Lead AI Engineer

Lead AI Engineer (Praca zdalna)

EPAM Systems

Gdańsk +4 więcej
B2B, PERMANENT
💼 B2B
PERMANENT
🏆 Lead AI Engineer
🤖 AI applications
chatbots
agent workflows
LLM
🐍 Python
FastAPI
🧠 Streamlit
Gradio
☁️ Azure OpenAI
Amazon Bedrock
🤖 GCP Vertex AI
📊 data pipelines
RAG
🤖 AI deployment
🌐 remote work
Polska

Podsumowanie

Lead AI Engineer – projektowanie i rozwój aplikacji AI (chatboty, przepływy agentów), budowa pipeline’ów danych, optymalizacja rozwiązań LLM, współpraca z klientami. Wymagane Python, FastAPI, Streamlit/Gradio, API LLM, wdrażanie AI w skali. Praca zdalna w Polsce, pełny etat, B2B lub umowa o pracę.

Słowa kluczowe

Lead AI EngineerAI applicationschatbotsagent workflowsLLMPythonFastAPIStreamlitGradioAzure OpenAIAmazon BedrockGCP Vertex AIdata pipelinesRAGAI deploymentremote workPoland

Benefity

  • Elastyczny grafik i praca zdalna w Polsce
  • Możliwość wyjazdów zagranicznych do 60 dni rocznie
  • Program rozwoju kariery: przywództwo, coaching, szkolenia miękkie i wellbeing
  • Certyfikacje GCP, Azure, AWS
  • Nieograniczony dostęp do LinkedIn Learning, Get Abstract, Cloud Guru, lekcje angielskiego
  • Ubezpieczenie zdrowotne, karta Multisport, vouchery zakupowe
  • Udział w programie zakupu akcji pracowniczych
  • Stabilne wynagrodzenie (umowa o pracę lub B2B)
  • Biura z strefami rozrywki, darmowe przekąski, kawa i napoje
  • Bonusy poleceniowe, wydarzenia firmowe i społeczne

Opis stanowiska

We are seeking a Lead AI Engineer to design and develop comprehensive AI applications, including chatbots and agent workflows.You will work closely with clients to deliver tailored LLM-driven solutions that align with their business needs. Your role involves creating and managing data pipelines, refining AI system performance, and staying informed on the latest LLM technologies and frameworks. Join us to advance your career by solving complex AI challenges and delivering impactful solutions.Responsibilities Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be +) Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be +) Conduct research and rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes Requirements Strong proficiency in Python, experience with web frameworks like FastAPI or similar Understanding of the AI application development lifecycle Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.) Knowledge of advanced AI integration patterns (e.g., RAG, Agents) Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods Proven experience in AI engineering and delivering ML-based solutions Strong problem-solving skills and attention to detail Excellent communication, collaboration, and interpersonal skills Nice to have Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms Familiarity with emerging protocols such as MCP, A2A, ACP, etc Experience deploying to cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM) Experience with enterprise AI platforms such as AWS AgentCore or Databricks AgentBricks or Google Agents Space, or Azure AI Foundry Experience with observability and monitoring tools and frameworks We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview We will reach out to selected candidates exclusively EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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Wyświetlenia: 1
Opublikowana3 miesiące temu
Wygasaza 14 dni
Rodzaj umowyB2B, PERMANENT
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