KEVURU GAMES
Опис
We are looking for a Middle or Senior AI Engineer to help us design, implement,
and optimize machine learning and AI-powered solutions across our products and
client-facing projects. You will work closely with developers, analysts, and
product managers to transform business ideas into smart, scalable systems.
REQUIREMENTS:
* 3+ years of hands-on experience in AI/ML engineering or intelligent
automation;
* Strong Python skills, including working with LangChain, Transformers,
OpenAI API, or similar tools;
* Experience in designing and deploying AI agents or autonomous workflows;
* Solid understanding of vector databases, embeddings, semantic search, and RAG
pipelines;
* Familiarity with workflow orchestration tools (N8N, Airflow, Prefect, etc.);
* Proficiency in data wrangling (Pandas, SQL, web scraping, etc.) and
unstructured data processing (PDFs, HTML, audio);
* Upper-Intermediate or higher English proficiency.
WOULD BE A PLUS:
* Experience with fine-tuning or prompt engineering of LLMs (e.g., OpenAI,
Cohere, Mistral);
* Familiarity with event-driven architectures and serverless functions;
* Exposure to MLOps tools (MLflow, Weights & Biases, DVC) and agent
observability stacks;
* Understanding of role-based agents, memory modules, and tool-calling
frameworks;
* Participation in AI open-source projects, competitions (e.g., LangChainHub,
Hugging Face), or hackathons;
* Knowledge of real-time monitoring/alerting tools (Prometheus, Grafana,
Sentry).
RESPONSIBILITIES:
* Design, implement, and deploy full-cycle AI agents using LangChain, N8N,
or similar frameworks;
* Build and manage vector stores (e.g., FAISS, Pinecone, Weaviate) for
retrieval-augmented generation (RAG);
* Handle data ingestion, cleaning, transformation, and embedding pipelines
(structured/unstructured data);
* Integrate agents with APIs, internal tools, databases, and external platforms
(e.g., CRMs, support systems);
* Develop and deploy voice-enabled AI agents with speech-to-text, voice
synthesis, and real-time interaction capabilities (e.g. Vocode/LangChain,
Whisper, ElevenLabs, OpenAI, Twilio);
* Monitor, evaluate, and optimize agent performance (latency, quality, cost,
reliability);
* Rapidly generalize and scale agents across new domains and use cases;
* Collaborate with product managers, software engineers, and domain experts;
* Maintain observability across the full lifecycle: versioning, logging,
monitoring, and retraining;
* Stay up to date with the latest in AI workflows, LLM tooling, and agent
orchestration techniques.
OFFER:
* Remote work;
* Open management without bureaucracy;
* Salary reviews according to the results of performance appraisal;
* 10 days paid sick leave and 18 working days’ vacation;
* Days off on National/Bank Holidays according to the legislation of Ukraine;
* Conferences, knowledge-sharing activities, certification;
* Availability of sabbatical;
* Possibility to grow inside the friendly and professional team.
and optimize machine learning and AI-powered solutions across our products and
client-facing projects. You will work closely with developers, analysts, and
product managers to transform business ideas into smart, scalable systems.
REQUIREMENTS:
* 3+ years of hands-on experience in AI/ML engineering or intelligent
automation;
* Strong Python skills, including working with LangChain, Transformers,
OpenAI API, or similar tools;
* Experience in designing and deploying AI agents or autonomous workflows;
* Solid understanding of vector databases, embeddings, semantic search, and RAG
pipelines;
* Familiarity with workflow orchestration tools (N8N, Airflow, Prefect, etc.);
* Proficiency in data wrangling (Pandas, SQL, web scraping, etc.) and
unstructured data processing (PDFs, HTML, audio);
* Upper-Intermediate or higher English proficiency.
WOULD BE A PLUS:
* Experience with fine-tuning or prompt engineering of LLMs (e.g., OpenAI,
Cohere, Mistral);
* Familiarity with event-driven architectures and serverless functions;
* Exposure to MLOps tools (MLflow, Weights & Biases, DVC) and agent
observability stacks;
* Understanding of role-based agents, memory modules, and tool-calling
frameworks;
* Participation in AI open-source projects, competitions (e.g., LangChainHub,
Hugging Face), or hackathons;
* Knowledge of real-time monitoring/alerting tools (Prometheus, Grafana,
Sentry).
RESPONSIBILITIES:
* Design, implement, and deploy full-cycle AI agents using LangChain, N8N,
or similar frameworks;
* Build and manage vector stores (e.g., FAISS, Pinecone, Weaviate) for
retrieval-augmented generation (RAG);
* Handle data ingestion, cleaning, transformation, and embedding pipelines
(structured/unstructured data);
* Integrate agents with APIs, internal tools, databases, and external platforms
(e.g., CRMs, support systems);
* Develop and deploy voice-enabled AI agents with speech-to-text, voice
synthesis, and real-time interaction capabilities (e.g. Vocode/LangChain,
Whisper, ElevenLabs, OpenAI, Twilio);
* Monitor, evaluate, and optimize agent performance (latency, quality, cost,
reliability);
* Rapidly generalize and scale agents across new domains and use cases;
* Collaborate with product managers, software engineers, and domain experts;
* Maintain observability across the full lifecycle: versioning, logging,
monitoring, and retraining;
* Stay up to date with the latest in AI workflows, LLM tooling, and agent
orchestration techniques.
OFFER:
* Remote work;
* Open management without bureaucracy;
* Salary reviews according to the results of performance appraisal;
* 10 days paid sick leave and 18 working days’ vacation;
* Days off on National/Bank Holidays according to the legislation of Ukraine;
* Conferences, knowledge-sharing activities, certification;
* Availability of sabbatical;
* Possibility to grow inside the friendly and professional team.