Lead Backend Engineer

About Deccan AI

At Deccan AI , we’re reimagining the future of work by building a freelancer platform powered by AI. From onboarding and assessment to deployment and payments , we aim to deliver a seamless, trusted, and scalable freelancer experience. If you’re passionate about distributed systems, AI-native workflows, and user-first design , this is your chance to shape a platform that empowers global talent.

The Role

We’re looking for a hands-on Engineering Lead / Manager to own the end-to-end freelancer journey . You’ll architect backend-heavy services, integrate AI-driven workflows, and mentor engineers — while bringing UI / UX understanding to product and stakeholder conversations. From onboarding → assessments → notifications → project deployment → payments , you’ll shape how freelancers experience our platform.

Responsibilities

Freelancer Journey : Own services for onboarding, assessments, notifications, courses, playgrounds, deployments, and payments.

AI / ML Features : Build semantic search for talent discovery.

Develop AI-driven interviews and assessments .

Integrate fraud detection (ML pipelines, browser extensions).

Deploy AI agents and workflow automation.

Backend & Scale : Architect backend services in Java / Golang / Python with caching, queues, and APIs .

Databases : Design and optimize Postgres / MySQL (relational) and MongoDB / DynamoDB (NoSQL) ; use VectorDBs for semantic search.

Cloud & Infra : Deploy on AWS / GCP with Kubernetes, infra-as-code, CI / CD.

Monitoring & Reliability : Build observability into all systems (Prometheus, Grafana, Datadog, OpenTelemetry).

Leadership : Mentor engineers, run 1 : 1s, drive planning / execution, and uphold engineering quality.

Product Alignment : Apply UI / UX understanding to align product decisions with stakeholder and freelancer needs.

Requirements

8+ years in software engineering, with 2–3+ years in leadership roles.

Backend expertise in Java / Golang / Python, distributed systems, caching, queues .

Database experience : Postgres / MySQL , MongoDB / DynamoDB , VectorDBs .

Experience with AI-native workflows : semantic search, AI interviews, fraud detection, workflow automation.

Cloud-native deployment experience ( AWS / GCP, Kubernetes, infra-as-code, CI / CD ).

Strong UI / UX awareness for stakeholder / product discussions.

Proven track record of hands-on coding + leadership / mentorship .

Bonus : Experience with marketplaces, payments, or workforce platforms.

Why Deccan.ai?

Impact : Define the future of freelancer platforms with AI at the core.

Balance : Stay hands-on while building and leading teams.

Innovation : Deliver AI-powered features like semantic search, fraud detection, and automated workflows.

Scale : Solve distributed systems challenges across onboarding, projects, and payments.

Growth : Career-defining opportunity to own the full freelancer lifecycle.

At Deccan AI, you’ll architect freelancer-first systems , integrate cutting-edge AI workflows , and lead a team building a platform that transforms how talent connects with opportunity.