Senior AI Engineer

DAC.digital Group; Województwo pomorskie; On-site; PLN 334,800 - 390,600; Full time

Benefits offered by this job

100% remote work option

Working at the office in Gdańsk

Job summary

A leading technology firm in Poland is seeking an experienced AI Engineer to design and implement modular AI agents, with a focus on LLM and RAG technologies. The ideal candidate will have 5+ years of experience in software/platform engineering and fluency in English. Responsibilities include integrating solutions across clients via APIs and ensuring system reliability. A remote work option is available, and hands-on expertise with frameworks like LangChain and AutoGen is preferred.

Qualifications

• Experience in software/platform engineering with production LLM applications.
• Hands-on expertise in frameworks like LangChain and AutoGen.
• Solid fundamentals in Python and TypeScript.

Responsibilities

• Design and implement modular AI agents with robust state management.
• Connect agents to enterprise tools and data sources via APIs.
• Implement retrieval-augmented generation (RAG) with structured stores.

Skills

Fluency in English (min. C1)

5+ years in software/platform engineering with production LLM applications

Hands-on expertise with agentic frameworks

RAG engineering across vector DBs

Building observable LLM systems

Solid software engineering fundamentals: Python/TypeScript

Clear communication with clients

Working in agile methodologies

Eager to learn and share knowledge

Tools

LangChain

Microsoft AutoGen

CrewAI

LlamaIndex

Semantic Kernel

Haystack

Job description

At DAC.digital, we are constantly growing our business. As part of our growth strategy, we are strengthening our strategic partnership with a company leveraging Generative AI to drive enterprise revenue and profit.

Key information:

• 30 000 – 35 000 PLN net/month – pure B2B contract
• 26 000 – 30 500 PLN net/month – B2B contract (days off included)

It is vital that you have:

• fluency in English (min. C1);
• 5+ years in software/platform engineering with recent production LLM applications (not just prototypes);
• hands-on expertise with agentic frameworks (one or more of: LangGraph/LangChain Agents, AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, Haystack Agents) and tool/function-calling patterns;
• strong RAG engineering across vector DBs, chunking/embedding strategies, metadata/search ranking, and grounding techniques;
• proven track record building observable, cost-aware, and secure LLM systems (tracing, evals, guardrails, secrets/IAM, PII handling);
• solid software engineering fundamentals: Python/TypeScript, async patterns, APIs, testing, CI/CD, containerization;
• clear communicator who can interface with clients and write crisp technical docs;
• working in agile methodologies (Scrum, Kanban);
• eager to learn and share knowledge.

Nice to have:

• cross-cloud exposure (AWS/GCP) and hybrid integrations; experience with enterprise connectors (SharePoint/OneDrive, ServiceNow, Salesforce);
• experience with structured output, constrained decoding, JSON Schemas, and program-of-thought planning.
• Python
• TypeScript
• LLM
• LangGraph / LangChain Agents
• CI/CD

You will be responsible for supporting our team in:

• design and implement modular AI agents with robust state management, memory, and routing using frameworks like LangChain/LangGraph, Microsoft AutoGen, CrewAI, LlamaIndex, Semantic Kernel, and Haystack;
• build reusable components including planners, tool registries, policy guards, and evaluators, integrated across clients and domains.
• connect agents to enterprise tools and data sources via APIs, webhooks, queues, and event-driven flows;
• implement retrieval-augmented generation (RAG) with vector and structured stores (pgvector, Pinecone, Weaviate, SQL, Graph), ensuring reliability with fallbacks, circuit breakers, and caching;
• define SLIs/SLOs, implement metrics, logging, and tracing (e.g., Langfuse, OpenTelemetry), and develop evaluation harnesses (automatic and human-in-the-loop) to measure task success, safety, and cost;
• productionize agents using CI/CD, feature flags, and canary deployments, optimizing cost-per-task and time-to-success.
• apply policy-as-code, data redaction, role/tenant isolation, and data minimization, collaborating with security teams to meet ISO 27001, SOC 2, NIST, HIPAA, and GDPR requirements;
• translate business processes into agentic solutions and create domain-specific agents and reusable templates for enterprise workflows.

What do we offer:

• possibility to work 100% remotely or on-site at our office in Gdańsk;