Founded in 2010, Innefu is an AI-driven company providing cutting edge Data Analytics and Information Security solutions to National Security agencies. The company was started with a clear focus to carry out Deep Tech innovation and develop products which can capture the global market and be the cornerstone of the economy of the country. With more than 100+ installations across Indian Subcontinent, Middle East and South East Asia, the company is today a de-facto leader in developing and deploying AI for National and cyber Security. The company with its own range of products serves a diverse client base including Defense and Intelligence organizations, Law Enforcement Agencies, Financial Intelligence Units, BFSI as well as top Fortune 500 companies. Having worked with some of the most sensitive organizations the company has a deep understanding of handling sensitive and critical installations. The company has a clear focus on developing state of the art products oriented towards solving real world problems of our clients with exemplary support to ensure 100% customer satisfaction.
Office locations
1
Open roles tracked
1
Posted last 7 days
1
Posted last 30 days
Open roles at this company sorted by AI match score — skills, experience, and company fit when you are signed in. Guests browse the same roles on the public job board.
Want match scores and deeper insight? Create a free candidate profile
What employees say
+ Good work culture, supportive team, learning opportunities, good exposure.
− No significant drawbacks to mention.
Recent Glassdoor reviews · 169 total
Pros: Good work culture, supportive team, learning opportunities, good exposure.
Cons: No significant drawbacks to mention.
View on GlassdoorPros: Flexible timing and good work environment
Cons: Compensation not at par with market standards
View on GlassdoorPros: Good for freshers to learn from basic
Cons: Lala Company. Employee dont have right say anything
View on GlassdoorPros: Good learning opportunities and exposure to real-time IT infrastructure. The team and seniors are supportive, and as a fresher, I have received good guidance to improve my Linux and system administration skills. The work environment is good and provides opportunities to learn new technologies.
Cons: The initial learning phase can be challenging. Better task communication, structured training, and regular feedback would make the experience better.
View on GlassdoorPros: Challenging Technical Domain: Opportunity to work on interesting real-world problems involving national security, predictive intelligence, and computer vision / AI systems. Ownership & Learning: Developers get direct ownership of modules early on, which accelerates technical problem-solving and architectural exposure. Supportive Peers: The core engineering team is helpful, collaborative, and approachable for troubleshooting.
Cons: Work-Life Balance: Release cycles and client deployments can lead to long working hours and occasional weekend commitments. Process Maturity: Sprint planning and documentation workflows can sometimes feel ad-hoc, requiring developers to adapt quickly to shifting client priorities.
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 114 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering Manager | India | 54.8 LPA | 50.7 LPA – 59.9 LPA | 1 |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 16 total · avg difficulty 2.6/5 · 14 questions indexed
Interview take 2 technical round both are coding round. First round some python questions and after that jump on coding. Same as 2nd round string , decorators and oops concepts
Nice and smooth and interview was interactive interviewer was well behaved and decent and patience , overall good experience must recommend to other candidates as well and try for it
Sample questions
I have cleared the 1st round of interview for python django developer, in 2nd round interviewer asked 90% questions on AI/ML arrange the interview for python django developer. Interviewer is very rude.
Sample questions
Multiple rounds Two telephonic round one with HR and other one with the team leader One assessment ( generally involves aptitude questions which can be easily solved) And final face to face round
Sample questions
first written test more technical questions were there HR round in this HR head takes the interview technical round tech lead takes the interview negotiations other HR people negotiate offer
Sample questions
Top hiring roles: Engineering
Last updated 22 September 2026
Want match scores and deeper company insight? Create a free candidate profile.
Browse all jobs · Companies hiring · Career insights · AI job matching · Naukri vs match scores