Senior/Lead AI Engineer

EPAM Systems; Argentina; Presencial; ARS 1.000.000 - 2.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Connectivity Bonus

Medicina Prepaga

Paternity Leave

Discounts card

English Training

Training Program

Marriage bonus

Referral Program

External Discounts

14 days vacation

Descripción de la vacante

EPAM Systems is seeking a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications including chatbots and LLM-driven solutions. You will work directly with clients, drive technical decisions, and deliver production-grade AI systems with business impact.

Responsibilities include designing AI/LLM at scale, architectural work with agentic frameworks, APIs, pipelines, and enterprise integrations, plus evaluating performance and ensuring security and cost efficiency.

Formación

• 5+ years in AI/ML engineering with production-grade delivery experience.
• Proficient 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.

Responsabilidades

• Design and deploy AI/LLM applications at scale (RAG, agentic systems, Q&A platforms).
• Architect solutions using agentic frameworks, integrating with vector databases and memory architectures.
• Build APIs, data pipelines, and enterprise integrations (CRM, ERP, cloud platforms).
• Evaluate AI performance using LLM-based evaluation, agent metrics, and A/B testing.
• Ensure performance, security, observability, and cost-efficiency across deployments.

Conocimientos

AI/ML engineering

Python

Java

Communication

Herramientas

OpenAI platforms

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Weaviate

Descripción 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.

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.

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.