Founding engineer

Meolaa; Bengaluru; On-site; INR 400,000 - 650,000; Full time

Job summary

Meolaa is seeking an experienced software engineer who thrives on building from scratch and shipping AI-native products. You will design and deploy agentic AI systems, architect scalable backends, and work closely with founders to automate complex workflows.

The role favors candidates who have delivered production-grade AI agents and enjoy solving messy problems with elegant engineering in a fast-paced startup environment.

Qualifications

• 6-8 years of software engineering experience, preferably in startups.
• Built and deployed multiple production-grade Agentic AI systems.
• Strong backend engineering fundamentals and clean code basics.

Responsibilities

• Design and build AI-native products from 0-1.
• Build and orchestrate multiple agentic AI systems across the business.
• Create scalable backend systems, APIs, data pipelines, and internal platforms.

Skills

6-8 years software engineering

Agentic AI systems development

Backend engineering fundamentals

Tools

LangGraph

LangChain

Tool Calling

Structured Outputs

Stateful Workflows

OpenAI/Claude/Gemini APIs

End-to-End RAG

Embeddings/Chunking

Hybrid Retrieval

Job description

We don't need another Software Engineer.

We need a builder.

Someone who sees a repetitive task and automates it before anyone asks.

Someone who's already built AI agents, broken them, rebuilt them better, and isn't afraid of shipping on a Friday.

Meolaa is Building the AI-native Procter & Gamble , at Meolaa, we're building an AI-first consumer company where technology isn't a support function it's the operating system. From internal workflows to customer experiences, we're reimagining how consumer brands are built using AI.

If you've been waiting to build something from scratch instead of maintaining legacy systems, this is your sign.

What You'll Build

• Design and build AI-native products from 0-1.
• Build and orchestrate multiple agentic AI systems across the business.
• Create scalable backend systems, APIs, data pipelines, and internal platforms.
• Rapidly prototype, test, and ship products alongside the founders.
• Own engineering architecture, technical standards, and platform scalability.
• Use AI to automate business workflows—not just write code faster.

You're Probably a Great Fit If You...

• Have 6-8 years of software engineering experience, preferably in startups.
• Have built and deployed multiple production-grade Agentic AI systems.
• Have strong backend engineering fundamentals and love writing clean code.
• Think like a product builder, not just an engineer.
• Love solving messy business problems with elegant engineering.
• Are comfortable working in ambiguity and building from first principles.

We’d Love It If You’ve Worked With...

Agentic AI

• LangGraph
• LangChain
• Tool Calling
• Structured Outputs
• Stateful Long-Running Workflows
• Checkpointing & Workflow Orchestration
• OpenAI, Claude & Gemini APIs in production
• End-to-End RAG Systems
• Embeddings & Chunking
• Hybrid Retrieval
• Re-ranking
• Knowledge Graphs

Evaluation & Observability

• LangSmith
• Langfuse
• Braintrust
• RAGAS
• DeepEval
• Offline Evaluation Suites
• Online Guardrails
• Confidence Scoring
• Human Review Workflows

Bonus Points

• You've built products from 0-1 in a startup.
• You've built internal AI copilots or workflow automation platforms.
• You've shipped features using Cursor, Claude Code, Windsurf, GitHub Copilot, or similar AI-native development tools.
• You ask "Can AI do this?" before asking "Who will build this?"

Why Meolaa?

• Be one of the earliest engineering hires and shape our technology DNA.
• Work directly with the founders on business-critical problems.
• Build products that impact every part of the company from Day 1.
• Experiment with the latest AI technologies without layers of bureaucracy.
• Own outcomes, move fast, and build the future of consumer brands.

If your GitHub is more interesting than your résumé, your side projects keep you awake at night, and you've already built things people said were impossible, we'd love to talk.