Job Title : Engineering Manager – AI Products
Experience : 6+ Years
Location : Hyderabad (Work from office)
About Leoforce
Leoforce builds AI-native agentic platforms that automate and accelerate hiring. Our engineering team focuses on building fast, scalable systems that integrate AI in practical, production-ready ways.
Role Overview
We're hiring an Engineering Manager with deep technical expertise, strong execution skills, and experience leading teams that deliver production-grade software. You'll work closely with Product and AI teams to drive architecture, delivery, and performance across backend systems that power our agentic automation platform.
This is a hands-on leadership role. You should be comfortable diving into code, designing scalable systems, and setting a high bar for engineering quality.
Responsibilities
- Lead a team of engineers delivering AI-integrated backend systems
- Design and review architecture for scalability, reliability, and performance
- Guide and unblock engineers across design, implementation, and deployment
- Ensure clean, well-tested code and solid system observability
- Partner with AI, DevOps, and Product to turn concepts into shipped features
- Drive planning, estimates, and team-level execution
- Own hiring, mentorship, and growth within your team
Key Requirements
6 to 8 years of experience in backend engineeringAt least 1 to 2 years in a tech lead or engineering manager roleStrong in system design, API design, and service-oriented architectureProficient in .NET Core (preferred) or similar backend stacks like Python or Node.jsExperience building distributed systems using microservices and message queuesFamiliarity with AI, LLM APIs, or agent-based workflows (integration or conceptual understanding is sufficient)Experience with cloud platforms like Azure or AWSProficiency in containerization using Docker and KubernetesProven track record of delivering production systems in high-performance environmentsExperience with Kafka, Redis, or other event-streaming and data caching systemsExposure to prompt engineering or chaining LLM APIs into workflowsExperience hiring and building high-performing engineering teamsWhy Join Leoforce
Work on real AI-first products, not AI add-onsLead architecture and delivery with full ownershipBuild and scale systems from scratchJoin a strong tech culture focused on clean code and fast executionShow more
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Skills Required
Kafka, Node.js, API Design, Redis, Microservices, data caching , Docker, Distributed Systems, System Design, .Net Core, Python, Kubernetes