Principal AI Engineer - Remote Work | REF#304078

BairesDev; Lima Metropolitana; A distancia; PEN 622.000 - 795.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD pay

Home office setup

Flexible hours

Parental leave

Paid holidays

Global team

Mentorship & growth

Descripción de la vacante

BairesDev is seeking a Principal AI Engineer to define the technical direction and architecture for an enterprise AI assistant used by thousands of employees. You will stay hands-on, architect orchestration, retrieval strategies, and evaluation, and mentor distributed teams to uphold technical judgment.

You will design multi-agent orchestration, end-to-end agent platform ownership, and oversee tool invocation and data routing.

Formación

• 8+ years of experience in Python and production-grade AI platforms.
• Proven ownership of an agentic or LLM platform end-to-end, from architecture through operation.
• Deep expertise in LangChain and LangGraph, including multi-agent orchestration, state, and tool/skill invocation.
• Strong LLM evaluation strategy experience, including LLM-as-judge, offline evals, and golden dataset design.
• Experience with RAG over structured and unstructured sources.
• Experience with React and TypeScript.
• Experience with agent-to-agent communication patterns (A2A) and service-to-service agent integration.
• Experience with model gateway and routing such as Bedrock or LiteLLM.
• Experience with LangSmith tracing and eval harness construction.
• Experience with streaming over WebSockets using LangGraph API or similar.
• Background with CI/CD and observability for AI services, including SLOs and eval regression gates.
• Experience with distributed systems, microservices, and REST/GraphQL on AWS.
• Advanced proficiency in English.

Responsabilidades

• Set technical direction and own architecture for an enterprise-scale agentic AI platform.
• Design multi-agent orchestration, including skill invocation and routing across specialized agents.
• Own retrieval strategy across structured and unstructured data sources.
• Build and evolve the evaluation harness used to validate AI system behavior.
• Mentor distributed engineering teams and guide technical hiring decisions.

Conocimientos

Python

LangChain

LangGraph

Multi-agent orchestration

LLM evaluation

RAG retrieval

React

TypeScript

AWS

CI/CD & Observability

Distributed systems

Herramientas

Bedrock

LiteLLM

LangSmith

Pinecone

FAISS

Qdrant

pgvector

WebSockets

Descripción del empleo

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting‑edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Principal AI Engineer at BairesDev

In this role, you'll set technical direction and own the architecture for an enterprise AI assistant serving thousands of employees, where a central orchestrator routes to specialized agents across multiple business functions. Staying hands‑on in code most of the time, you'll make the hard calls on orchestration design, retrieval strategy, and evaluation, defending your choices against alternatives rather than defaulting to whatever a framework suggests. This is your opportunity to shape how an enterprise‑scale agentic system is built from the ground up, while mentoring distributed teams and carrying technical judgment on future hires.

What You'll Do

• Set technical direction and own architecture for an enterprise‑scale agentic AI platform.
• Design multi‑agent orchestration, including skill invocation and routing across specialized agents.
• Own retrieval strategy across structured and unstructured data sources.
• Build and evolve the evaluation harness used to validate AI system behavior.
• Mentor distributed engineering teams and guide technical hiring decisions.

What We Are Looking For

• 8+ years of experience in Python.
• Proven experience owning an agentic or LLM platform end to end in production, from architecture through operation.
• Deep expertise in LangChain and LangGraph, including multi‑agent orchestration, state, and tool/skill invocation.
• Strong LLM evaluation strategy experience, including LLM‑as‑judge, offline evals, and golden dataset design.
• Experience with RAG over structured and unstructured sources.
• Experience with React and TypeScript.
• Experience with agent‑to‑agent communication patterns (A2A) and service‑to‑service agent integration.
• Experience with model gateway and routing such as Bedrock or LiteLLM.
• Experience with LangSmith tracing and eval harness construction.
• Experience with streaming over WebSockets using LangGraph API or similar.
• Background with CI/CD and observability for AI services, including SLOs and eval regression gates.
• Experience with distributed systems, microservices, and REST/GraphQL on AWS.
• Advanced proficiency in English.

Nice To Have

• Experience with MCP server and tool integration.
• Experience with vector database selection and tuning, including Pinecone, FAISS, Qdrant, or pgvector.
• Familiarity with graph analytics and generated data visualization.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!