Job Description

We are seeking a

Lead Generative AI Engineer

with deep expertise in

agent-based system development

to design, implement, and scale

multi-agent workflows

for real-world production environments. The ideal candidate is a

hands-on architect and builder

--fluent in

Python, AI orchestration frameworks, vector databases, and autonomous agent design

--who thrives at the intersection of cutting-edge research and practical deployment.

Key Responsibilities

Architect and implement

autonomous and semi-autonomous AI agents

using frameworks like

LangGraph (preferred), Autogen, CrewAI, or Bedrock

. Design and optimize

prompt engineering strategies

to ensure reliable, scalable agent performance across diverse use cases. Build

end-to-end agent pipelines

integrating vector databases (Azure AI Search, FAISS, Pinecone, Chroma) with batch/streaming ETL workflows. Leverage

CosmosDB and NoSQL databases

to efficiently manage unstructured and semi-structured datasets. Integrate agent systems into

APIs, products, and enterprise workflows

while ensuring security, scalability, and resilience. Conduct

performance tuning, observability, and safety evaluations

of agent workflows in production environments. Contribute to

code reviews, CI/CD pipelines, and engineering best practices

using Git/GitHub workflows. Continuously track and evaluate

emerging GenAI models, frameworks, and protocols

to guide architecture and implementation decisions.

Required Qualifications

Strong

Python expertise

(OOP, production-level code). Hands-on experience with

LLM prompt engineering

across leading models (GPT, Claude, Gemini, LLaMA, etc.). Deep understanding of

agent-based systems

: memory, planning, tool use, autonomous task execution, evaluation frameworks. Expertise with

multi-agent orchestration frameworks

(LangGraph strongly preferred; Autogen, CrewAI also valuable). Experience with

vector databases

(Azure AI Search, Pinecone, FAISS, Chroma) for embeddings and semantic retrieval. Knowledge of

ETL pipelines

and

data transformation

in batch and streaming architectures. Hands-on experience with

CosmosDB or other NoSQL stores

, schema design, and scaling strategies. Strong knowledge of

Git/GitHub workflows

(branching, PRs, CI/CD). Track record of staying at the forefront of

GenAI research and applied tools

.

Preferred Qualifications

Cloud deployment experience with

Azure (preferred), AWS, or GCP

. Familiarity with

LLM fine-tuning, embeddings generation, and tool/plugin calling

. Knowledge of

observability and evaluation frameworks

(human-in-the-loop, automated feedback loops, telemetry). Contributions to

open-source AI frameworks

or relevant publications.

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

Experience:

Lead Engineer: 3 years (required) AI Engineer: 2 years (required)
Work Location: Remote