Senior Backend Engineer (Python + Cloud)

Infocusp Innovations; Pune District, Ahmedabad District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Infocusp Innovations is seeking a Senior Backend Engineer to design, build, and scale AI-powered backend platforms. The role emphasizes cloud-native architectures, RAG pipelines, and agentic AI workflows, with production deployment and observability responsibilities.

You will work on data-intensive services, distributed systems, and secure deployments across AWS/GCP, using Terraform or similar IaC tools, and contribute to reliable CI/CD pipelines in a fast-moving AI environment.

Qualifications

• 4+ years of backend development experience.
• Entry entries with significant prior experience in the fields above will be considered.
• Strong experience in Python and FastAPI.

Responsibilities

• Design, develop, and maintain scalable backend services using Python, FastAPI, and asynchronous microservices architectures.
• Build and optimize data-intensive applications using PostgreSQL, Redis, and MongoDB at production scale.
• Develop high-performance APIs and distributed systems to support AI-driven applications.
• Architect and manage cloud-native applications on AWS or GCP.
• Deploy and operate services using ECS, Lambda, Cloud Run, and other cloud-native technologies.

Skills

Python development

FastAPI

Asynchronous microservices

CI/CD pipelines

Observability

Mentoring

Education

BE/BTech/BSc

Tools

PostgreSQL

MongoDB

Redis

AWS

GCP

Terraform

CloudFormation

Pulumi

LangGraph

LangSmith

Arize

Job description

About the Role

We are looking for a highly skilled Senior Backend Engineer to design, develop, and scale Al-powered applications and backend platforms. The ideal candidate will have strong expertise in backend engineering, cloud-native architectures, Retrieval-Augmented Generation (RAG) systems, Agentic Al frameworks, and production-grade LLM deployment. This role requires hands‑on experience in building scalable Al solutions, optimizing cloud infrastructure, and ensuring reliability, observability, and security in production environments.

Responsibilities

1. Backend Engineering & Platform Development

• Design, develop, and maintain scalable backend services using Python, FastAPI, and asynchronous microservices architectures.
• Build and optimize data‑intensive applications using PostgreSQL, Redis, MongoDB or equivalent technologies at production scale.
• Develop high-performance APIs and distributed systems to support AI-driven applications.

2. Cloud Infrastructure & DevOps

• Architect and manage cloud-native applications on AWS or GCP.
• Deploy and operate services using ECS, Lambda, Cloud Run, and other cloud-native technologies.
• Implement and manage Infrastructure as Code (IaC) using Terraform or equivalent frameworks like Pulumi, Cloudformation.
• Build and optimize CI/CD pipelines for reliable and automated deployments.

3. Retrieval-Augmented Generation (RAG) & Agentic AI Systems

• Design and implement production-grade RAG pipelines.
• Build hybrid retrieval systems using BM25, pgvector, vector databases, and semantic search techniques.
• Optimize retrieval accuracy, latency, and scalability for enterprise use cases.
• Build agentic workflows (LangGraph or similar) with tool calling, multi‑step orchestration, and production guardrails like fallback routing and human‑in‑the‑loop controls.

4. Monitoring and Observability

• Instrument backend services end‑to‑end with metrics, distributed tracing, and structured logging using OpenTelemetry
• Hands‑on with some observability stacks Prometheus + Grafana, Datadog/New Relic, and centralized logging (ELK/Loki)
• Build actionable dashboards and alerting to detect latency, errors, and resource bottlenecks before customer impact
• Experience with LLM/AI system observability token usage, latency, and quality tracing (Langfuse, LangSmith, Arize)

Requirements

• 4+ years of experience in backend development.
• B.E.\B.Tech\B.S. Candidates' entries with significant prior experience in the fields above will be considered.
• Strong experience in Python development and FastAPI.
• Hands‑on experience with asynchronous microservices architectures.
• Expertise in PostgreSQL, Mongodb, Redis, and distributed backend systems.
• Experience with AWS or GCP cloud platforms and Infrastructure as Code (Terraform, Cloudformation or equivalent).
• Strong understanding of CI/CD pipelines and DevOps best practices.
• Proven experience building and deploying RAG systems in production environments.
• Experience with LangGraph, tool calling, and agent-based AI architectures.
• Experience with development using AI coding agents like claude code, cursor, codex or equivalent.
• Guardrails in production: model fallback routing, prompt-injection defense, token cost budgets.
• Demonstrated ownership mindset with the ability to drive projects and deliver high‑quality solutions.
• Experience in mentoring team members, conducting code reviews, and sharing best practices.