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.