Applied AI Engineer

Applied AI Engineer - Monq

We are looking for brilliant engineers to join our team at Monq. We're pushing the boundaries of AI with next-generation agentic systems that can autonomously negotiate high-value enterprise contracts. We're focusing on a $4.2 trillion market of strategic procurement that has been largely untouched by AI innovation.

Our mission is to transform how enterprises negotiate their most critical deals, turning strategic procurement from a manual, gut-driven process into a competitive advantage powered by intelligent AI agents.

About the Role

As an Applied AI Engineer, you'll be working on the most cutting-edge component of our product - autonomous negotiation agents that handle $1M+ enterprise contracts. Here, you'll be working alongside the CTO to develop AI systems that can parse complex multi-dimensional deal terms, develop negotiation strategies in real-time, and optimize outcomes beyond just price. You'll ship production-grade AI solutions to Fortune 500 procurement teams, completely transforming how they approach their highest-stakes negotiations.

What You Will Do

Build Advanced Negotiation AI:

• Develop and deploy agentic LLM workflows that automate contract analysis, vendor research, and strategic negotiation planning
• Create AI agents specialized in key procurement areas: CapEx Equipment, Professional Services, Software & Technology, and Logistics & Supply Chain
• Build multi-dimensional optimization systems that consider price, terms, risk, timeline, and relationship factors

Lead Complex AI Projects:

• Architect end-to-end negotiation workflows: contract intelligence, strategic reasoning, human orchestration, and outcome optimization
• Develop robust multi-agent collaboration frameworks for high-stakes enterprise negotiations
• Build comprehensive LLM evaluation systems focusing on negotiation performance, safety, and behavioral consistency

Enterprise Integration & Deployment:

• Create sophisticated tooling to connect AI agents to major procurement systems (SAP, Oracle, Coupa, GEP)
• Build real-time negotiation dashboards and control systems for procurement professionals
• Develop enterprise-grade security, compliance, and audit capabilities for high-value contract negotiations

Strategic Collaboration:

• Work directly with Fortune 500 procurement executives to refine AI negotiation strategies
• Demo advanced negotiation prototypes and gather feedback on complex use cases
• Collaborate with domain experts to ensure AI agents understand nuanced procurement dynamics

Requirements

Essential Qualifications:

• 2+ years of professional software engineering experience - ideally in a start-up
• Strong expertise in Python with focus on AI/ML applications
• Proven experience deploying LLM systems to production with robust evaluation, guard-railing, and monitoring
• Master's or PhD degree in Machine Learning, Computer Science, or related quantitative field
• Deep understanding of transformer architectures and large language model capabilities

Preferred Experience:

• Previous research and publications in large language models, multi-agent systems, or AI negotiation
• Experience with enterprise B2B software development and integration
• Understanding of procurement processes, contract analysis, or business negotiations
• Experience building AI systems that require high reliability and explainability

Essential Skills:

• Ability to architect and build complex, production-ready AI systems from scratch
• Strong communication skills with both technical teams and business stakeholders
• Comfort whiteboarding AI system designs with enterprise customers
• Thrives in fast-paced, dynamic startup environments with high-stakes deliverables

Work Environment:

• Remote first with quarterly gatherings
• Direct collaboration with Fortune 500 procurement teams
• Annual team retreat - fully-funded off-site focused on AI innovation and team building

Career Growth:

• Visa sponsorship is available for exceptional candidates who complete our recruitment process
• Opportunity to define the future of AI-powered enterprise negotiations
• Direct mentorship from experienced AI researchers and enterprise software veterans

Others:

• No HR organisation
• Minimum 30 days of annual leave and a day off in the month of your birthday
• Flexible working hours as long as we get the things done
• Temporary work from abroad up to 120 days a year (certain limitations apply depending on your nationality/work authorisation status and tax obligations)

Our Interview Process

We run a focused interview process designed for senior AI talent:

Initial Screening (30 minutes) - we only have this stage if we need further clarifications and/or data points about your resume and application form:

• Discussion of your AI/ML background and interest in enterprise applications
• Overview of Monq's technical challenges in autonomous negotiation
• Alignment on career goals and role expectations

Online Assessment/Home Task (45 minutes):

• We are assessing your technical skills/capabilities along with your cultural fitness in this stage, and you complete this stage at a time that suits you

Problem Solving Interview (45 minutes):

• We assess your problem solving and systems thinking competency with a recent problem we have encountered and solved

Technical Design Interview (45 minutes):

• Real-world negotiation AI challenges from our product development
• System architecture whiteboarding exercise
• Discussion of multi-agent coordination and enterprise AI deployment

Bar Raiser Interview and On-site hang-out (half a day):

• Join in a discussion with one of our co-founders to discuss the most difficult problems you have solved or the biggest challenges you have faced
• Work directly with our team on current negotiation agent challenges
• Meet with procurement domain experts and customer stakeholders
• Experience our culture of rigorous AI development and enterprise focus