Salesforce Engineer, AI - Apps Integration (with Agentforce experience) IRC305181

Hitachi Vantara Corporation; Buenos Aires; Presencial; ARS 106.678.000 - 167.637.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Excellent Benefits

Descripción de la vacante

GlobalLogic, a Hitachi Group Company, is seeking an Engineer, AI to build production‑grade AI agents and solutions—leveraging LLM APIs, agentic workflows, and Retrieval-Augmented Generation (RAG)—to boost employee productivity and smarter decision making across business lines.

Working hands‑on with senior engineers and cross‑functional teams, you will implement scalable AI capabilities, deliver reference implementations, and contribute to design notes, test scripts, and documentation in a fast,

Formación

• Bachelor's degree in Computer Science, Engineering, or related field, plus 3+ years of related work experience; or advanced degree with 1 year; or equivalent combination of education and experience.
• Hands-on experience with prompt and context engineering, fine-tuning, and agentic workflows.
• Working knowledge of designing retrieval-augmented generation (RAG) pipelines.
• Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
• Experience developing APIs and integrating AI capabilities into enterprise applications.
• Experience working in agile development cycles to support rapid, effective delivery.
• Strong problem-solving skills and a drive to apply creative solutions in AI agent development.
• Clear communication skills for effective collaboration with FDEs and cross-functional teams.

Responsabilidades

• Build and deliver RAG pipelines, agentic workflows, and multi-model orchestration components for high-value use cases, following established patterns and reference implementations.
• Develop APIs, services, and integration components that connect AI capabilities to enterprise data and systems.
• Apply prompt engineering and evaluation techniques to optimize AI system performance, accuracy, and reliability.
• Partner with FDEs and senior engineers to turn prioritized opportunities into working, production-ready solutions.
• Monitor, test, and continuously improve AI systems for scalability, reliability, and measurable impact.
• Contribute to CI/CD workflows and engineering best practices for quality and maintainability.
• Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows.
• Build and maintain key artifacts, including design notes, test scripts, and documentation.

Conocimientos

Prompt engineering

RAG pipelines

Agentic workflows

LLM APIs

Vector databases

Agile development

Cross-functional collaboration

Educación

Bachelor's degree in CS/Engineering or related field

Herramientas

LangChain

LlamaIndex

APIs development

Cloud platforms (AWS/Azure/GCP)

Descripción del empleo

Description

Mobile Client

Requirements

What You'll Bring

• Bachelor's degree in Computer Science, Engineering, or related field, plus 3+ years of related work experience; or advanced degree with 1 year; or equivalent combination of education and experience.
• Hands-on experience with prompt and context engineering, fine-tuning, and agentic workflows.
• Working knowledge of designing retrieval-augmented generation (RAG) pipelines.
• Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
• Experience developing APIs and integrating AI capabilities into enterprise applications.
• Experience working in agile development cycles to support rapid, effective delivery.
• Strong problem-solving skills and a drive to apply creative solutions in AI agent development.
• Clear communication skills for effective collaboration with FDEs and cross-functional teams.

Must Have Skills

• 5+ Years hands-on experience building AI solutions using LLMs - prompt engineering, RAG, or agentic workflows.
• Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
• Salesforce, specifically deploying agents and agentic models within AgentForce
• Experience developing APIs and integration components.
• Experience with cloud platforms (AWS/Azure/GCP).

Nice-to-Have

• Experience with agent and tool-use frameworks, including connector patterns (e.g., MCP).
• Experience with LLM evaluation frameworks and AI observability.
• Familiarity with frontend technologies (e.g., React) for building end-user AI experiences.
• Experience with CI/CD practices and agile tools (JIRA, Confluence).
• Relevant AI/ML or cloud certifications.
• Experience working in a forward-deployed, consulting, or customer-facing engineering model.

Job responsibilities

About the Role

Client's Forward Deployed Engineer (FDE) build team turns the enterprise's highest-value AI opportunities into production reality, partnering with US-based FDEs to deliver solutions across lines of business. As an Engineer, AI, you will build and deliver production-grade AI agents and solutions - leveraging LLM APIs, agentic workflows, and Retrieval-Augmented Generation (RAG) - that drive employee productivity, process optimization, and smarter decision-making. Working hands-on within established patterns and reference implementations, and collaborating closely with senior engineers, FDEs, and cross-functional teams, you will ensure AI-driven solutions are effectively integrated into enterprise workflows.

We pride ourselves on encouraging a culture of innovation, agile ways of working, and transparency in all we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact!

What You'll Do

• Build and deliver RAG pipelines, agentic workflows, and multi-model orchestration components for high-value use cases, following established patterns and reference implementations.
• Develop APIs, services, and integration components that connect AI capabilities to enterprise data and systems.
• Apply prompt engineering and evaluation techniques to optimize AI system performance, accuracy, and reliability.
• Partner with FDEs and senior engineers to turn prioritized opportunities into working, production-ready solutions.
• Monitor, test, and continuously improve AI systems for scalability, reliability, and measurable impact.
• Contribute to CI/CD workflows and engineering best practices for quality and maintainability.
• Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows.
• Build and maintain key artifacts, including design notes, test scripts, and documentation.

What we offer

• Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
• Collaborative Environment:Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!
• Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.
• Professional Development:Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally
• Excellent Benefits:We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.