Job 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 is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and adaptable, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products - and careers.

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📌 Salesforce Engineer, AI - Apps Integration (with Agentforce experience) (Buenos Aires)
🏢 Hitachi
📍 Buenos Aires