Join Us

We’re looking for thoughtful, driven people who want to make a difference.  Let’s discover how we can create impact together.

We value ownership
and initiative

We move fast and think long-term

We believe in clarity,
not complexity

We collaborate,
not compete

Open Positions

8+ years of exp, B2+ English

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Basic requirements: 

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Deep Python typing expertise: PEP 484/544/695 concepts, generics, TypeVar, Protocols
Strong understanding of the Python memory model (reference semantics, object lifetimes, GC)
Concurrency mastery: asyncio, threading, multiprocessing — trade-offs (GIL), deadlocks, performance pitfalls
Robust engineering practices: clear interfaces, strict contracts, defensive error handling, testing discipline, SOLID, Onion
Pydantic for validation/serialization; JSON + MessagePack where appropriate
Observability mindset: logs/traces/metrics as first-class product features (Logfire/Otel)
Comfort with event-driven systems and production reliability concerns (idempotency, retries, backoff, failure modes)
Testing (pytest, e2e, unit, etc.)
Agentic Coding skills (Claude Code, Codex, etc)

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 Role-specific requirements: 

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Experience building agentic systems: multi-agent coordination, tool use, verification, synthesis, and streaming
Designing and implementing agent tools/connectors (web search, third-party APIs, internal services) with clean interfaces and strong failure handling
Familiarity with agent frameworks (e.g., PydanticAI, OpenAI Agents SDK, smolagents)
Hands-on with LLM APIs (OpenAI, Gemini, Anthropic): prompting/tool-calling patterns, retries, rate limits, safety/guardrails
Building high-confidence research pipelines: source quality scoring, cross-checking, provenance, citations, and uncertainty representation
Event-driven orchestration for agents: task routing, idempotency, backoff strategies, DLQs, and async workflows
Observability for agent runs: traces, logs, metrics (e.g., OpenTelemetry, Logfire), run-level debugging and evaluation hooks
Serialization and contracts for agent artifacts: Pydantic, JSON/MessagePack (schema discipline, versioning)

8+ years of exp, B2+ English

‍

Basic requirements:

‍

Deep Python typing expertise: PEP 484/544/695 concepts, generics, TypeVar, Protocols, strict mypy in CI (plugins a plus)
Strong understanding of the Python memory model (reference semantics, object lifetimes, GC)
Concurrency mastery: asyncio, threading, multiprocessing — trade-offs (GIL), deadlocks, performance pitfalls
Robust engineering practices: clear interfaces, strict contracts, defensive error handling, testing discipline, SOLID, Onion
Pydantic for validation/serialization; JSON + MessagePack where appropriate
Observability mindset: logs/traces/metrics as first-class product features (Logfire/Otel)
Comfort with event-driven systems and production reliability concerns (idempotency, retries, backoff, failure modes)
Tests with pytest, e2e, unit, etc.
Agentic Coding skills (Claude Code, Codex, etc)

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Role-specific requirements:

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Design and deliver RESTful HTTP APIs with FastAPI (frontend + external API integrations)
Build real-time channels for the product: SSE/WebSockets (streaming events, backpressure, connection lifecycle)
Event-driven backend infrastructure: event schemas, routing, consumer groups, retries, DLQs, ordering/at-least-once semantics
Datastores in production: Postgres + SQLAlchemy 2.x (Core + ORM), query planning, migrations
Redis (caching, queues, locking patterns)
Brokers/queues: RabbitMQ / Kafka / SNS/SQS (producers/consumers, durability, backoff)
Python packaging & runtime: Poetry / uv, dependency management, Docker, deployment hygiene
Cloud & ops basics (esp. GCP in your stack): containers, networking fundamentals, monitoring/alerts
CI/CD pipelines (GitHub Actions/GitLab CI) and infra-as-code (Terraform) — as a plus

8+ years of exp, B2+ English‍

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Requirements:

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If you believe you’d be a great fit for Bioptic, we’d love to hear from you.