Lead backend engineering for a centralized AI platform, designing scalable REST APIs and Python services for agent lifecycle management, deployment, monitoring, authentication, authorization, and asynchronous workflows. Develop data layers and database schemas, contribute to distributed architecture and SDK design, and ensure reliability through testing, CI/CD, and security practices. Mentor engineers, guide technical decisions, and work with modern agentic AI frameworks.
Overview
Responsibilities
We are seeking a Lead Software Engineer to design and deliver the core backend services for our centralized AI platform. This role bridges hands-on engineering and technical leadership — owning major components of the backend while guiding mid-level engineers. You’ll work closely with senior ICs and cross-functional teams to build scalable, secure, and reliable services that power our agentic framework, enabling teams across the company to deploy and manage AI agents seamlessly.
Responsibilities
- Design and implement scalable RESTful API endpoints for the AI platform.
- Build and optimize backend services in Python (FastAPI, Django, or Flask) to handle agent lifecycle management, deployment, and monitoring.
- Contribute to secure authentication and authorization systems supporting multi-tenant architecture.
- Develop efficient data access layers and database schemas for AI agent operations.
- Implement asynchronous task processing for long-running AI workflows.
- Collaborate with IC5 engineers on backend architecture and SDK designs, contributing to technical direction while driving execution.
- Provide mentorship to IC3 engineers through code reviews, technical discussions, and best practices.
- Ensure quality and reliability through automated testing, CI/CD pipelines, and adherence to security standards.
- Stay updated on modern backend and AI/agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph).
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5+ years of backend development experience, with significant experience building scalable Python applications and APIs.
- Proficiency with modern Python frameworks (FastAPI, Django REST Framework, Flask).
- Solid experience with relational databases (PostgreSQL, MySQL) and ORM frameworks (SQLAlchemy, Django ORM).
- Hands-on familiarity with distributed systems or microservices.
- Working knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience with Git, CI/CD workflows, and automated testing.
- Exposure to agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or strong interest in learning.
- Cloud experience (AWS, GCP, or Azure) preferred.
- Demonstrated ability to mentor junior engineers and influence technical decisions.
Similar Jobs
Artificial Intelligence • Information Technology • Analytics
Lead large-scale site reliability initiatives across Azure, AWS, and GCP to improve SaaS performance, availability, scalability, and cost efficiency. Manage Kubernetes and container platforms, build infrastructure automation and CI/CD workflows, enhance observability and automated recovery, support cloud-native application deployments, collaborate with cloud providers, and mentor junior engineers. Apply SRE, DevOps, IaC, monitoring, and AIOps practices in mission-critical 24x7 environments.
Top Skills:
Ai/MlAiopsAmazon EcsAmazon EksArm TemplatesAWSAzureAzure Kubernetes Service (Aks)Azure MonitorBashCi/CdDockerGoogle Cloud Platform (Gcp)GrafanaHelmKubernetesPowershellPrometheusPythonTerraform
Database
Lead a backend engineering team building enterprise financial reporting and BI solutions. Own architecture, technical design, coding, code reviews, delivery quality, and roadmap decisions across Oracle, .NET/C#, Azure, and BI technologies. Coach engineers, promote AI-assisted development with tools such as GitHub Copilot and Claude Code, manage performance and growth, and enforce engineering, release, and CI/CD standards while partnering with Product, QA, DevOps, and Customer Success.
Top Skills:
.NetAzureC#Ci/CdClaude CodeCursorGitGithub CopilotOraclePl/SqlPower BIQlikRest ApisSQLTableau
Other • Retail
Leads hands-on engineering for Kubernetes-native cloud control planes across Cloud Edge, Storage, and Backup platforms. Designs Crossplane compositions, APIs, controllers, and reusable platform abstractions; writes and reviews Go services; modernizes legacy provisioning into declarative models; and establishes standards for testing, releases, observability, and operational readiness. Partners across global teams, mentors engineers, leads architecture decisions, participates in on-call support, and serves as a production escalation point.
Top Skills:
APIsAWSAzureCloud-Native PlatformsCrossplaneCustom Resource Definitions (Crds)Distributed SystemsGoInfrastructure As CodeKubernetesKubernetes ControllersRustTerraform
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
