Applied AI Systems Builder

Software Prototypes | Automation | Data Tools | Internal Innovation Systems

Location

Delhi-NCR preferred
Office-first during initial evaluation
Trial / contract-to-confirmation / full-time based on performance

About the Organisation

We are a professional services and business operations organisation working on complex, document-heavy, data-heavy, and workflow-heavy problems.

We are building internal technology systems to improve execution, reduce repetitive manual work, structure information, support decision-making, and create practical software utilities for different operational needs.

The work involves a mix of software development, automation, data handling, workflow design, AI-assisted tooling, dashboards, and controlled prototypes.

The work is confidential and organisation-controlled.

Role Summary

We are looking for an Applied AI Systems Builder — a practical developer who can take real-world problems and convert them into working tools.

This is not a narrow single-product role. The selected candidate may work on different internal projects across multiple domains, including automation, data processing, document workflows, search utilities, dashboards, research support tools, AI-assisted workflows, and internal software prototypes.

The candidate must be comfortable with ambiguity, but disciplined in execution.

We do not need someone who only writes code after receiving perfect specifications. We need someone who can understand a problem, ask the right questions, break it into modules, build a small working version, test it, document it, and improve it through feedback.

What You Will Work On

The actual assignments will be shared through written task briefs. Work may include projects in the following categories:

1. Applied AI Utilities

Building controlled tools that use AI for limited, useful tasks such as:

summarisation
classification
data extraction
draft assistance
structured output generation
research support
workflow suggestions
review queues
human-approval-based automation

AI outputs must remain reviewable and controlled. No uncontrolled autonomous execution.

2. Data Processing & Matching Tools

Building utilities for:

Excel/CSV processing
record comparison
data cleaning
duplicate detection
name/address matching
fuzzy matching
data enrichment
confidence scoring
source/evidence logging
structured exports

3. Document & File Processing Systems

Building tools for:

PDF upload
OCR-assisted extraction
file indexing
document classification
document checklist systems
template-based output generation
file-to-database workflows
document search
metadata capture

4. Workflow & Operations Applications

Building internal tools such as:

task trackers
workflow trackers
case/project/matter trackers
follow-up systems
status dashboards
approval workflows
staff allocation tools
reminder systems
reporting panels

5. Web Apps, Dashboards & Admin Panels

Building practical frontend/backend tools such as:

forms
tables
filters
dashboards
charts
reports
role-based access
file uploads
exports
admin panels
local database-backed applications

6. Automation & Integrations

Building controlled integrations and automation such as:

REST API integrations
local backend services
email/document workflows
approved third-party API integrations
scripted automation
local server deployment
internal tool connectors
controlled AI API integrations

What Kind of Person We Need

We are looking for a builder, not just a coder.

The candidate should be able to:

understand a real business problem
convert rough requirements into a technical plan
break work into small deliverables
create MVPs quickly
connect frontend, backend, and database
handle files and data carefully
use AI tools responsibly
estimate effort and cost
write clean enough code for handover
test before calling work complete
explain what they have built

This role is suitable for someone who enjoys building different types of tools and prototypes across domains, instead of working only on one repetitive app.

Required Technical Skills

Practical working knowledge of:

Python
FastAPI / Flask / Django
React / JavaScript / TypeScript
HTML / CSS
SQLite / PostgreSQL
REST APIs
Git or local version control
Excel / CSV handling
PDF / file handling
file upload systems
authentication / login systems
basic dashboards
debugging and testing
local deployment
API integrations

Good to Have

OCR
LLM API integration
Claude / OpenAI / Gemini / Copilot / Cursor or similar AI tools
prompt engineering discipline
data cleaning
fuzzy matching
search workflows
automation scripting
Docker basics
Windows + WSL / Linux
role-based access control
basic cybersecurity awareness
workflow automation

AI Tool Usage Policy

AI tools may be used to improve productivity, but the candidate must remain responsible for the work.

AI tools may be used for:

coding assistance
debugging
UI generation
data parsing logic
test generation
technical explanation
prototype acceleration

However, the candidate must be able to explain:

which AI tool is being used
why it is being used
what files/data are being shared
what output is expected
whether any cost is involved
what the cost cap is
what can be done manually

Strict conditions:

No confidential data in external AI tools without written approval.
No passwords, API keys, secrets, or private files in AI tools.
No open-ended token/API usage.
No paid AI/API/cloud/server use without written approval.
AI-generated code must be reviewed, understood, tested, and handed over.
Prompt/session history may be reviewed for project audit.

Confidentiality & Ownership

The work may involve confidential business processes, internal methods, data structures, operational workflows, and prototypes.

The candidate must agree that:

• All code, scripts, prompts, workflows, automations, database structures, UI designs, documentation, and outputs created during the engagement belong exclusively to the organisation.
• Work must be done only in organisation-approved folders, repositories, systems, or devices.
• No personal GitHub, personal cloud, personal server, or outside storage may be used without written approval.
• No project material may be shared, reused, published, demonstrated, or disclosed externally.
• No subcontracting or third-party sharing is allowed.
• Clean handover is mandatory for every milestone.
• Paid tools, subscriptions, APIs, servers, or hardware cannot be requested without written justification, cost estimate, and approved deliverable.

