Tower Research Capital Internship 2027 | AI/ML Intern | Gurgaon — Apply Now: Tower Research Capital Internship 2027 is open for an AI/ML Intern in Gurgaon, offering a six-month, in-office internship starting in January 2027. What makes this opportunity stand out is its focus on agentic AI alongside traditional machine learning. Tower Research Capital specifically looks for candidates familiar with agentic coding assistants, multi-agent systems and Model Context Protocol (MCP), along with Python, ML frameworks and MLOps.
The role is suitable for students or graduates with a bachelor’s, master’s or PhD degree, provided they can commit to the six-month in-office internship.
Tower Research Capital Internship 2027 is a strong opportunity for students and recent graduates interested in AI/ML and Agentic AI. The six-month, in-office internship in Gurgaon starts in January 2027 and focuses on multi-agent systems, MCP, agentic coding assistants, machine learning and MLOps. If you have hands-on AI projects and strong Python skills, this is a role worth applying for.
| Job Details | Information |
|---|---|
| Company | Tower Research Capital |
| Role | Intern – AI/ML |
| Location | Gurgaon, Haryana |
| Internship Duration | 6 months |
| Start Date | January 2027 |
| Work Mode | In-office |
| Experience | Internship / project experience relevant to AI/ML |
| Education | Bachelor’s, Master’s or PhD – ongoing or completed |
| Key Skills | Python, Machine Learning, Agentic AI, Multi-Agent Systems, MCP, MLOps, Linux, SQL, Git, Bash |
| Application Mode | Online |
| Stipend | Not disclosed |
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Tower Research Capital is a global systematic trading firm focused on technology-driven trading and financial markets. Its engineering organisation works on areas including electronic trading infrastructure, low-latency systems, machine learning, FPGA technology and hardware acceleration.
The company operates globally, including an engineering presence in Gurgaon, where this AI/ML internship is based.
For an AI/ML student, the combination of machine learning, automation and agentic AI makes this role particularly relevant if you’re interested in building production-oriented AI systems rather than focusing only on academic projects.
The Tower Research Capital Internship 2027 goes a step further by explicitly asking for experience with modern agentic AI technologies.
The requirements mention agentic coding assistants, multi-agent systems and Model Context Protocol, making this particularly interesting for candidates who have been experimenting with AI agents and tool-calling workflows.
The role is part of Tower’s technology organisation, where engineers work across machine learning, electronic trading infrastructure, low-latency systems and other advanced technologies.
The Tower Research Capital Internship 2027 involves a combination of agentic AI development, machine learning and MLOps.
As an intern, you may work on:
- Building and evaluating multi-agent systems.
- Developing agent orchestration and tool-calling workflows.
- Working with frameworks and protocols such as Model Context Protocol (MCP) and agent skills.
- Developing agentic coding tools that can automate development and internal workflows.
- Training, evaluating and deploying statistical and machine learning models.
- Supporting MLOps processes for model deployment and productionisation.
- Monitoring model performance and experimenting with improvements.
- Testing and optimising existing machine learning models.
- Working with engineers and researchers to solve technical and business problems.
This means the role isn’t limited to training models in notebooks. You could be working across the full AI lifecycle, from experimentation to deployment and automation.
Technologies Used at Tower Research Capital
If you haven’t worked with agentic AI yet, you can still build relevant experience relatively quickly.
Focus on these areas:
- Multi-Agent Systems
- Model Context Protocol
- Agentic Coding Assistants
- Machine Learning
- MLOps
Tower Research Capital expects candidates to have a strong technical foundation along with practical AI/ML experience.
The key requirements include:
- Bachelor’s, master’s or PhD degree, either ongoing or completed.
- Ability to commit to a six-month in-office internship beginning January 2027.
- Practical knowledge of modern agentic AI tooling.
- Familiarity with agentic coding assistants.
- Understanding of multi-agent systems.
- Experience with MCP or agent skills.
- Experience building, training or deploying machine learning models.
- Knowledge of TensorFlow, PyTorch or similar ML frameworks.
- Familiarity with MLOps and model productionisation.
- Strong Python programming skills.
- Hands-on experience with Linux.
- Knowledge of SQL, Git and Bash scripting.
