Ai engineer

3 days ago

Bengaluru, Karnataka, India PROADSW3 Relations pvt. ltd. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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
.

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