VO Vercel, Continue, Aider, Cline, LangChain, LangGraph, and Hugging Face.
Exposure to
RAG (Retrieval-Augmented Generation)
using LlamaIndex, LangChain, or similar frameworks.
Experience building
Agentic AI systems
using AutoGen, SemanticKernel, Pydantic, or related frameworks.
Excellent communication and documentation skills.
Strong problem-solving abilities and a proactive, self-managed work approach.

Good to Have

Hands-on experience integrating AI models into enterprise-grade applications.
Certification in
AWS
,
AI/ML
, or
Cloud Architecture
.
Experience working in an
Agile/Scrum
environment.
Contributions to
open-source AI projects
or research initiatives.

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