Company: NeuraMach AI Studio Pvt. Ltd.

Location: Pune — In office

Reports To: Chief Technology Officer

Experience: Typically 7+ years; exceptional zero-to-one builders will also be considered

Compensation: Meaningful ESOP-led founding package; no fixed salary during the current stage The Product Is Live.

Now We

Build for Scale.

At NeuraMach AI, we are building AI-native products and solutions designed to transform how people learn, prepare and work.

Our first major platform, ScoreVedaa, is now live in beta—bringing together personalised strategy, intelligent learning, adaptive practice, exam simulation and performance intelligence.

The product foundation, content ecosystem, AI capabilities and initial cloud infrastructure are already in place. We are now focused on:

Strengthening production reliability

Improving engineering quality and release discipline

Simplifying and scaling the architecture

Building reusable AI and platform capabilities

Expanding into the next wave of competitive-exam markets

Creating a high-accountability engineering organisation

This is a founding role because the engineering execution function, ownership model and future technical team are still being built.

We need a senior engineering leader who can work directly with our CTO and make the technology deliver—on the ground, every day.

Your Mandate

As our Founding Engineering Lead, you will translate technology direction into strong implementation, predictable delivery and reliable production systems.

You will

Review critical architecture and code

Guide implementation decisions

Resolve production and delivery risks

Coordinate engineers and technical contributors

Establish engineering and release standards

Improve accountability across the team

Convert technical plans into working products

This is a hands-on role for someone who wants to build, guide and deliver.

Your First Six MonthsEstablish the Technical Reality

Review the architecture, codebase, infrastructure, AI workflows, data systems, security controls, technical debt and team ownership.

Turn the findings into a prioritised execution roadmap.

The goal is not to rewrite everything. It is to identify what must be fixed, what should be simplified and what is strong enough to scale.

Stabilise Critical Workflows

Take engineering ownership across high-impact systems such as:

Authentication and account access

Question delivery and content services

Exam creation and simulation

Answer submission and session handling

Performance analytics

AI responses and retrieval

Payments and subscriptions

Administrative systems

Logging, monitoring and incident response

Ensure that critical user and commercial journeys are reliable, observable and clearly owned.

Build Engineering Discipline

Establish practical standards for

Code and architecture reviews

Automated testing

CI/CD and release management

Technical documentation

Security reviews

Performance monitoring

Incident ownership

Technical-debt tracking

Speed matters, but production quality cannot depend on individual heroics.

Strengthen the AI Platform

Work with the CTO and AI contributors to improve:

Multi-model LLM orchestration

Agent routing and workflows

RAG, hybrid search and reranking

Context management

Prompt and configuration versioning

AI evaluation and benchmarking

Safety, fallback and recovery controls

Latency and model-cost optimisation





AI telemetry and observability The central challenge is to turn learner activity, assessment performance, content and behavioural signals into reliable AI-driven guidance, tutoring and recommendations at scale.

Lead Engineering Execution

Initially, you will lead a lean mix of internal and external contributors across product engineering and AI.

You will clarify ownership, coordinate releases, review critical implementations, mentor engineers, improve accountability and identify hiring gaps.

You are not expected to be the deepest specialist in every technical area. We are looking for strong engineering judgement, technical breadth and the ability to build teams with the right specialist depth.

What You Will Own In close partnership with the CTO, you will own day-to-day engineering execution across:

Delivery and architecture implementation

Code and release quality

Production readiness and reliability

Engineering standards

Incident follow-through

Technical documentation

Team execution and accountability

Vendor and contractor coordination

Technical hiring and evaluation

You will own implementation and operational decisions while partnering with the CTO on company-wide architecture, security and long-term technology strategy.

You will have the authority to challenge decisions that introduce avoidable risk, delay, cost or complexity.

