16 publicaciones de empleo destacadas de engineer with python en desde casa (¡Están contratando!)

Senior/Lead AI Engineer
EPAM Systems, Inc. —Desde casa
Lead Data Engineer
EPAM Systems, Inc. —Desde casa
Principal Software Engineer - Identity & Access Management
Sezzle —Desde casa
Lead Data Quality Engineer
EPAM Systems, Inc. —Desde casa
Senior Python Developer (AI)
EPAM Systems, Inc. —Desde casa
Lead Security Engineer
EPAM Systems, Inc. —Desde casa
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12d
Senior Business Intelligence Engineer
Avicado —Desde casa
Staff Product Engineer
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Data Science Consultant
EPAM Systems, Inc. —Desde casa
Lead AI/ML Consultant
EPAM Systems, Inc. —Desde casa
5d
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EPAM Systems, Inc. —Desde casa
Lead DevOps
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FeverUp —Desde casa
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Data Engineer
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Senior/Lead AI Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Descripción completa del empleo

We are looking for a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications — including chatbots, agent workflows, and LLM-driven solutions. You will work directly with clients, drive technical decisions, and deliver production-grade AI systems that create real business impact.

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.

Responsibilities

Design and deploy AI/LLM applications at scale (RAG, agentic systems, Q&A platforms)
Architect solutions using agentic frameworks, integrating with vector databases and advanced memory architectures
Build APIs, data pipelines, and enterprise integrations (CRM, ERP, cloud platforms)
Evaluate and refine AI performance using LLM-based evaluation, agent metrics, and A/B testing
Ensure performance, security, observability, and cost-efficiency across deployed solutions
Conduct research, rapid prototyping, and experimentation to validate feasibility and business value
Stay current with emerging AI protocols (MCP, A2A, ACP) and evolving LLM technologies

Requirements

5+ years in AI/ML engineering with production-grade delivery experience
Strong Proficiency in at least one modern programming language and web frameworks (Python, Java, Scala)
Hands-on experience with major LLM platforms, agentic frameworks, and advanced integration patterns (RAG, agent orchestration, tool calling)
Experience with vector databases, semantic/hybrid search, and retrieval/ranking systems
Knowledge of MLOps/AIOps practices, monitoring, and security (including prompt injection prevention)
Strong communication skills — able to translate complex AI concepts for both technical and non-technical audiences
Ability to work independently, lead technical initiatives, and collaborate with cross-functional teams

Technologies

Languages: Python, Java, C#, Go
Web Frameworks: FastAPI, Streamlit, Gradio, Flask, Spring Boot, ASP.NET
LLM Platforms: OpenAI, Anthropic, Amazon Bedrock, Gemini
Agentic Frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex, Strands Agents
Vector Databases: Qdrant, FAISS, Chroma, Pinecone, Weaviate
Cloud AI Platforms: Azure OpenAI, Amazon Bedrock, GCP Vertex AI
Enterprise AI: AWS AgentCore, Databricks AgentBricks, Google Agents Space, Azure AI Foundry
On-Premise: vLLM
Protocols: MCP, A2A, ACP
MLOps/AIOps, observability, and security/guardrail tools for AI applications

We offer

Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).
Medicina Prepaga (It covers the collaborator and direct family group).
Paternity Leave (Two additional days are added to what is established by law, total of 4 days).
Discounts card.
English Training (English lessons, twice per week).
Training Program (Access to multiple customized training plans according to the needs of each role within the company).
Marriage bonus (The company doubles the allowance established by law that ANSES offers).
Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company).
External Agreements and Discounts.
Vacations: 14 calendar days a year

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.

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