Engineering environment
Version control, code review, automated testing, CI/CD and documentation are standard. You will work on systems meant to run in production, not throwaway demos.
Careers
Careers at AARHIT Systems in AI, research and engineering
AARHIT Systems brings together people who enjoy hard technical problems and care about whether solutions actually help. If you like research, engineering and working closely with the people who use what you build, you may enjoy working with us.
Culture
What working here is like
We value clear thinking over noise. Work starts with understanding the problem, questions are welcome at every level and decisions are made on evidence. People are trusted with responsibility, and they are expected to communicate openly about progress, risks and mistakes.
Because our work combines research, engineering and hybrid intelligence, teams are cross-functional. A single engagement may involve a researcher, a data engineer, an application developer and a delivery lead working together with client experts.
Research mindset
Hypotheses, baselines and honest evaluation are part of daily work. Negative results are discussed openly because they save time and money.
Real problems
Engagements span industries and technologies, from language models and agents to computer vision, IoT and data platforms.
Human-centred design
You will spend time understanding how people actually work, because that decides whether systems are adopted.
Learning opportunities
Grow across disciplines
Technology in our field changes constantly. Learning is part of the job, not an extra.
- Exposure to research, engineering and delivery across the AI lifecycle
- Internal knowledge sharing sessions and technical reviews
- Mentoring from experienced engineers and researchers
- Time to explore new models, tools and methods relevant to client work
- Opportunities to contribute to research notes and insights
- Experience working directly with clients and domain experts
Technology areas
What you could work on
- Artificial IntelligenceMethods that let software perceive, reason, predict, generate and act on information.
- Generative AIModels that produce text, images, code and other content from patterns learned in data.
- Agentic AIAI systems that plan multi-step work and use tools to complete it within set boundaries.
- Machine LearningAlgorithms that learn patterns from data to classify, predict, rank or detect anomalies.
- Large Language ModelsNeural networks trained on large text corpora that understand and generate language.
- Computer VisionTechniques that interpret images and video for detection, inspection, measurement and search.
- Natural Language ProcessingMethods for understanding, extracting from and producing human language.
- Multimodal AIModels that work across several data types such as text, images, audio and sensor streams.
- Data EngineeringThe pipelines, storage and quality controls that make data usable for analytics and AI.
- MLOpsPractices and tooling for deploying, monitoring and maintaining machine learning in production.
- Intelligent AutomationAutomation that combines workflows, bots and AI to handle judgement-heavy processes.
- Cloud AIManaged cloud services and infrastructure for building, training and serving AI.
- Internet of ThingsConnected devices and sensors that capture physical-world data and act on it.
- Edge AIRunning AI models on or near devices for low latency, privacy or limited connectivity.
- Digital TwinsVirtual representations of physical assets or processes kept in sync with real data.
Potential roles
Role families at AARHIT Systems
These describe the kinds of roles our work involves. They are not current vacancies; open positions are listed below when available.
AI and machine learning engineering
Model development, LLM applications, evaluation and MLOps.
Applied research
Experiment design, data assessment and research prototyping.
Software engineering
Backend, frontend, mobile and integration engineering.
Data engineering
Pipelines, platforms, data quality and analytics.
Automation engineering
Workflow, RPA, document AI and agentic automation.
Cloud and DevOps
Infrastructure as code, CI/CD, GPU platforms and reliability.
IoT and edge systems
Device software, edge AI and industrial integration.
Quality and security
Test automation, AI evaluation, security testing and governance.
Consulting and delivery
Business analysis, solution design, project and service management.
Current openings
Open positions
No positions are open right now
We are always glad to hear from people whose skills match our work. Send your CV to career@aarhit.com and we will keep it on file for future openings.
Application process
How to apply
Send applications to career@aarhit.com.
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Send your application
Email your CV with the role or area in the subject line, a short note on what interests you and links to relevant work.
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Application review
We review applications against current or anticipated needs.
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Introductory conversation
A conversation to understand your experience and interests, and to answer your questions.
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Technical or role discussion
A practical discussion or exercise related to the kind of work the role involves.
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Final conversation
A conversation with leadership, followed by a decision.
FAQ
Careers FAQs
Is AARHIT Systems hiring?
Current openings, when available, are listed on this page. You are also welcome to send a speculative application to career@aarhit.com.
How do I apply to AARHIT Systems?
Email your CV to career@aarhit.com with the role or area you are interested in in the subject line, and include links to relevant work such as repositories, publications or examples of your own projects.
Does AARHIT Systems offer internships?
Internship opportunities, when available, will be listed here. Students interested in future openings may write to career@aarhit.com.
Where would I work?
Roles may be based at our Bengaluru operational office, our Roorkee registered office or work remotely, depending on the position. Each listing states its location.
What does the hiring process involve?
Typically an application review, an introductory conversation, a technical or role-specific discussion or exercise, and a final conversation with leadership.
Join us
Interested in working with AARHIT Systems?
Tell us about yourself and the kind of work you want to do.