Technology FoundationCurrent Core Stack

React and TypeScript

Node.js

Python and FastAPI

PostgreSQL

Redis

Qdrant

REST and real-time service patterns

AWS Cognito, S3 and SQS

Docker and GitHub Actions

LLM and model-provider integrations

Systems Being Strengthened

Multi-model AI orchestration

RAG and hybrid retrieval

AI evaluation and behavioural telemetry

Automated testing

OpenTelemetry-based observability

Infrastructure and model-cost visibility

Security, access controls and graceful recovery

Technologies such as Elasticsearch, Kafka, ClickHouse, Spark, Kong and Kubernetes/EKS may be introduced or expanded only when real scale and operational requirements justify them.

We need someone who knows when complexity is necessary—and when it should be removed.

What Success Looks Like

Within the first 12 months, success should include:

A clear architecture and service-ownership model A prioritised technical-debt and risk register

Reliable ownership of critical systems A predictable release process

Automated testing for critical workflows

Defined incident-response and recovery standards

AI quality, latency and cost benchmarks

Improved production observability

Stronger security and cost controls

Reusable foundations for future expansion

Reduced dependency on individual engineers A stronger and more accountable engineering team The objective is not simply to ship more features.

It is to build an engineering system that can ship faster without becoming fragile.

You Could Be the Right Person If

You have owned production systems in a zero-to-one or scale-up environment

You have led engineers while remaining technically hands-on

You can review architecture and critical implementations in depth

You understand modern frontend, backend,



data and cloud systems

You have strong experience with Node.js, Python or comparable technologies

You understand LLM applications, RAG, vector databases, AI agents or model orchestration

You can design for reliability, security, maintainability and cost efficiency

You understand CI/CD, observability, cloud infrastructure and incident management

You can simplify over-engineered systems

You make technology decisions based on product and business value

You can coordinate teams, contractors and external partners

You are comfortable operating with ambiguity and limited resources

Experience in EdTech is valuable but not mandatory.

Strong candidates may come from AI, SaaS, consumer technology, assessment platforms, data products or enterprise software.

This opportunity may be especially relevant for former technical founders, senior startup engineers, consulting technology leaders or experienced builders looking for a genuine company-building role.

Why Join NeuraMach Now?

Work on a live product with real engineering challenges

Partner directly with the CTO and founders

Influence how the platform and engineering organisation evolve

Solve practical AI problems involving personalisation, retrieval, orchestration and adaptive learning

Participate in the value you create through a meaningful ESOP package

Compensation: Please Read Before Applying

This is currently an ESOP-led founding leadership role.

There will be no fixed monthly salary during the company’s current stage.

Salary will commence after NeuraMach completes a suitable fundraising round or achieves sustainable profitability and becomes capable of supporting leadership compensation.

Shortlisted candidates will receive transparent visibility into the indicative ESOP structure, vesting, commitment expectations and salary-trigger conditions during the first serious discussion.

Any additional performance-linked grants or incentives, where applicable, will be discussed separately.

Final terms will be documented before joining.

There is no guaranteed timeline for fundraising, profitability or salary commencement.

This opportunity is best suited to someone who can make a serious entrepreneurial commitment and is motivated by ownership, responsibility and long-term value creation.

This Role Is Not for You If

You require an immediate fixed salary

You want to manage an established team rather than build one

You need a large budget before beginning execution

You prefer presentations over customer conversations

You are uncomfortable carrying direct revenue responsibility

You want a predictable corporate role with limited ambiguity How to Apply

Share the following at [email protected]:

Your résumé or LinkedIn profile A product or platform you helped build from zero The most difficult architecture or production problem you solved An AI, SaaS, cloud or data system you took to production An engineering team or delivery process you improved

What you would prioritise during your first 90 days

Why an ESOP-led founding role makes sense for you

Your availability to work on-site from Pune

Generic applications will not tell us enough.

Show us what you have built, how you lead engineering execution and why you should help drive NeuraMach’s next phase of technology.

Build the platform. Lead the execution. Help build the company.

Join NeuraMach AI as our Founding Engineering Lead — AI & Platform.

📌 AI/ML Engineering (ESOP Based) (Pune)
🏢 NeuraMach AI
📍 Pune