Software Engineer - AI & Product Engineering

Datastraw Technologies; Mumbai; Hybrid; INR 800,000 - 1,400,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Datastraw Technologies is seeking a Software Engineer with 1-3 years of experience to join our early-stage AI Ops product team in Mumbai. You will own features end-to-end and partner with founders and CX teams to convert business problems into reliable software.

You will grow toward a Tech Lead while staying close to product challenges, working across CRM, CX platform, integrations and automation. Hybrid work model applies, with Monday–Saturday schedule.

Qualifications

• 1-3 years of professional software engineering experience.
• Experience taking ownership of features from development to deployment.
• Comfortable in an early-stage or fast-changing environment.
• Strong backend and API fundamentals.
• Experience with React and modern web application development.
• Familiarity with databases, authentication, APIs, webhooks and integrations.

Responsibilities

• Build and improve the internal CRM and CX platform.
• Develop features across conversations, agent workflows, automation and reporting.
• Work on multi-brand, multi-team systems and workflows.
• Identify technical debt and improve code quality, reliability and maintainability.
• Apply AI to real CX problems, including retrieval, analysis, routing and AI responses.
• Integrations with WhatsApp, Shopify, emails and other CX tools.

Skills

Problem solving

Ownership

Communication

Team collaboration

Adaptability

Tools

React

PostgreSQL

Supabase

AWS

GCP

Azure

APIs

Webhooks

Job description

Full-Time

Work Model: Hybrid (4 Days Work From Office + 2 Days Work From Home)

Work Schedule: Monday to Saturday

Shift Timings: 10:00 AM - 7:00 PM IST

Experience: 1-3 years

About Datastraw

Datastraw Technologies is an AI Ops company helping businesses transform their operations into AI-first operations. We build the systems, infrastructure and intelligence that enable businesses to automate, optimise and scale how work gets done.

We’re building the technology behind customer experience for modern consumer brands - bringing together customer conversations, workflows, knowledge, automation and AI to make CX operations more intelligent, efficient and scalable.

Our internal platform brings together customer conversations, brand knowledge, workflows, AI-assisted responses, operational data and third-party systems in one place. The goal is to make CX teams more efficient while giving brands better visibility and control over their customer experience.

We’re still early in this journey, which means there is a lot to build.

The Role

We’re looking for a Software Engineer with 1-3 years of experience who enjoys building products, solving practical engineering problems and wants to grow into a Tech Lead over time.

You’ll work closely with the founders, operations team and CX teams to understand real business problems and turn them into technology solutions.

This is a hands-on role where you’ll contribute to our internal CRM, CX platform, integrations and automation. As you grow and take on more ownership, you’ll have the opportunity to contribute to architecture, technical decisions, engineering processes and eventually team development.

What You’ll Work On

1. Build & Improve the CX Platform

• Contribute to the development and improvement of our internal CRM and CX platform.
• Build features across customer conversations, agent workflows, automation and reporting.
• Work on systems that support multiple brands, teams and workflows.
• Improve the existing platform rather than constantly rebuilding from scratch.
• Identify technical debt and help improve code quality, reliability and maintainability.

2. AI & Customer Experience

AI is an important part of where we’re taking Datastraw. You’ll work on applying it to real customer experience problems.

This could include:

• Brand, SOP and knowledge-base retrieval
• Conversation analysis
• Automated escalation and routing
• AI voice and chat experiences
• Customer intent and sentiment understanding
• Workflow automation
• Evaluation and monitoring of AI responses
• Systems that combine human agents with AI

You don’t need to be an AI specialist. What matters is that you’re curious about new technology and interested in building useful solutions.

3. Integrations & Infrastructure

Our platform connects with multiple systems across the CX ecosystem.

You’ll work with integrations such as:

• WhatsApp and messaging platforms
• Email and ticketing systems
• Shopify Admin API
• Meta WhatsApp API
• Instagram Graph API

You’ll also work across:

• React
• Supabase
• Supabase Auth
• Edge Functions / RPCs
• Webhooks
• Qdrant
• OpenRouter
• DeepInfra
• LLM and AI APIs

You don’t need experience with every technology listed above. Strong engineering fundamentals and the ability to learn and work across a modern product stack matter more.

