Finzo AI Forward Deployed Engineer Intern Recruitment 2026 – Remote, ₹2L–₹2.4L, 6-Month Internship
Finzo AI is hiring a Forward Deployed Engineer Intern for its Applied AI and Deployment team. This is a full-time, six-month internship that can be completed remotely from India.
The role is designed for candidates interested in the intersection of artificial intelligence, machine learning, software engineering, enterprise integrations, and customer deployment. Interns will support AI model evaluation, training, deployment, troubleshooting, and integration with enterprise systems such as SAP, Oracle, and Frappe/ERPNext.
The listing states no prior work experience is required, making this an opportunity for candidates who have developed relevant skills through coursework, projects, or independent learning.
Finzo AI Forward Deployed Engineer Intern – Overview
| Particular | Details |
|---|---|
| Company | Finzo AI |
| Position | Forward Deployed Engineer Intern |
| Team | Applied AI / Deployment |
| Employment Type | Full-time Internship |
| Duration | 6 months |
| Location | Remote – India |
| Company Location | Pune, Maharashtra |
| Salary | ₹2 lakh – ₹2.4 lakh |
| Equity | No equity |
| Experience | No experience required |
| Visa Sponsorship | Not available |
| Relocation | Allowed |
| Preferred Timezone | Maldives Time |
| Collaboration Hours | 9:00 AM – 6:00 PM Maldives Time |
| Reporting To | Engineering Lead |
| Selection Process | Not specified in the provided listing |
| Application Deadline | Not specified |
About Finzo AI
Finzo AI describes itself as an AI execution layer for enterprise finance. Its platform uses autonomous AI agents to automate financial operations while connecting with existing ERP and banking systems.
The company’s platform covers areas including:
- Accounts payable
- Accounts receivable
- GST and TDS compliance
- Bank reconciliation
- Concurrent audit
- Month-end close
According to the supplied job description, Finzo AI’s approach combines AI systems with deterministic code for finance compliance workflows.
Finzo AI Forward Deployed Engineer Intern Role
The Forward Deployed Engineer Intern will work across AI model development, deployment, software engineering, enterprise integration, and customer implementation.
The role involves helping move AI models and workflow agents from prototype stages toward production environments. Interns may work with enterprise platforms including SAP, Oracle, and ERPNext.
Because the position is forward deployed, the role also includes understanding customer-specific workflows, troubleshooting integration issues, and documenting deployment requirements under the guidance of senior team members.
Key Responsibilities
AI Model Development
Interns will assist with the development and evaluation of AI/ML systems used for financial document workflows.
Responsibilities include:
- Supporting evaluation and fine-tuning of AI/ML models
- Working on document extraction and classification
- Supporting AI workflows for finance documents
- Classifying documents and financial information
- Analysing model outputs
- Identifying model errors and failure patterns
Model Evaluation
A significant part of the role involves measuring and improving model performance.
The intern may:
- Build evaluation datasets
- Run model evaluation experiments
- Measure accuracy
- Calculate precision and recall
- Evaluate classification performance
- Measure automation rates
- Track performance across different document types
- Identify recurring failure patterns
AI Model Deployment
The role also provides exposure to deploying AI systems in enterprise environments.
Interns will support:
- AI model deployment
- Production environment configuration
- Deployment troubleshooting
- Enterprise AI deployments involving SAP
- Oracle integrations
- Frappe/ERPNext environments
Data and Training Pipelines
The intern will also contribute to the data and model-training lifecycle by:
- Preparing training data
- Cleaning datasets
- Supporting training runs
- Maintaining evaluation datasets
- Assisting with data pipelines
- Monitoring model performance
Enterprise Integration
Forward deployment requires connecting AI systems with existing enterprise infrastructure.
Responsibilities include:
- Assisting with API integrations
- Data mapping
- Troubleshooting authentication issues
- Debugging environment-specific integration problems
- Connecting AI services with enterprise systems
Customer Deployment
The role includes some customer-facing engineering exposure under senior guidance.
Interns may:
- Support implementation teams during deployments
- Understand customer-specific workflows
- Assist with configuration and integration
- Participate in technical discussions with customers
- Document customer-specific technical requirements
Documentation
Documentation is another important part of the internship. Interns may create and maintain:
- Deployment runbooks
- Integration patterns
- Troubleshooting guides
- Model evaluation procedures
Eligibility and Required Skills
The listing states that no prior professional experience is required. Candidates should instead demonstrate relevant technical knowledge through coursework, projects, or other practical experience.
