Slalom Flex (Project Based)- LLM Engineering Consultant
Slalom, LLC

Description and Requirements

Job Description

LLM Engineer

Location: Remote
Position Type: Full-Time, Project Based Consultant
Start Date: 7/6/2026

Duration: 6 months

About Us

Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at Slalom.com.

Overview

The LLM Engineer will join an existing development team to build and ship LLM-powered features in a complex, production application used at scale. This is a hands-on, full-stack role spanning backend services, APIs, and the LLM systems (retrieval, agents, evaluation) that power them. You are expected to work as an agentic engineer-using AI coding tools and autonomous agents to write code, automate workflows, and optimize how the team delivers. You will collaborate with global teams across multiple time zones and own features end to end.

What You'll Do

• Bring senior-level Python and LLM engineering expertise to the team.
• Execute both planning and hands-on technical work independently.
• Collaborate effectively with Product Owners and other stakeholders to solve complex problems.
• Work cross-functionally to deliver impactful solutions across teams.
• Continuously develop your technical expertise and stay current with new technologies.
• Bring curiosity and drive to expand your skills and knowledge.
• Use a data-driven approach to solve technical challenges and make informed decisions.
• Apply systems-level thinking that integrates data science and engineering principles.
• Take full ownership of the features and projects you work on, delivering high-quality solutions independently.

What You'll Bring

• Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes.
• Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI.
• Grounding in NLP and machine learning as they relate to building LLM systems
• Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic)
• Experience building, deploying, and securing MCP servers at scale.
• Understanding of multi-agent systems and their applications in complex problem-solving scenarios.
• Designing and implementing RAG systems end to end: vector databases, semantic search, retrieval quality, and chunking strategy.
• Experience with prompt writing for various use cases
• Experience with generative solutions released to prod, at scale, beyond POCs
• Proficiency with server-side events, event-driven architectures, and messaging systems.
• Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems, not just solving isolated problems.
• Solid understanding of security best practices for backend systems, including authentication and data protection.

Nice to Have

• Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems, not just solving isolated problems.
• Solid understanding of security best practices for backend systems, including authentication and data protection.
• Experience with LLM guardrails
• Experience with LLM Frameworks (e.g. LangChain, LlamaIndex)
• Experience with LLM monitoring and observability
• Experience developing AI/ML technologies within large and business critical applications
• Building evaluation into LLM systems: eval harnesses, regression suites, LLM-as-judge, and offline/online quality metrics.

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.

Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 85-110/hr. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration

for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.

Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the

selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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