Senior Backend Engineer | Founding Team

Title : Senior Backend Engineer | Founding Team

Location: Bengaluru / Hybrid

Experience: 3-6 years

Type: Full-time | Founding Team |

About DecisionX

DecisionX is building a self-learning, context-aware Decision Intelligence platform -designed to fundamentally change how humans and organisations make complex decisions.

Our platform continuously learns, understands intent, and reasons across data using protocols, rich context, and AI agents . It is built to empower the people closest to the data to make better, faster, and more confident decisions.

Headquartered in Bangalore and San Francisco , DecisionX is led by a small team of serial founders, engineers, physicists, and product builders who believe the future belongs not to those who merely have data-but to those who can decide well .

Our mission is simple and ambitious: build the missing layer of Decision Intelligence the world needs.

The Role

Were looking for a Senior Engineer to help build DecisionXs data backbone and AI-powered decision engine from the ground up .

This is a high-ownership role. Youll design and build systems that ingest and reason over massive datasets, orchestrate multi-agent workflows, and deliver sub-second insights to real enterprise users.

You wont just implement features-youll shape architecture, make core technical decisions, and own outcomes end-to-end.

What Youll Build

Data Infrastructure

• High-throughput ETL/ELT pipelines ingesting millions of records daily from ERPs, APIs, warehouses, and files
• Data models for time-series, hierarchical dimensions, and large-scale aggregations
• OLAP query layers delivering sub-second performance on complex analytics
• Real-time streaming systems with exactly-once semantics
• Thoughtful tradeoffs: when to denormalize, pre-aggregate, cache, or compute on demand

Tech: ClickHouse, Druid, Snowflake, BigQuery, Kafka, Airflow

AI Agent Systems

• Multi-step agentic workflows: goal decomposition, task coordination, learning loops
• Stateful execution engines that maintain decision context across sessions
• Reasoning systems where agents autonomously query data, simulate outcomes, and update plans
• Production-grade prompt engineering, context management, and streaming responses
• Robust failure handling: retries, fallbacks, and human-in-the-loop workflows

Tech: Python / Go, OpenAI & Anthropic APIs, vector databases, graph databases, LangChain

Backend & APIs

• Microservices with clean boundaries, fault isolation, and graceful degradation
• Scalable REST / GraphQL APIs built for enterprise workloads
• Async processing and distributed job orchestration
• Systems designed to fail safely-and recover automatically

Tech: Python / Java / Go, Kubernetes, RabbitMQ

Numerical Analytics at Scale

• Processing large datasets: sales, financials, and operational KPIs
• Aggregation engines for dashboards, anomaly detection, and root-cause analysis
• Query optimization: indexing strategies, materialized views, pre-aggregation, caching
• Numerical correctness and consistency in distributed systems

Infrastructure

• Production deployments on AWS, GCP, or Azure
• Dockerized services, CI/CD pipelines, infrastructure-as-code

Frontend (Nice to Have)

• Real-time React dashboards that stay fast at scale
• Data visualizations that drive decisions-not just look good
• Intuitive query interfaces for non-technical users

What Were Looking For

Core Experience

• Built and operated production data systems processing millions of records
• Shipped backend systems or platforms used by real customers
• Hands-on experience with distributed systems in production
• Comfort debugging failures in live systems-and fixing them

Bonus Points

• Built BI platforms, analytics engines, or internal data products
• Experience with B2B SaaS, especially enterprise data or AI products
• Startup or founding-team experience
• Shipped LLM-powered features or agentic systems to production

The Mindset We Value

Ownership > Instructions

You see a problem and take it to completion. You care about outcomes, not just tasks.

Builder First

Youve wrestled with distributed systems, shipped fixes under pressure, and care deeply about code quality.

Startup DNA

You thrive in ambiguity, move fast, and enjoy building from zero to one.

Why Join DecisionX

• Meaningful equity with real influence on company direction
• Direct access to founders and ownership of core architectural decisions
• Work at the intersection of distributed systems, data engineering, and agentic AI
• Solve hard, novel problems with a modern, cutting-edge stack
• Build systems that power decisions for leading global enterprises

You wont just build features - youll help define the platform.

Ready to Build?

If you want to:

• Build foundational infrastructure for enterprise-grade AI systems
• Work closely with founders on architecture and strategy
• Own outcomes and make an outsized impact

Lets talk.