20 publicaciones de empleo destacadas en unlimited vacation club (¡Están contratando!)

Lead AI Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- ERP systems
- Inglés
- Plan de adquisición de acciones empresariales
Lead Data Quality Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Análisis de datos
- Inglés
- Plan de adquisición de acciones empresariales
14d
Data Delivery Manager
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Plan de adquisición de acciones empresariales
14d
Senior/Lead AI Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- ERP systems
- Inglés
- Plan de adquisición de acciones empresariales
Senior .NET Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Experiencia en bases de datos
- Plan de adquisición de acciones empresariales
Lead Data Analyst
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
- Plan de adquisición de acciones empresariales
Lead Data Software Engineer (Python, AWS, Databricks)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Python
- Plan de adquisición de acciones empresariales
Lead Data Software Engineer (Java+AWS)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Java
- SQL
- Plan de adquisición de acciones empresariales
Full Stack Development Lead
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Liderazgo
- Python
- Plan de adquisición de acciones empresariales
Lead Data Software Engineer (Python, Azure, Databricks)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Python
- Plan de adquisición de acciones empresariales
Data Consultant
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- Inglés
- Plan de adquisición de acciones empresariales
14d
Senior Python Full Stack Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Experiencia en bases de datos
- Plan de adquisición de acciones empresariales
Lead Data Software Engineer (Python+GCP)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- SQL
- Python
- Plan de adquisición de acciones empresariales
Lead Data Software Engineer (Java+GCP)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Java
- SQL
- Plan de adquisición de acciones empresariales
Java Tech Lead
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Java
- Plan de adquisición de acciones empresariales
Lead Data Software Engineer (Java+Azure)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Java
- Plan de adquisición de acciones empresariales
Senior Java Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Java
- Plan de adquisición de acciones empresariales
Senior Data Integration Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Informática
- Inglés
- Experiencia en bases de datos
- Plan de adquisición de acciones empresariales
.NET Tech Lead
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Experiencia en bases de datos
- Plan de adquisición de acciones empresariales
Senior BPM Engineer (Flowable)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Java
- Experiencia en bases de datos
- Plan de adquisición de acciones empresariales

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Lead AI Engineer

EPAM Systems, Inc. -
Desde casa

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Información del empleo

Beneficios

Plan de adquisición de acciones empresariales
Programa de tutoría a empleados

Cualificaciones

Modelos de inteligencia artificial
ASP.NET
Azure
Go
Derecho
C#
ERP systems
Inglés
Google Cloud Platform
Java
Desarrollo de aplicaciones
Experiencia en bases de datos
Algoritmos
JavaScript
Flask
Python

Descripción completa del empleo

We are seeking a Lead AI Engineer to design, build and scale cutting-edge AI applications powered by large language models. In this role, you will partner with clients to deliver tailored LLM-driven solutions, architect agentic systems and drive the adoption of emerging AI technologies across enterprise environments.

Responsibilities

Design, implement and maintain end-to-end AI applications, including chatbots, Q&A platforms, agent workflows and other LLM-driven solutions
Collaborate directly with clients to understand their needs, identify opportunities and recommend tailored AI/LLM solutions that drive business value
Architect and optimize robust data pipelines, prompt strategies and datasets to ensure effective, accurate and scalable AI models
Evaluate, monitor and refine AI system performance, ensure outputs are accurate, secure, scalable and compliant with industry regulations and best practices
Conduct research, design experiments and perform rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions
Stay current with evolving LLM technologies, frameworks, protocols (such as MCP, A2A, ACP) and methodologies, continuously improve solution quality and client outcomes
Design and implement agentic systems with frameworks such as LangChain, LangGraph and Semantic Kernel, integrate with vector databases and advanced memory architectures
Develop and maintain APIs and system integrations for production-grade AI applications, including enterprise system integration (CRM, ERP, databases)
Deploy AI solutions at scale, consider performance, cost-efficiency, maintainability, observability and security (including guardrails and prompt injection prevention)
Implement and monitor retrieval systems (keyword search, vector search, embeddings), ranking algorithms and agent evaluation frameworks
Use MLOps/AIOps practices for agentic systems and ensure robust observability and monitoring of deployed solutions
Clearly communicate complex technical concepts and AI strategies to both technical and non-technical stakeholders, iterate on models based on user feedback

Requirements

Strong proficiency in at least one modern programming language (such as Python, Java, C#, Go, etc.); experience with web frameworks like FastAPI or similar is a plus
Deep understanding of the AI application development lifecycle, including production deployment, system integration and rapid UI prototyping (Streamlit, Gradio or similar)
Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangChain, LangGraph, LlamaIndex, Strands Agents, etc.)
Knowledge of advanced AI integration patterns (e.g., RAG, agent orchestration, tool calling), retrieval systems (keyword/vector search, embeddings) and ranking algorithms
Experience to deploy AI solutions at scale, with a focus on performance, cost-efficiency, maintainability, observability and security (including guardrails and prompt injection prevention)
Proven ability to evaluate generative AI quality with retrieval/classification scores, LLM-based evaluation, agent evaluation metrics and A/B testing
Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS) and semantic/hybrid search
Experience to design experiments, conduct A/B tests and iterate on models based on user feedback
Experience with enterprise system integration (CRM, ERP, databases) and deployment to cloud AI platforms or on-premise solutions
Experience with observability and monitoring tools/frameworks, and application of MLOps/AIOps practices for agentic systems
Familiarity with emerging protocols (MCP, A2A, ACP) and advanced memory architectures
Proven experience in AI engineering and delivery of ML-based solutions in production environments
Strong problem-solving skills, attention to detail and ability to work independently and collaboratively
Excellent communication, collaboration and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders

Technologies

Proficiency in at least one modern programming language (e.g., Python, Java, C#, Go, etc.) for AI development
Web frameworks: FastAPI, Streamlit, Gradio, Flask, Spring Boot, ASP.NET or similar
Major LLM platforms and APIs: OpenAI, Anthropic, Amazon Bedrock, Gemini
Agentic frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex, Strands Agents
Data pipeline and integration tools
Vector databases: Qdrant, FAISS, Chroma, Pinecone, Weaviate, ChromaDB
Retrieval and ranking systems: keyword search, vector search, embeddings, ranking algorithms
Cloud AI platforms: Azure OpenAI, Amazon Bedrock, GCP Vertex AI
On-premise solutions: vLLM
Enterprise AI platforms: AWS AgentCore, Databricks AgentBricks, Google Agents Space, Azure AI Foundry
Observability and monitoring tools/frameworks
MLOps/AIOps practices for agentic systems
Security and guardrail tools for AI applications
Protocols: MCP, A2A, ACP
Advanced memory architectures

We offer

Career plan and real growth opportunities
Unlimited access to LinkedIn learning solutions
Constant training, mentoring, online corporate courses, eLearning and more
English classes with a certified teacher
Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
Flexible work schedule and dress code
Collaborate in a multicultural environment and share best practices from around the globe
Hired directly by EPAM & 100% under payroll
Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
13 % employee savings fund, capped to the law limit
Grocery coupons
30 days December bonus
Employee Stock Purchase Plan
12 vacations days
Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
Monthly non-taxable amount for the electricity and internet bills

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.

By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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Lead AI Engineer

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Lead Data Software Engineer (Python+GCP)

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