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Development 2h ago

Backend Engineer

IndiaIndia
Full-time
Not Disclosed
Mid-level

Job Description

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About Freehand: Freehand is a premier, internationally recognized generative AI pioneer, enterprise automation innovator, and intelligent agentic platform leader on an absolute mission to completely redefine how global corporate brands run their backend workflows. By architecting AI-native teams that systematically replace legacy software and large human administrative teams, Freehand automates complex, high-stakes spend management lifecycles for the world’s most demanding global enterprises—including Unilever, Apple, Cardinal Health, Johnson & Johnson, Dunkin’, and Meta. Operating a fast-paced, highly ambitious engineering culture that prizes clarity and delivery velocity, Freehand moves completely past standard pilots into global production scale. The organization provides high-agency backend developers with an uncompromised remote canvas to build fault-tolerant agent execution runtimes, manipulate massive financial transaction rows, and deploy secure distributed pipelines safely worldwide.

Position Overview

We are seeking a highly analytical, systems-minded Backend Engineer to join our core centralized Engineering division in a full-time remote capacity across India. Operating away from routine CRUD SaaS programming, you will step up to claim individual strategic operational accountability for building the distributed systems, robust APIs, and multi-agent infrastructure that power AI-driven enterprise execution. In this high-leverage and high-risk technical seat, you will design and scale secure backend services that orchestrate non-deterministic autonomous agents, enforce rigid enterprise compliance policies, and integrate deeply with legacy global ERPs and financial rails. This position requires a software engineering veteran who structures microservices frameworks fluidly, manages complex data normalization and message queues smoothly natively using relational database models, and codes resilient distributed architectures confidently natively using Python, Node.js, or Go.

Key Responsibilities

  • High-Throughput Backend Architecture Engineering: Design, code, and deploy scalable distributed backend services and server-side logic cleanly natively utilizing Backend system principles to power real-time AI agent execution loops.
  • Workflow Orchestration and State Management: Build and optimize highly resilient workflow engines, automated state machines, and policy enforcement layers tailored to govern complex multi-step enterprise spend processes.
  • Deep ERP and Financial Rails Integration: Architect and maintain robust APIs and secure web service integrations to connect Freehand platforms directly with global ERP systems, procurement networks, and cross-border payment gateways, managing complex cross-system data transformation.
  • Agent Execution Runtime Development: Program core agent runtime primitives—including tool calling matrices, runtime context management, long-term memory models, and multi-step sequential reasoning loops natively leveraging AI Engineer concepts.
  • Traceability and Observability Instrumentation: Instrument agent execution paths with uncompromised transaction logs and full trace captures, tracking tool calls, LLM I/O streams, network latency patterns, and token cost economics.
  • Automated Testing and Evaluation Harnesses: Build automated evaluation frameworks and replay-based regression test harnesses to validate agent behavior, task success rates, output quality bounds, and automated anomaly detection.
  • Resilience and Failure Engineering: Enforce strong architectural guarantees around data consistency, idempotency keys, automated back-off retries, and graceful degradation tracks to safeguard production infrastructure against critical financial failure impact.
  • Enterprise Security Controls Implementation: Protect highly sensitive financial data records by applying fine-grained access controls, role-based permissions, comprehensive audit logs, and modern network isolation controls.

Required Skills & Qualifications

  • Verified professional history running advanced backend software engineering, distributed systems development, core API architecture design, microservices provisioning, or financial technology consulting.
  • Deep, authoritative technical command of modern system design principles, network protocols, server concurrency, data integrity trade-offs, and event-driven message queuing architectures.
  • Expert-tier capability writing production-grade, fault-tolerant backend logic, and structuring scalable data pipelines natively utilizing Backend environments (specifically Python, Node.js, or Go).
  • Practical operational familiarity designing database configurations, optimizing indexing schemas, and mapping transactional tables natively using SQL or advanced NoSQL database engines.
  • Demonstrated history operating within high-stakes environments where backend application failures have immediate, measurable business and credit risk impact (such as financial systems or enterprise enterprise SaaS).
  • Outstanding verbal, written, and cross-functional communication attributes in business-fluent English, enabling absolute confidence when presenting system designs clearly across distributed engineering cells.
  • Location Context: Position open exclusively to qualified backend engineers based permanently and resident within **India** to operate under a 100% remote layout.

Preferred Strategic Indicators (Nice to Have)

  • Prior commercial backend engineering history operating explicitly with multi-agent orchestration frameworks (such as LangChain, CrewAI, or custom LLM stacks) or open-source AI tooling ecosystems.
  • Hands-on functional familiarity managing production tracing and agent observability tools (including LangSmith, Arize, Helicone, or custom telemetry pipelines).
  • Familiarity with event sourcing, enterprise rule engines, or production debugging at hyper-scale across billions of live transactions.
  • An outcome-driven personal philosophy rooted in immense technical ambition, a passion for building trustworthy autonomous systems handling real money, and an eager drive to replace traditional rigid SaaS structures with intelligent software layers.

What We Offer

  • Experience-Calibrated Indian Salaried Structure: A highly competitive full-time baseline salary package tailored precisely to evaluate your distributed systems expertise, programming craftsmanship, and financial data authority.
  • The exceptional professional canvas to directly direct, shape, and code-engineer the core backend runtimes power-routing autonomous enterprise execution for the world’s largest brands.
  • Profound work-from-home remote parameters offering a 100% virtual framework, complete scheduling trust, and zero physical geographic office commuting friction out of any city in India.
  • Direct operational exposure to the absolute leading edge of the gen-AI native wave, working side-by-side with veteran software engineers and AI research practitioners.
  • Access to elite professional integration inside a culture that fiercely minimizes administrative overhead and values high velocity, clear reasoning, and technical independence.

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