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Selected role

AI Engineer (Fullstack)

Codilime Warszawa, MZ, PL

Senior Full-time

Get to know us better

CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe).

While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple:

Act to deliver.
Disrupt to grow.
Team up to win.

The project and the team

You will work on a large-scale, multi-tenant B2B commercial execution platform used by enterprise go-to-market teams. It combines cloud software, capability benchmarking and advanced analytics to turn commercial strategy into measurable action - from account planning and partner management to pricing and sales performance.

This is a hybrid Fullstack + AI Engineering role. You'll turn product and design vision into shipped software, with genuine depth in either front-end UI engineering or backend services, and working competence in the other. Daily use of AI development tools is part of how the whole team works, not an add-on.

Beyond building product features, you'll design and integrate generative AI capabilities that connect LLMs with the platform's enterprise data, APIs and internal tools - prompt design, tool calling, workflow orchestration, context management, guardrails and human review - all instrumented so that quality, latency and cost are measurable rather than assumed.

You'll be in regular, direct contact with product managers, designers, and client-facing stakeholders, and you'll collaborate with a dedicated team of AI engineers and data scientists on the platform's harder analytical challenges - you own the product integration layer, they own the deeper modeling work. Security runs through everything. This is a multi-tenant SaaS platform handling sensitive enterprise client data, so every feature you ship needs to respect tenant isolation, role-based access control, and least-privilege data access across the UI, API, and AI workflow layers.

Technology stack:

Frontend: React, TypeScript, MUI / styled-components, ag-Grid, D3.js, amCharts, Mapbox GL
Backend: Python (FastAPI) / Node.js, REST
AI: LLM APIs, prompt engineering, tool/function calling, LangChain / LangGraph, RAG, vector search (pgvector, Pinecone)
AI-Assisted Development: Claude Code, Codex, or similar AI coding assistants
AI observability: LangSmith, Langfuse, Arize Phoenix, OpenTelemetry
Data: PostgreSQL, SQL, Snowflake, Redis
Authentication & Security: OAuth 2.0, Okta, JWT, RBAC
Cloud & DevOps: AWS / Azure, Docker, Kubernetes, GitHub Actions
Real-Time & Messaging: Temporal, Socket.IO / WebSockets

What else you should know:

Team: Product Managers, UX Designers, Fullstack Engineers, Data Engineers, DevOps Engineers, AI Engineers, Data Scientists, client-facing stakeholders
AI-augmented development is a core expectation of the role, not optional - daily use of tools like Claude Code or Codex across coding, testing, debugging, and code review
Multi-tenant SaaS platform handling sensitive enterprise client data - a security-first mindset is expected across every layer
Agile, collaborative, impact-driven environment with close cooperation with business and client-facing stakeholders
Strong ownership culture and product mindset

We work on multiple interesting projects at a time, so it may happen that we’ll invite you to an interview for another project if we see that your competencies and profile are well suited for it.

Your role

As a part of the project team, you will be responsible for:

Developing features across the full stack, with strong expertise in either React/TypeScript UI or Python (FastAPI)/Node.js services, and working knowledge of the other
Working with Product Managers and Designers to turn product requirements and designs into production-ready software
Owning features end to end: from first implementation through release, instrumentation and iteration based on how the feature is actually used
Building and integrating generative AI features that connect LLMs with the platform's enterprise data, APIs and internal tools - prompt design, tool calling, workflow orchestration, context management, guardrails and human review
Evaluating AI workflows and monitoring quality, latency, cost, and failure rates
Using AI coding assistants effectively while validating all generated output before it reaches production and helping build automated quality gates
Participating in code reviews, identifying architectural and AI reliability risks, and improving engineering practices
Documenting data flows, API contracts, and AI workflow behavior clearly enough for non-engineers to act on
Writing and optimizing SQL against PostgreSQL and contributing to schema and data-model decisions
Applying security-first thinking at every layer, including tenant isolation, role-based access control, and least-privilege data access across UI, API, and AI workflows

Do we have a match?

As an AI Engineer, you must meet the following criteria:

6+ years of professional experience in fullstack web development
Strong experience in either: React / TypeScript UI engineering, or Python (FastAPI) / Node.js backend development
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
Strong SQL and relational database knowledge, preferably PostgreSQL
Experience with APIs, authentication, authorization, and technologies such as OAuth 2.0, JWT, and RBAC
Understanding of multi-tenant SaaS application security
Experience with Docker and Kubernetes
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)

Beyond the criteria above, we would appreciate the following nice-to-haves:

LLM evaluation and observability tools such as LangSmith, Langfuse, Arize Phoenix, or OpenTelemetry
Knowledge of prompt optimization and evaluation techniques
Agentic workflows, multi-step orchestration, guardrails, and human-in-the-loop patterns
RAG and vector search, e.g. pgvector or Pinecone
LangChain or LangGraph
Experience with Snowflake or a comparable cloud data warehouse
Temporal, Socket.IO / WebSockets, Redis, pub/sub

More reasons to join us

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

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