- Finance or trading-domain knowledge is an advantage but is not mandatory.
The exact interview process can vary, but candidates should be prepared for a technically demanding selection process.
A likely process includes:
- Resume screening
- Technical assessment or screening
- Python and ML technical rounds
- AI/agentic systems discussion
- Problem-solving and quantitative questions
- Final discussion with the team or hiring manager
Trading firms can be particularly rigorous about logical reasoning, probability, statistics and structured problem-solving.
Documents Required for the Tower Research Capital
- Updated one-page resume.
- GitHub profile.
- Links to your strongest AI/ML or agentic AI projects.
- Current semester marksheets, if you are still studying.
- Degree or provisional certificate, if already graduated.
- Relevant internship certificates, if available.
- Government photo ID for later stages of recruitment.
Your GitHub projects can be particularly important for this role. If you have built an AI agent, ML pipeline or automation tool, make sure the repository is organised and includes a clear README.
Tower Research Capital has not disclosed the stipend for this internship in the listing.
The available details indicate:
- Six-month internship.
- Start date: January 2027.
- Location: Gurgaon.
- Work arrangement: In-office.
- No remote option is stated.
- The internship is designed around practical AI/ML work rather than a training-only programme.
- Compensation details should be confirmed during the recruitment process.
Since the internship begins in January 2027, students should also check whether the six-month commitment fits their academic schedule.
Applications are submitted online:
- Click Apply link below and visit the official Tower Research Capital AI/ML Intern listing.
- Submit your application through Greenhouse.
- Upload a tailored resume.
- Include your GitHub or portfolio.
- Highlight any multi-agent, MCP, ML or MLOps projects.
- Clearly mention relevant Python, Linux, SQL, Git and Bash experience.
- Apply early because internship hiring can involve rolling shortlists.
- Also check other AI/ML internships and fresher opportunities while waiting for the recruitment process.
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Here are the areas I would prioritise before applying:
- Revise Python thoroughly, including data structures, functions, OOP and debugging.
- Strengthen your understanding of ML fundamentals.
- Practise probability and statistics.
- Build one complete multi-agent AI project.
- Experiment with MCP and tool-calling.
- Be prepared to explain an ML model you have trained from beginning to end.
- Know the dataset, features, evaluation metric and optimisation decisions behind your project.
- Understand MLOps concepts such as deployment, monitoring, versioning and rollback.
- Revise Linux commands, SQL, Git and Bash.
- Practise quantitative and logical reasoning under time limits.
- Prepare a concise 90-second introduction focused on your strongest AI/ML project.
Who can apply for the Tower Research Capital Internship 2027?
Candidates pursuing or having completed a bachelor’s, master’s or PhD degree can apply, provided they can commit to the six-month in-office internship beginning January 2027.
Do I need previous internship experience?
The listing focuses more heavily on practical technical skills and project experience than on a specific number of previous internships. Strong AI/ML, agentic AI or software projects can strengthen your profile.
Do I need agentic AI experience?
Yes, this is an important part of the listed requirements. Tower specifically mentions agentic coding assistants, multi-agent systems and MCP or agent skills.
What programming language should I know?
Python is a key requirement. You should also be comfortable with Linux, SQL, Git and Bash scripting.
Do I need to know TensorFlow or PyTorch?
Experience building, training and deploying ML models using TensorFlow, PyTorch or similar frameworks is listed.
Is the Tower Research Capital Internship 2027 remote?
No. The internship is specified as in-office in Gurgaon.
When does the internship start?
The internship is scheduled to begin in January 2027 and runs for six months.
Is finance knowledge mandatory?
No. A finance background or experience in the finance domain is listed as a plus, not a mandatory requirement.
What is the stipend?
Tower Research Capital has not disclosed the stipend in the listing. Candidates should confirm compensation during the recruitment process.
What project should I build before applying?
A strong choice would be a multi-agent AI application with tool calling and MCP integration. Make sure you can explain its architecture, agent coordination, failure handling and the reason behind your design choices.
Is this a good opportunity for AI/ML freshers?
Yes, particularly for candidates who already have practical AI/ML skills and want exposure to agentic AI, MLOps and production-oriented machine learning. However, the technical requirements are stronger than those of a typical fresher AI internship, so candidates should prepare accordingly.