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Salmon Group
Manila, Metro Manila, Philippines • Hybrid
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Design and implement a reliable backend integration layer using MCP to allow LLM agents to interact with internal company APIs. Own the end-to-end lifecycle of these integrations, including authentication, rate limiting, observability, and deployment on AWS/Kubernetes.
Requires a senior Python developer with over 5 years of experience in backend microservices and hands-on expertise with Docker and Kubernetes. Preference is given to candidates with experience in LLM agent frameworks, strong API design skills, and knowledge of Python concurrency models.
We are looking for a senior Python engineer to build the integration layer that lets our LLM agents act on real systems. You will own the backend service through which agentic products — chatbot and future agentic systems — invoke internal APIs across the company. The current transport protocol for this layer is MCP (Model Context Protocol).
You are going to work closely with our AI Engineers. They build agent logic; you build the reliable, ergonomic surface they call. The split lets each side focus: agent reasoning on one side, backend integrations and reliability on the other.
Design and ship integrations that LLMs can use effectively
Design tool APIs with attention to schema clarity, error message quality, and idempotency — agents reason about your responses, so wording and structure matter
Own each integration end-to-end: auth, rate limiting, retries, safe defaults for destructive or sensitive operations, and observability
Write focused tests, including contract tests against the upstream services you integrate with
Build the platform around the integrations
Define and evolve the internal template for adding new tools — the catalog will grow, and the second integration should be cheaper than the first
Instrument every tool with metrics, logs, and traces from day one; usage by agents is the primary signal we operate on
Package, deploy, and operate the service in AWS/Kubernetes (EKS)
Senior-level Python backend experience (5+ years), with services you have shipped, operated, and been on-call for
Experience designing and operating microservices (FastAPI or similar)
Hands-on experience with Docker and Kubernetes
A platform mindset: your users are other engineers, and your API design reflects that
Prior work with LLM tool-calling / function-calling / agent frameworks (MCP, OpenAI/Anthropic tool use, LangChain, or similar) — or strong curiosity about this space
Strong API design background: OpenAPI, contract testing, SDK ergonomics, schema evolution
AWS and Terraform experience
Understanding of concurrency models in Python (asyncio, multiprocessing, threading)
Fintech, payments, or risk domain exposure
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