8 publicaciones de empleo destacadas de java en desde casa (¡Están contratando!)

Lead Backend Developer (Python and AI)
EPAM Systems, Inc. —Desde casa
11h
Chief DSE Specialist
EPAM Systems, Inc. —Desde casa
11h
Lead DSE Specialist
EPAM Systems, Inc. —Desde casa
11h
Senior Backend Developer (Python and AI)
EPAM Systems, Inc. —Desde casa
11h
Senior DSE Specialist
EPAM Systems, Inc. —Desde casa
11h
Sr. AI Security Engineer
Backblaze —Desde casa
Sr. Developer Productivity Engineer
Backblaze —Desde casa
Senior Platform Engineer (Sales Cloud)
EPAM Systems, Inc. —Desde casa
11h

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Chief DSE Specialist
EPAM Systems, Inc. —Desde casa
This opportunity is ideal for a technically flexible professional who can comfortably transition among platform management, coding tasks, and architectural…
11h

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Lead Backend Developer (Python and AI)

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Hace 11 horas

Descripción completa del empleo

We are looking for a Lead Backend Developer with Python and AI expertise to drive the design and delivery of robust AI-powered API services and agentic workflows, while providing technical leadership across the team.

This role focuses on language model interaction with internal systems, vector databases, and external tools via orchestration frameworks, treating LLMs as components in a secure, scalable distributed system. You will define technical direction, own API contracts and service reliability end-to-end, ensure AI edge cases fail gracefully, and integrate LLMs using rigorous systems engineering with built-in evaluation, observability, fallback handling, and cost awareness. As a lead, you will also mentor engineers, shape architecture across pods, and champion engineering excellence.

Responsibilities

Lead the design and implementation of backend API services and LLM orchestration layers
Define and evolve reliable, reusable orchestration frameworks and logic for downstream developer consumption
Architect and oversee complex RAG pipelines, including document ingestion, chunking, embedding, and retrieval optimization
Drive the development and integration of agent tools using LangChain, LangGraph, and potentially MCP (Model Context Protocol)
Set the standard for integrating LLMs with rigorous systems engineering, embedding evaluation, observability, fallback handling, and cost awareness
Establish and enforce practices for security, privacy, enterprise-grade observability, and test coverage across all backend workflows
Own API contracts and service reliability end-to-end, ensuring AI edge cases fail gracefully
Lead architecture decisions and define engineering standards within and across pods
Mentor and coach backend engineers, conduct code reviews, and foster a culture of technical excellence
Collaborate closely with frontend engineers, data engineers, infrastructure teams, product managers, and stakeholders to align technical strategy with business goals

Requirements

Extensive backend engineering experience, with a proven track record in microservices and distributed systems
5+ years of experience in Python for high-performance backend services and cloud-native APIs
At least 1 year of relevant leadership experience
Deep expertise in AWS
Strong hands-on experience with Docker and ECS/EKS
Proven experience designing RESTful APIs and building production systems with LangChain
Solid knowledge of secure coding practices and strong auth/authz fundamentals
Demonstrated experience leading engineering teams, mentoring developers, and driving architectural decisions
Excellent written and verbal communication skills in English (B2+ level)

Nice to have

Production experience with AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent)
Practical experience with vector databases (Amazon Kendra, OpenSearch), embedding strategies, and retrieval systems
Familiarity with LlamaIndex, LangGraph, or agent interoperability patterns (MCP)
Background in AI evaluation tooling or real-time APM (LangSmith, Langfuse, Arize)
Experience with React and TypeScript
Deep understanding of identity/security domains (IAM, CIAM), plus experience deploying to EKS environments at scale
Flexibility to use secondary languages such as Java, Node.js, or Go
Experience influencing engineering strategy at the organizational 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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