30,304 AI Engineering Positions jobs in India

• 4+ years of Deep Learning experience and 10+ years of Machine learning experience targeted to product development
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus

• 4+ years of Deep Learning experience and 10+ years of Machine learning experience targeted to product development
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus

• 4+ years of Deep Learning experience and 10+ years of Machine learning experience targeted to product development
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus

Job Description:

Not available at the moment

Skills Required:

•AWS working understanding e.g. Lambda Sagemaker • Vector databases

Desirable Skills:

Not available at the moment

At Arctic Wolf, we're redefining the cybersecurity landscape. With our employee Pack
members, spread out globally, committed to setting new industry standards. Our
accomplishments speak for themselves, from our recognition in the Forbes Cloud 100,
CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 to winning the 2024 CRN
Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape
for Worldwide Managed Detection and Response Services and earning a Customers' Choice
distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s
Products of the Year award in the inaugural Security Operations Platform category. Join a
company that’s not only leading, but also shaping, the future of security operations.
Our mission is simple: End Cyber Risk. We’re looking for a Developer to be part of making
this happen.
 About The Team
Our team is at the forefront of integrating cybersecurity operations with advanced data
intelligence. We transform complex security telemetry into actionable insights by leveraging
cutting-edge AI technologies and scalable data platforms like Databricks. Our work supports
multiple security products and internal teams, providing the foundation for advanced threat
intelligence.
We are evolving our capabilities by developing intelligent cybersecurity data processing AI
agents to enhance automation, efficiency, and analytical capabilities in threat detection and
response.
 About the Role
As a Software Developer – Agentic AI & LLM Platforms, you will build intelligent,
scalable systems that transform complex data into actionable insights. You’ll work at the
intersection of LLMs, agentic workflows, cloud-native data pipelines, and modern API
development — enabling advanced automation and intuitive interfaces for data exploration.
This role is ideal for a highly skilled developer with strong coding, system design, and
communication skills, who is passionate about AI engineering, modern APIs, and high-
performance data platforms.
 Responsibilities
Design and build natural language interfaces powered by LLMs for querying
complex datasets.
evelop FastAPI-based services and APIs for integrating AI-driven applications.
e LangGraph or similar frameworks to orchestrate agentic AI workflows.
llaborate closely with product, ML, and platform teams to turn ideas into
production-grade software.
ite clean, scalable, and well-tested code following best practices. rticipate in architecture reviews, design discussions, and code reviews.
timize cloud-based workflows for scalable, high-throughput data processing on
AWS.
 Required Qualifications
 years of experience in software development, with strong focus on backend/API
or data-heavy systems.
rong proficiency in Python and SQL for data manipulation, analysis, and backend
development.
oven experience building production APIs using FastAPI, Flask, or similar.
perience integrating and orchestrating LLMs and AI agents (LangGraph,
LangChain, or custom orchestration).
lid understanding of software design principles, architecture patterns, and
performance tuning.
nds-on experience with AWS services for scalable and secure compute and
storage.
perience working in Agile/Scrum/Kanban environments with modern
development practices (CI/CD, testing, code reviews).
Preferred Qualifications
posure to cybersecurity telemetry (e.g., alerts, logs, SIEM, network data) is a
plus.
miliarity with threat intelligence frameworks like MITRE ATT&CK is a bonus.
perience working with Apache Spark or Databricks for distributed data
processing.
owledge of agent-based systems, LLM fine-tuning, or retrieval-augmented
generation (RAG).
rong communication skills and ability to articulate technical solutions clearly.
vanced degree in Computer Science, Data Engineering, AI/ML, or a related field is
a plus.
 Why Arctic Wolf?
At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on
diversity of thought, background, and culture. This is reflected in our multiple awards,
including Top Workplace USA ), Best Places to Work – USA ),
Great Place to Work – Canada ), Great Place to Work – UK (2024), and
Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping
the future of security operations is matched by our dedication to customer satisfaction, with
over 7,000 customers worldwide and more than 2,000 channel partners globally. As we
continue to expand globally and enhance our technology, Arctic Wolf remains the most
trusted name in the industry.Our Values 
Arctic Wolf recognizes that success comes from delighting our customers, so we work
together to ensure that happens every day. We believe in diversity and inclusion, and truly
value the unique qualities and unique perspectives all employees bring to the organization.
And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking
to end cyber risk— we get to work in an industry that is fundamental to the greater good. We
celebrate unique perspectives by creating a platform for all voices to be heard through our
Pack Unity program. We encourage all employees to join or create a new alliance. See more
about our Pack Unity here. We also believe and practice corporate responsibility, and have
recently joined the Pledge 1% Movement, ensuring that we continue to give back to our
community. We know that through our mission to End Cyber Risk we will continue to
engage and give back to our communities. 
All wolves receive compelling compensation and benefits packages, including: 
· Equity for all employees
· Flexible annual leave, paid holidays and volunteer days
· Training and career development programs
· Comprehensive private benefits plan including medical insurance for you and your
family, life insurance (3x compensation), and personal accident insurance.
· Fertility support and paid parental leave

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment
without regard to race, colour, religion, sex, orientation, national origin, age, disability,
genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is
committed to fostering a welcoming, accessible, respectful, and inclusive environment
ensuring equal access and participation for people with disabilities. As such, we strive to
make our entire employee experience as accessible as possible and
provide accommodations as required for candidates and employees with disabilities and/or
other specific needs where possible. Please let us know if you require any accommodations
by emailing <