Working Style Required

We need someone who is:

disciplined
curious
quietly productive
cost-conscious
confidentiality-conscious
technically practical
comfortable with ambiguity
able to work across domains
able to break vague ideas into MVPs
able to communicate clearly
able to accept review and correction
able to work in a structured office environment

The candidate must be comfortable with:

written task briefs
milestone-based delivery
daily progress updates
code handover
setup instructions
cost approval before paid tools
confidentiality/IP terms
office discipline

Initial Evaluation / Trial Assignment

The initial evaluation will involve one controlled assignment using dummy/sample data only.

Possible trial assignments may include one of the following:

Option A: Internal Workflow Tool

Build a local tool with:

add/edit/list records
search/filter
file upload
status tracking
dashboard view
Excel export
local database
setup instructions

Option B: Data Processing Utility

Build a utility with:

Excel/CSV upload
data cleaning
duplicate detection
matching/scoring logic
structured output
downloadable export
setup instructions

Option C: AI-Assisted Prototype

Build a controlled prototype with:

input form
AI-assisted processing using dummy data
human review step
output generation
basic cost/logging note
setup instructions

The purpose of the trial is to evaluate practical ability, not theory.

Evaluation Criteria

The candidate will be assessed on:

working output
problem understanding
technical approach
code quality
ability to explain own work
AI tool discipline
cost discipline
confidentiality awareness
handover quality
documentation
ability to work under structure
office conduct

Candidate Must Not Apply If

You need expensive hardware before proving delivery.
You cannot work with written tasks.
You cannot estimate time or cost.
You require open-ended AI/API spending.
You cannot provide setup/handover instructions.
You want to keep code only in personal systems.
You are uncomfortable with confidentiality/IP assignment.
You cannot work in a structured office environment.
You only want unrestricted experimentation.
You are looking for a co-founder/title-based role at the initial stage.

Application Requirements

Applicants should share:

1. Resume/profile
2. Sample project or GitHub link, if available
3. Technologies used in past projects
4. AI tools used, if any
5. Examples of automation/data/internal tools built
6. Expected compensation
7. Availability
8. Whether office-first work is possible
9. Confirmation of comfort with confidentiality/IP terms
10. Confirmation of comfort with a trial assignment

Short Posting Version

Hiring: Applied AI Systems Builder

We are hiring a practical developer to build internal AI-assisted tools, automation utilities, dashboards, data-processing systems, document/file workflows, integrations, and prototypes across multiple business use cases.

Work may include:
- web apps and dashboards
- data cleaning and matching tools
- Excel/PDF/file handling
- automation scripts
- workflow/task systems
- search/filter utilities
- API integrations
- AI-assisted internal productivity tools
- local database-backed applications
- controlled prototypes

Required:
Python, FastAPI/Flask/Django, React/JavaScript/TypeScript, SQLite/PostgreSQL, REST APIs, Git/local version control, Excel/PDF/file handling, authentication, debugging, testing, documentation.

Good to have:
OCR, LLM/API integration, Claude/OpenAI/Gemini/Copilot/Cursor usage, fuzzy matching, data cleaning, automation scripting, WSL/Linux, Docker basics.

Important:
This is a structured, organisation-controlled development role. Work will be milestone-based. All code, prompts, workflows, scripts, documentation, and outputs belong to the organisation. No personal repo/cloud/server use without approval. No real confidential data in external AI tools. No paid AI/API/cloud usage without written approval and cost cap.

Initial trial assignment required.

Apply with resume, sample work, tech stack, AI-tool experience if any, expected compensation, availability, and confirmation of confidentiality/IP terms.

Premium Candidate Version

Use this if posting in a higher-quality developer group:

Hiring: Applied AI & Automation Developer

We are looking for a practical builder who can create working tools from real-world business problems.

The role involves:
- building internal software tools
- creating automation utilities
- working with data, files, dashboards, APIs, and AI-assisted workflows
- converting rough requirements into MVPs
- using AI tools responsibly to speed up development
- delivering clean, testable, documented systems

We prefer someone who can work across domains rather than only one fixed type of app.

Required stack:
Python, web backend, frontend, databases, APIs, file/data handling, version control.

Important:
This is a confidential, organisation-controlled role. Work will be milestone-based. All code, prompts, workflows, and outputs belong to the organisation. No open-ended AI/API/cloud spending. No confidential data in external AI tools. Trial assignment required.

Apply with resume, sample work, tech stack, availability, and expected compensation.

Stronger Interview Filter

Use this question before explaining anything sensitive:

We may give you different internal problems from different domains. Can you convert a rough requirement into a small MVP, define input-process-output, estimate time/cost, and build under our ownership and confidentiality rules?

Good answer:

Yes. I would first define the user, input, output, data source, workflow, MVP scope, risks, and delivery milestones.

Bad answer:

First buy better hardware / AI credits / server. Then we will explore.

Best title options

Use one of these:

Applied AI Systems Builder
Applied AI & Automation Developer
Internal Innovation Systems Developer
AI-Assisted Product Developer
Automation & Data Systems Developer

Pay: ₹15,000.00 - ₹35,000.00 per month

Application Question(s):

• Have you ever integrated an LLM API (OpenAI, Claude, Gemini, etc.) into a working tool?
• Are you comfortable with all code, scripts, prompts, and outputs being owned exclusively by the organisation?
• Are you reside in Delhi?

Work Location: In person