AI Engineer

Are you an AI Engineer who is passionate about building AI Native Infrastructure?

About Ringkas

We're building AI-powered financial infrastructure, working with 33 major banks to improve and scale their conversion.

Roles And Responsibilities

• Take on the challenges of building our Agentic AI with interesting use cases for fintech.
• Being the tip of the spear in our technical team, ensuring to leverage the best and latest technologies to keep us in the game.
• Be owner of your product. Voice in your own opinions of every aspects of our product from tech, logic to UI/UX. And turn those innovative ideas into deliverables.

Requirements

Core requirements

• Strong hands-on experience building production-grade agentic systems, including tool use, multi-agent orchestration, delegation, and agent interoperability protocols such as MCP; familiarity with ACP and A2A is a plus.
• Strong context engineering skills, including prompt and harness engineering, context-window and memory management, loop-control design, and RAG/information retrieval techniques such as ingestion, embeddings, hybrid search, reranking, and citation grounding.
• Experience designing reliable and safe agent behavior through structured outputs, tool schemas, guardrails, retry/fallback strategies, turn/token/time limits, human-in-the-loop controls, and secure tool access.
• Strong evaluation and observability mindset: designing offline and regression evaluations, analyzing traces, debugging quality or tool failures, and monitoring latency, cost, token usage, and production behavior.
• Strong Python software engineering skills for AI-serving systems: building agent runtimes, gateways, tool servers, and event-driven workflows using asynchronous APIs, PostgreSQL/Redis, queues, streaming/SSE, retries, idempotency, and automated tests.
• Security awareness for multi-tenant AI systems, including authentication and authorization, tenant isolation, PII handling, secrets hygiene, and auditability.

Collaboration and delivery

• Comfortable working closely with Software and DevOps teams: defining API contracts, diagnosing integration issues, and helping unblock urgent delivery work.
• Basic operational literacy in Docker, CI/CD, cloud services such as GCP, and production deployment workflows. Full DevOps ownership is not required.
• Able to own a scoped feature end-to-end: agent/tool/config changes, tests and evaluations, trace-based debugging, and a safe DEV rollout.
• Communicates technical trade-offs clearly to product, software, and infrastructure stakeholders.

AI-Augmented Engineering

• Be able to use coding agents (e.g., Claude Code, Codex) to work faster across research, implementation, testing, and debugging.
• Owns and validates all AI-assisted work, including quality, security, and production impact.
• Continuously improves AI-assisted workflows and shares proven practices with the team.

Research and innovation mindset

• Curious and pragmatic R&D mindset: able to evaluate new agent techniques while still shipping reliable product work.
• Keeps up with emerging approaches in context engineering, agent protocols, agent evaluation, and agent reliability.
• Experience or strong interest in self-improving/self-evolving agent systems is a plus, with a disciplined approach to safety, evaluation, and human approval.

Nice to have

• Experience with LangGraph, LangChain, or similar agent frameworks.
• Experience with Langfuse, Phoenix, LangSmith, or comparable AI observability stacks.
• Experience with GCP services such as Pub/Sub, GCS, Vertex AI, or vector databases.
• Experience in regulated, financial, or high-trust product environments.

Benefits

• Competitive compensation.
• 13th Month Salary
• Work from home 2 day/week
• Monitor provided by the company
• Company sponsorship for personal laptop $1,400 or BYOD (bring your own device) option with bonus $1,400
• Private Health Insurance
• 100% Insurance According To Labor Law
• 14 Days Paid Annual Leave
• Gifts on holidays, parking, wedding & newborn baby allowance
• Office facilities: Coffee maker, snacks & drinks
• Happy hour, Team bonding, Company trip
• Opportunities for onsite trips to Indonesia.
• Multicultural, English-speaking, challenging but fun environment.