You’ll contribute to improving how we build and maintain software, including:

• Git and branching practices
• Code reviews
• Documentation
• Testing
• Monitoring and logging
• Security and access controls
• Technical planning and estimation

The goal is to build simple, practical processes that help a small team move quickly without things breaking.

5. Grow Towards Tech Lead

As you become more experienced and take on greater ownership, you’ll have the opportunity to contribute to:

• Architecture and technical decisions
• Technical planning
• Mentoring junior engineers and interns
• Technical hiring and candidate evaluation
• Delegating technical work
• Building and growing the technology team

The goal is to give you the opportunity to grow from a hands-on Software Engineer into a Tech Lead while staying close to the technology and product.

As you grow into the role and take on more responsibility, you’ll have the opportunity to contribute to:

• Shaping Datastraw’s technology roadmap and connecting technical priorities with business needs.
• Managing and optimising technology costs across infrastructure, APIs, AI/LLM usage and third-party tools.
• Evaluating technologies and vendors to make practical decisions around performance, scalability and cost.
• Contributing to build-vs-buy decisions and helping keep technology and AI spending efficient.
• Tracking technology costs as the platform grows and identifying opportunities to optimise them.

What We’re Looking For

You could be a strong fit if you:

• Have 1-3 years of professional software engineering experience.
• Have worked as part of a product or engineering team.
• Have experience taking ownership of features from development to deployment.
• Are comfortable working in an early-stage or fast-changing environment.
• Have strong backend and API fundamentals.
• Understand databases, authentication, APIs, webhooks and integrations.
• Have experience with React and modern web application development.
• Have worked with PostgreSQL or a similar relational database.
• Have experience with cloud-based platforms such as Supabase, AWS, GCP, Azure or similar.
• Are comfortable reading existing code and improving it.
• Can communicate technical concepts clearly.
• Can make sensible technical trade-offs rather than over-engineering everything.
• Are organised and enjoy solving practical problems.
• Have an interest in AI/LLMs and are willing to learn and experiment with them.

You’ll Be a Particularly Strong Fit If You Have

• Experience building internal tools, SaaS products or B2B platforms.
• Experience with AI/LLM applications.
• Experience with RAG, vector databases or knowledge retrieval systems.
• Experience building AI agents or agent-assist systems.
• Experience integrating WhatsApp, Shopify or other commerce/CX platforms.
• Experience working with Supabase, PostgreSQL and serverless/edge functions.
• Experience mentoring or collaborating closely with other developers.
• Experience working in a start-up or an environment where you had significant ownership.

What We Don’t Need

We are not looking for someone who:

• Has only worked on very narrowly defined tickets.
• Needs a fully established engineering organisation around them.
• Wants every technical decision to already be made for them.
• Equates good engineering with building complex systems.
• Is interested in technology only for the sake of using the latest tools.

We’re looking for someone who can look at an existing system, understand how it works and think:

“I can make this better.”

Your First 6 Months

First 30 Days

• Understand the existing CRM, architecture, codebase and integrations.
• Understand how Datastraw’s CX operations work.
• Identify major technical risks and bottlenecks.
• Start contributing directly to the product.

30-90 Days

• Take ownership of features and improvements.
• Improve reliability, documentation and development workflows.
• Ship meaningful improvements to the CRM and platform.
• Start contributing to technical planning and engineering processes.

3-6 Months

• Take ownership of larger technical areas.
• Contribute to architecture and technical decisions.
• Help improve scalability, observability and security.
• Start taking on responsibilities that prepare you for future Tech Lead ownership.

Why Join Datastraw?

This is an opportunity to join Datastraw’s technology team at an early stage and have a direct impact on a real product.

You’ll have the opportunity to:

• Work on a real product used by CX teams and customers.
• Shape and improve the architecture of an early-stage platform.
• Work directly with founders and CX operators.
• Work across product development, integrations, automation and modern technologies.
• Take ownership of meaningful technical problems.
• Learn and grow alongside the technology function.
• Gradually take on leadership responsibilities.
• Grow into a Tech Lead role as you develop your technical and leadership skills.

If you’re a software engineer who wants more ownership, wants to work close to the product, and wants a clear path toward becoming a Tech Lead, this is an opportunity to grow with us.

Required Skills

Problem Solving Software Development Automations Full stack API AI Integration AI tools