AI Application Full Stack Engineer

Mekari; Jakarta Pusat; On-site; IDR 279,000,000 - 502,200,000; Full time

Job summary

Mekari in Jakarta is seeking a backend/ML platform engineer to design high‑concurrency REST/streaming APIs, implement authentication and tenant isolation, and shape the platform that powers our AI‑driven services.

You will deliver versioned model drivers, routing policies, observability dashboards, and cost controls, collaborating across product teams to improve routing, safety, and performance while maintaining clear technical documentation.

Responsibilities

• API & Platform Architecture: Design high-concurrency REST/streaming APIs, handle auth (OAuth2), RBAC, tenant isolation, fallbacks, metering, and PostgreSQL data modeling.
• Model & Agent Delivery: Integrate provider/self-hosted models, maintain versioned capability catalogues, and build lightweight, task‑specific models and agent drivers.
• Routing & Optimization: Run policy‑aware routing, run benchmarks across prompt/output variations, and optimize throughput, latency, and token economics.
• Evaluation & Safety: Partner with experts to curate task datasets, set release thresholds, run baseline comparisons, and deploy shadow/staged releases safely.
• Operations & Governance: Maintain observability dashboards, alerts, runbooks, cost controls, tenant data privacy, clear technical documentation, and code quality.

Skills

API design

Platform architecture

RBAC

OAuth2

PostgreSQL

Tools

PostgreSQL

Job description

Mekari is Indonesia's no. 1 Software-as-a-Service (SaaS) company. With our ecosystem of software solutions—including Mekari Jurnal, Mekari Talenta, Mekari Qontak, and Mekari Flex, we aim to facilitate entrepreneurs and leaders as they accelerate the digital transformation of their businesses.

In our 10+ years of journey we have reached over 3 Million platform users, and we're not planning to stop any time soon. We need more people like you: builders and owners with calculated ambition who are ready to #ElevateThroughImpact and raise Indonesia's software standard.

How The Role Ships End-to-End

• Platform Shipping: Build and run secure, observable inference APIs, routing policies, tenant controls, metering, and operator control surfaces.
• Intelligence Supply: Deliver versioned agent drivers, task‑specific small models, prompts, tools, and retrieval pipelines for product integration.
• Evaluation & Feedback: Use production data, benchmarks, quality gates, and cost metrics to continuously improve models, routing, and guardrails.

Core Responsibilities

• API & Platform Architecture: Design high-concurrency REST/streaming APIs, handle auth (OAuth2), RBAC, tenant isolation, fallbacks, metering, and PostgreSQL data modeling.
• Model & Agent Delivery: Integrate provider/self-hosted models, maintain versioned capability catalogues, and build lightweight, task‑specific models and agent drivers.
• Routing & Optimization: Run policy‑aware routing, run benchmarks across prompt/output variations, and optimize throughput, latency, and token economics.
• Evaluation & Safety: Partner with experts to curate task datasets, set release thresholds, run baseline comparisons, and deploy shadow/staged releases safely.
• Operations & Governance: Maintain observability dashboards, alerts, runbooks, cost controls, tenant data privacy, clear technical documentation, and code quality.

Typical Deliverables

• Production inference APIs, web control surfaces, tenant quota controls, and accurate usage metering.
• Versioned model integrations, fallback execution rules, capacity plans, and performance benchmarks.
• Task‑specific model endpoints and agent drivers with clear contracts, owners, and versioning.
• Evaluation datasets, release gates, regression checks, and observability runbooks.
• Technical design notes detailing model selection, routing logic, trade‑offs, and unit economics.

Success Measures

• Adoption & Usability: Growing adoption across product teams through a single governed, reusable platform path.
• Quality & Safety: Higher task success rates alongside strict adherence to safety, quality, and tenant policy boundaries.
• Economic & Performance Efficiency: Lower cost and latency per completed task, driven by smaller models and optimized routing.
• Reliability & Agility: Reversible, progressive releases with early detection of regressions, anomalies, or capacity bottlenecks.