AI Engineer (L1)

Company Description: Sroniyan Technology is a global Indian company, known for its expertise in artificial intelligence, internet-related services, and software products. Since its inception in 2014 and official founding in 2018, the company has been at the forefront of innovative solutions in areas such as machine learning, deep learning, natural language processing, and cloud computing implementation. Sroniyan has earned international recognition for its cutting-edge advancements, including frameworks that enhance medical research and innovative products like the Sroniyan Watch. With a culture of creativity and inclusivity, Sroniyan encourages every team member to contribute to groundbreaking innovations that shape industries worldwide.

Role Description: We are looking for a motivated and enthusiastic

Junior AI Engineer

to support our team in building

AI/ML solutions and LLM/Agentic AI applications . This role is best suited for candidates who want to grow fast by working on real projects, understanding client needs, and contributing to end-to-end product development.

Mandatory Experience Range:

1 - 3 years

(Required)

Responsibilities: Work closely with the team on

AI/ML product development

(data preparation, model development, evaluation, deployment support). Support development of

LLM-based applications

including

Agentic AI workflows

(tools, function calling, multi-step reasoning flows). Understand and document

client requirements , convert them into technical tasks, and support delivery. Assist in building and maintaining

REST APIs

for AI services and integration with product features. Participate in discussions on performance, quality improvements, and quick troubleshooting with the team.

Mandatory Skills: Minimum

1 year hands-on experience in AI/ML

(mandatory). Minimum

1 year hands-on experience in LLM / Agentic AI

(mandatory). 2–3 years hands-on Python experience

with strong coding basics. Experience building

REST APIs

(FastAPI / Flask / Django REST or similar). Experience working on at least one cloud platform:

AWS / Azure / GCP . Very strong communication skills

(must be able to understand requirements and explain work clearly). Must fall within

1 to 3 years total experience

(mandatory). Experience with

Docker

and basic knowledge of

Kubernetes .

Bonus (Good to Have): Immediate joiner

or available to start quickly.

This role is ideal for someone who wants to learn, experiment, and grow in artificial Intelligence.