Software Engineer, AI

🔥 2 minutes ago

🇵🇱 Poland – Remote

💵 zł16.5k - zł28k / month

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CodiLime

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🤝 B2B

📡 Telecommunications

🔧 Hardware

B2B • Telecommunications • Hardware

CodiLime is a software and network engineering services company that partners with networking hardware vendors, software providers, and telecommunications firms to create proofs-of-concept, develop new products, and support production environments. Founded in 2011 and grown to 300+ employees, the company specializes in network automation, low-level systems programming, observability, DevOps, and cybersecurity, serving clients worldwide (US, Japan, Israel, Europe). CodiLime primarily operates as a B2B service provider to tech startups and large industry players.

📋 Description

• Design, build, test and operate production Python services with FastAPI, including endpoint design, Pydantic validation, authentication, error handling and observability • Write and optimize SQL against PostgreSQL and contribute to schema and data-model decisions • Deploy and run services on Kubernetes, including reasoning about stateful versus stateless workloads and persistent data • Build and integrate generative AI features connecting LLMs with enterprise data, APIs and internal tools • Design prompts, tool calls, workflow orchestration, context management, guardrails and human review • Evaluate AI workflows and monitor quality, latency, cost and failure rates • Maintain automated pytest coverage and help build automated quality gates • Use AI coding assistants while validating generated output before production • Apply security-first practices including tenant isolation, RBAC and least-privilege data access • Participate in code reviews and improve engineering practices • Document data flows, API contracts and AI workflow behavior for non-engineers • Collaborate with product managers, UX designers, engineers, data scientists and client-facing stakeholders

🎯 Requirements

• 6+ years of professional experience in software engineering with Python • Experience with FastAPI and Pydantic - endpoint design, dependency injection, models and validators, auth and error handling • Solid REST API design - versioning, predictable error semantics, token management, retries - with OAuth 2.0/Okta, JWT and role-based access control (RBAC) • Experience with automated testing with pytest • Strong SQL fundamentals (joins, GROUP BY, aggregate functions, query optimisation) and hands-on experience using PostgreSQL from Python - ORMs, database drivers, and a clear understanding of the trade-offs between synchronous and asynchronous drivers • Solid experience deploying and operating applications on Kubernetes • Experience with CI/CD pipelines (ideally GitHub Actions) • Hands-on experience integrating LLM APIs into production applications, including prompt design, tool/function calling, and safe handling of non-deterministic output • Experience using AI coding assistants such as Claude Code, Codex, or similar on a daily basis • Understanding of multi-tenant SaaS application security • Ability to evaluate AI features and monitor quality, latency, cost, and reliability • Product mindset and ownership - you identify problems, propose solutions, and take features from idea to production • Strong communication skills and good knowledge of English (minimum C1 level) • Evaluation and observability tooling for LLM features: eval harnesses, tracing, output scoring (LangSmith, Langfuse, Arize Phoenix or OpenTelemetry) — nice-to-have • Systematic prompt optimisation — nice-to-have • Agentic patterns beyond single LLM calls: multi-step orchestration, context management, guardrails and human-in-the-loop — nice-to-have • Retrieval-augmented generation (RAG) and vector search (pgvector, Pinecone), plus frameworks such as LangChain or LangGraph — nice-to-have • Experience with Snowflake or a comparable cloud data warehouse — nice-to-have • Temporal, Socket.IO / WebSockets, Redis, pub/sub — nice-to-have • Working knowledge of React / TypeScript — nice-to-have

🏖️ Benefits

• Flexible working hours and approach to work: fully remotely, in the office or hybrid • Professional growth supported by internal training sessions and a training budget • Solid onboarding with a hands-on approach to give you an easy start • A great atmosphere among professionals who are passionate about their work • The ability to change the project you work on