Job Description

We are seeking a

Senior AI Engineer

with a strong foundation in

software engineering

and

GenAI solution development

. The ideal candidate combines advanced Python expertise, DevOps fluency, and hands-on experience with

LLM-based agentic frameworks

, building robust, production-grade AI systems.

Core Responsibilities

Write

high-quality, maintainable Python code

, adhering to established coding standards and best practices. Conduct thorough

code reviews

, effective

debugging

, and

comprehensive testing

to ensure software reliability and performance. Implement and maintain

CI/CD pipelines

using automation tools such as

GitHub Actions, Azure DevOps, Docker, and Kubernetes

, streamlining deployment workflows. Develop, containerize, and deploy AI solutions across

enterprise environments

(Dev, QA, Stage, Prod). Integrate

logging, monitoring, and alerting

systems to enable operational reliability and proactive issue resolution. Collaborate with cross-functional teams to align technical solutions with business goals and performance standards.

GenAI-Specific Responsibilities

Design and implement

AI agentic solutions

using frameworks such as

LangChain, LangGraph, LangFlow, AutoGen

, or similar. Customize and optimize

LLM-powered architectures

for scalability, reliability, and real-world applicability. Evaluate new GenAI frameworks, tools, and methods to continuously improve solution performance and developer productivity. Integrate

external APIs

,

vector databases

, and

retrieval-augmented generation (RAG)

pipelines into production-ready systems.

Requirements

5+ years of professional software engineering experience, with advanced proficiency in

Python

. Strong understanding of

containerization

(Docker) and

orchestration

(Kubernetes). Proven experience building and maintaining

CI/CD pipelines

(GitHub, Azure DevOps, Jenkins, or equivalent). Experience deploying applications in

cloud environments

(Azure, AWS, or GCP). Familiarity with

monitoring tools

(Prometheus, Grafana, ELK stack) and best practices in observability. Practical hands-on experience developing or extending

LLM-based applications

using agentic frameworks (LangChain, LangGraph, etc.). Strong problem-solving, communication, and documentation skills.

Preferred Qualifications

Experience with

vector databases

(FAISS, Pinecone, Weaviate, Chroma). Familiarity with

RAG pipelines

,

prompt engineering

, or

model orchestration

. Exposure to

MLOps

,

AI evaluation pipelines

, and

cloud-based AI deployments

. Understanding of

security

,

authentication

, and

data privacy best practices

in AI systems.

What do we offer you?

Attractive salary Large freedom and real influence No unhealthy competition, team approach to meeting challenges Remote-first, flexible working culture Company apartments in cool cities across Europe: work and enjoy a memorable getaway

About Us

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions -- always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.

Job Type: Full-time

Pay: 45,000.00-102,000.00 per year

Benefits:

Work from home
Experience:

Python: 5 years (required) AI: 4 years (required)
Work Location: Remote