Required Skills
Candidates should have:
- Strong Python fundamentals
- Coursework or project experience with ML or LLM-based models
- Basic understanding of APIs
- Basic understanding of cloud or container deployment
- Software engineering fundamentals
- Technical troubleshooting ability
- Comfort working with mentors
- Ability to participate in occasional client-facing situations
Good-to-Have Skills
The following are listed as additional advantages:
- LLM fine-tuning
- RAG pipelines
- LangChain
- LangGraph
- Machine learning projects
- NLP
- Document intelligence
- Docker
- Cloud deployment
- ERPNext/Frappe
- SAP
- Oracle
- Interest in fintech or financial compliance
Candidates do not need to have every listed skill because several of these are specifically described as good-to-have rather than required.
Salary and Internship Duration
Finzo AI lists compensation of ₹2 lakh to ₹2.4 lakh with no equity.
The internship duration is six months and the position is full-time.
The listing does not specify whether the ₹2 lakh–₹2.4 lakh compensation figure is a total internship amount or a periodic compensation figure. Candidates should therefore confirm the exact compensation structure during the hiring process.
The company states that there is potential for full-time conversion based on performance, but a full-time offer is not guaranteed.
Work Location and Working Hours
The position is remote and open to candidates in India.
The listing identifies Pune as the company’s location but specifies a remote-only work policy for this role.
The preferred timezone is Maldives Time, with collaboration hours listed as:
9:00 AM to 6:00 PM Maldives Time
Relocation is allowed, while visa sponsorship is not available.
Key Performance Areas
The internship will be evaluated across several practical engineering and AI-related areas, including:
- Quality of model evaluation
- Accuracy of data preparation
- Successful AI model deployment
- Troubleshooting speed
- Integration quality
- Documentation quality
- Ability to handle customer-specific technical requirements
- Improvements in model automation and accuracy
This makes the role broader than a conventional ML internship, with performance measured across both technical AI work and deployment-oriented engineering.
What You Can Gain from the Internship
According to the listing, interns can gain exposure to the complete lifecycle of applied AI systems, including:
- AI model training and evaluation
- AI deployment
- Moving prototypes toward production
- Enterprise software integration
- SAP, Oracle, and ERPNext environments
- Applied AI engineering
- Customer-facing technical implementation
- Troubleshooting production deployment issues
- Documentation and deployment practices
The role can therefore be relevant to candidates considering careers in AI engineering, ML engineering, forward deployment, solutions engineering, enterprise AI, or applied machine learning.
Who Can Apply?
This internship may be relevant to candidates who:
- Have strong Python fundamentals
- Have built ML or LLM projects
- Understand APIs and basic software engineering
- Want hands-on AI deployment experience
- Are interested in enterprise AI
- Want exposure to ERP and financial technology systems
- Are comfortable troubleshooting technical problems
- Can work remotely with teams operating during the stated collaboration hours
The listing does not specify a particular degree, branch, graduation year, CGPA requirement, or percentage cutoff.
Selection Process
The provided job description does not specify the number or format of interview rounds.
It mentions that interns may participate in technical discussions with customers under senior guidance after joining, but this should not be interpreted as a formal recruitment-stage requirement.
Candidates should check the current application process for the latest information.
Important Points
- This is a six-month, full-time internship.
- The position is remote within India.
- No prior professional experience is required.
- Strong Python fundamentals are required.
- ML or LLM project experience is expected.
- AI model evaluation and deployment are central parts of the role.
- SAP, Oracle, and ERPNext exposure is relevant.
- Docker, RAG, LangChain, LangGraph, and cloud deployment are advantageous.
- The listed compensation is ₹2 lakh–₹2.4 lakh, with no equity.
- The exact compensation period is not specified in the supplied listing.
- Full-time conversion may be possible based on performance.
- Visa sponsorship is not available.
- The application deadline is not specified.
Frequently Asked Questions
What is the Finzo AI Forward Deployed Engineer Intern role?
It is a six-month full-time internship focused on AI model evaluation, training, deployment, enterprise integration, troubleshooting, and customer-specific implementation.
Is experience required for this Finzo AI internship?
No. The listing states that no prior experience is required. However, candidates should have project or coursework experience involving ML or LLM-based models.
What programming language is required?
Strong Python fundamentals are listed as a requirement.
Is the internship remote?
Yes. The position is listed as remote-only and is available to candidates in India.
What is the salary for the Finzo AI internship?
The listing shows ₹2 lakh–₹2.4 lakh with no equity. It does not clarify the period covered by this compensation figure, so candidates should confirm the exact structure.
What is the duration of the internship?
The internship lasts six months.
Can the internship lead to a full-time job?
Potential full-time conversion is mentioned and is based on performance. The listing does not guarantee conversion.
Which enterprise platforms will interns work with?
The role specifically mentions SAP, Oracle, and Frappe/ERPNext.
Is the application deadline mentioned?
No application deadline is provided in the supplied job listing.
What degree is required?
The supplied listing does not specify a mandatory degree or educational qualification.