Ai engineer

Job Title : AI Engineer (Hybrid – Bangalore | 5+ Years Experience)

Location :

Bangalore (Hybrid – 2 Days Office)

Experience : 5+ Years

Company : [Your Company Name]

About the Role : We are seeking an

experienced AI Engineer

with strong expertise in

Python, Machine Learning, and Generative AI (GenAI) . The ideal candidate will have hands-on experience with

Large Language Models (LLMs) ,

vector databases , and

cloud-native deployments . You’ll design, develop, and deploy

AI-powered systems

that are scalable, high-performing, and seamlessly integrated across platforms.

Key Responsibilities :

Design, develop, and deploy

scalable AI / ML systems and intelligent services .

Build robust

APIs and back-end components

integrating LLMs, embeddings, and vector databases (FAISS, Pinecone, etc.).

Fine-tune and optimize

AI / ML models for specific business use cases.

Develop

reusable, efficient Python code

to support AI workflows.

Integrate

user-facing elements

with AI-driven back-end logic.

Ensure

high performance, reliability, and responsiveness

of AI services.

Collaborate cross-functionally with

data scientists, DevOps, and product teams .

Work with

Docker

and manage deployments on

AWS

(EC2, S3, Lambda, SageMaker).

Implement and maintain

CI / CD pipelines

for continuous integration and delivery.

Monitor and enhance

AI systems in production

for optimal performance.

Mentor junior developers

and foster an AI-first engineering culture.

Stay updated with the

latest AI research, tools, and industry trends .

Skills & Qualifications :

✅ Proven experience as an

AI / ML Engineer

or similar role.

✅ Strong command of

Python

and frameworks like

PyTorch, TensorFlow, or Hugging Face Transformers .

✅ Hands-on with

GenAI, LLMs, embeddings, and vector databases

(FAISS, Pinecone, etc.).

✅ Knowledge of

RAG (Retrieval-Augmented Generation)

and

prompt engineering .

✅ Experience with

model fine-tuning, deployment, and inference optimization .

✅ Proficiency in

FastAPI

or similar modern Python frameworks.

✅ Knowledge of

ORMs (SQLAlchemy)

and database design (SQL & NoSQL).

✅ Solid experience with

Docker

and

container orchestration .

✅ Strong understanding of

AWS

cloud services (EC2, S3, Lambda, SageMaker).

✅ Familiarity with

authentication, authorization, and API security .

✅ Basic

front-end understanding

(HTML5, CSS3, JavaScript) – a plus.

✅ Strong grasp of

performance optimization, distributed systems , and

scalable architectures .

✅ Proficiency with

Git , version control,

unit testing , and debugging.

✅ Bachelor’s or Master’s in

Computer Science, AI, Data Science, or related field .

✅ Excellent

problem-solving, communication, and teamwork skills .