to lead the design, development, and deployment of advanced
machine learning and generative AI solutions
. The ideal candidate combines deep technical expertise with creative problem solving, capable of driving end-to-end AI initiatives, from research and experimentation to production deployment and optimization.
Key Responsibilities
Design, build, and deploy
scalable AI/ML systems
across NLP, multimodal, and generative domains.
Lead initiatives involving
fine-tuning, distillation
, or
evaluation
of large-scale language models (LLMs).
Architect and develop
multi-agent systems
leveraging frameworks such as
LangGraph
,
AutoGen
, or
crewAI
for distributed AI functionality.
Build
AI-first features
integrating
feedback loops
,
human-in-the-loop systems
, and
adaptive learning behaviors
.
Develop and optimize
multimodal pipelines
combining image, text, and audio processing.
Collaborate with cross-functional teams to integrate AI capabilities into products and services at scale.
Establish
MLOps best practices
for continuous integration, monitoring, and lifecycle management of ML models.
Contribute to internal research and open-source initiatives advancing AI capabilities and best practices.
Required Skills & Qualifications
Programming:
Expert in
Python
; strong experience with
TensorFlow
,
PyTorch
, and
Scikit-learn
.
Machine Learning Expertise:
Proven experience in
deep learning
,
NLP
,
LLM fine-tuning
, and working with
Hugging Face Transformers
.
Generative AI:
Hands-on experience deploying
LLMs (OpenAI, Anthropic, Mistral, etc.)
into production at scale.
AI Orchestration:
Proficiency with
LangChain
,
LlamaIndex
, and
agent-based frameworks
.
Cloud & MLOps:
Experience with
AWS
,
Azure
, or
GCP
; strong background in
MLflow
,
Kubeflow
, and containerized environments.
Systems Knowledge:
Understanding of
distributed systems
,
data pipelines
, and
model orchestration
in large-scale environments.
Strong analytical, problem-solving, and communication skills with a proven ability to work independently on complex projects.
Preferred Qualifications
Experience with
multimodal systems
(text, image, audio) or
reinforcement learning with human feedback (RLHF)
.
Contributions to
AI research
,
open-source projects
, or
published work
in the field.
Familiarity with
vector databases
,
retrieval-augmented generation (RAG)
, and
knowledge graph integration
.
Experience designing
AI evaluation pipelines
, including bias, safety, and performance testing.
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:
AI/ML : 5 years (required)
Python: 5 years (required)
Work Location: Remote
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