11 publicaciones de empleo destacadas en software engineer ii, agentic workflows (¡Están contratando!)

GenAI Engineer
EPAM Systems, Inc. —Desde casa
Software Engineer II - Python
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
Social & Content Specialist
Colgate-Palmolive —Buenos Aires, Buenos Aires
3d
Lead Python Developer with React
EPAM Systems, Inc. —Desde casa
Senior .NET Developer
EPAM Systems, Inc. —Desde casa
AI Product Chief Architect (OTE $100,000/year USD), Sparkrock
Ionic Partners —Desde casa
- Tiempo completo
4d
Senior Data Scientist
Proofpoint —Córdoba, Córdoba
- Tiempo completo
Senior Fullstack Developer (C#/.NET)
Marvik —Buenos Aires, Buenos Aires
8d
Senior Technical Sales Engineer (Cloud & DevOps)
Salesforce —Buenos Aires, Buenos Aires
- Tiempo completo
1d
Senior Engineer – Amazon Connect/ Telephony- Hyderabad or Buenos Aires or Belgrade (Hybrid)
サイネオス・ヘルス —Buenos Aires, Buenos Aires
Senior Python Backend Engineer, Financial Systems
BriteCore —Desde casa
- Por contrato
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GenAI Engineer
EPAM Systems, Inc. —Desde casa
Proficiency in prompt engineering, agentic workflows and orchestration patterns. Development of APIs, orchestration layers and microservices supporting agentic…
Software Engineer II - Python
JPMorganChase —Buenos Aires, Buenos Aires
Focus on innovation and quality of solutions should be demonstrated by their contributions in previous professional roles or projects (either academic or…

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GenAI Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Descripción completa del empleo

We are seeking a GenAI Engineer to lead the end-to-end development, deployment and operation of enterprise-grade AI-powered applications. The role combines backend engineering, LLM integration, cloud infrastructure and AI platform operations to deliver scalable GenAI solutions in production environments. You will work closely with AI/DS, Product and DevOps teams to build and scale AI-driven applications, ensuring reliability, observability, performance optimization and operational excellence across the full AI SDLC. The role also includes contributing to GenAI-assisted development practices, scaling enterprise AI SDLC processes, supporting AI Beauty Chat initiatives through agentic micro-pod delivery models and performing System Steward responsibilities across AI platform initiatives.

Responsibilities

Design, develop, deploy and maintain backend services for AI/LLM-powered applications
Own E2E delivery of GenAI features from implementation to production support
Integration and operation of LLM APIs (e.g. OpenAI) in enterprise production environments
Development of APIs, orchestration layers and microservices supporting agentic AI workflows
Optimization of LLM systems for latency, resiliency, retries, fallbacks and cost efficiency
Implementation of CI/CD pipelines, observability, monitoring and logging for AI services
Collaboration with AI/DS, Product, DevOps and platform teams to streamline delivery and improve reliability
Work with Azure cloud environments and distributed systems (Redis, Kafka, SQL/NoSQL)
Support for MCP integrations, agentic memory initiatives and AI orchestration frameworks
Drive GenAI-assisted development practices and scale AI SDLC processes
Contribution to AI Beauty Chat delivery through agentic micro-pod execution models
Execution of System Steward responsibilities in agentic micro-pods

Requirements

2+ years of Python backend engineering experience
Expertise in building and operating production-grade GenAI/LLM applications end-to-end
Hands-on experience with OpenAI or other LLM APIs in production
Proficiency in prompt engineering, agentic workflows and orchestration patterns
Capability to handle LLM operational challenges: latency, retries, fallbacks, observability and cost optimization
Strong understanding of scalable backend and distributed system architecture
Skills in CI/CD, DevOps workflows and Azure cloud environments
Background in applying GenAI across the SDLC (AI-assisted development, testing, deployment and delivery workflows)
Working knowledge of SQL/NoSQL databases, Redis and Kafka
Familiarity with Databricks and MCP
Excellent English communication skills (B2+ level)

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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software engineer ii, agentic workflows empleos

GenAI Engineer

Software Engineer II - Python

Social & Content Specialist

Lead Python Developer with React

Senior .NET Developer

AI Product Chief Architect (OTE $100,000/year USD), Sparkrock

Senior Data Scientist

Senior Fullstack Developer (C#/.NET)

Senior Technical Sales Engineer (Cloud & DevOps)

Senior Engineer – Amazon Connect/ Telephony- Hyderabad or Buenos Aires or Belgrade (Hybrid)

Senior Python Backend Engineer, Financial Systems

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