Job Description

Contact: talentacquisition@sbshr.com / 82486 03617

Job Title

: GenAI Full Stack Engineer

Location:

Remote

Experience:

5+ Years

Overview

We are looking for highly skilled

GenAI Full Stack Engineers

who are passionate about building, deploying, and scaling AI-driven applications. The ideal candidate will have strong expertise in Python, modern AI/GenAI frameworks, and large language models (LLMs), combined with a solid foundation in full-stack development, MLOps, and DevOps practices.

Key Responsibilities

Design, develop, and deploy scalable GenAI solutions across diverse domains. Implement, fine-tune, and manage

Large Language Models (LLMs)

to support real-world applications. Build and maintain robust

APIs using FastAPI

for AI-driven systems. Work with

data manipulation libraries

(Pandas, NumPy) to preprocess, transform, and optimize data pipelines. Collaborate with cross-functional teams to integrate AI models into production-ready applications. Apply

MLOps practices

to automate model deployment, monitoring, and retraining workflows. Ensure software quality through

unit testing, CI/CD pipelines, and code reviews

. Manage infrastructure using

Docker, Kubernetes, Jenkins, Terraform

, and cloud-native services. Contribute to architectural design, scalability planning, and system security.

Required Skills & Qualifications

5+ years of professional experience

in software development, with strong focus on AI/GenAI. Proficiency in

Python

and familiarity with major

AI/GenAI frameworks

(e.g., Hugging Face, LangChain, TensorFlow, PyTorch). Hands-on experience with

LLM implementation, fine-tuning, and management

. Strong knowledge of

FastAPI

for API development. Solid understanding of

data manipulation libraries

such as

Pandas

and

NumPy

. Proven expertise in

MLOps, ML Engineering, and Data Science

workflows. Proficiency with

DevOps tools

: Docker, Kubernetes, Jenkins, Terraform. Experience with

CI/CD pipelines

and advanced automation practices. Strong problem-solving, debugging, and optimization skills. Knowledge of

software engineering principles

, Git version control, and automated testing frameworks.

Preferred Qualifications

Experience deploying AI solutions in

cloud environments

(AWS, GCP, or Azure). Exposure to

vector databases

(e.g., Pinecone, Weaviate, FAISS). Familiarity with

prompt engineering

and

AI application design patterns

. Previous work in

enterprise-scale AI applications

or production-grade deployments.

What We Offer

Fully

remote work environment

. Competitive salary and performance-based incentives. Opportunity to work on

cutting-edge AI/GenAI projects

. Collaborative, fast-paced, and innovation-driven culture.
Job Types: Full-time, Permanent

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Work Location: Remote