Engagement Type : Independent Consultant (Project-Based)
Location : Remote
Company : Salyant Ltd (United Kingdom)
Role Context
Salyant designs and delivers applied AI and automation systems that integrate directly into real business operations. Our work focuses on architecting and implementing AI-enabled solutions that execute business workflows , rather than academic research or speculative experimentation.
We engage with a small, selective group of senior engineers and consultants who operate as technical owners , leading client initiatives from discovery and system design through to implementation and production rollout .
This role is intended for practitioners who value architectural authority, delivery ownership, and outcome-linked economics , and who prefer this mode of work over traditional employment structures.
What You Will Do
- Participate in client discovery and technical scoping discussions , translating business problems into well-defined technical approaches
- Design deterministic AI system architectures aligned to operational outcomes
- Architect and implement custom AI and automation solutions , including :
- LLM-centric pipelines and decision logic
- Retrieval-Augmented Generation (RAG) and document intelligence systems
- Agent-based or orchestration-driven components
- Integration-heavy solutions across SaaS platforms and internal systems
- Own end-to-end delivery : design → build → validation → production handover
- Make pragmatic trade-offs across cost, latency, reliability, scalability, and maintainability
- Deliver systems that are production-grade, robust, and operational , not prototypes
Skills & Capabilities
Core Technical Skills :
Applied AI & LLM Systems
Designing and integrating LLM-based systems for real business use casesPrompt engineering, structured outputs, tool / function callingRetrieval-Augmented Generation (RAG) using vector databases and enterprise dataAutomation & Orchestration :
Building automation pipelines using orchestration tools (e.g. n8n or equivalent)Event-driven systems, webhooks, and asynchronous workflowsDesigning fault-tolerant, observable automation flowsSystem Integration :
Strong experience with REST APIs, authentication (OAuth, tokens), and third-party SaaS integrationsData exchange across CRMs, ticketing systems, document systems, and internal toolsHandling edge cases, retries, idempotency, and failure recoveryArchitecture & Engineering :
End-to-end system design and architecture thinkingAbility to translate ambiguous business requirements into deterministic technical designsMaking pragmatic trade-offs across cost, latency, reliability, and scalabilityDesigning production-ready systems rather than prototypesEngineering Foundations :
Strong programming fundamentals (e.g. Python, JavaScript / TypeScript, or equivalent)Data handling, transformation, and validationVersion control (Git) and basic CI / CD familiarityWorking knowledge of cloud environments (AWS / GCP / Azure) at an integration levelConsulting & Delivery Skills :
Client-facing technical communication and discovery discussionsAbility to explain complex systems to non-technical stakeholdersComfort operating with full delivery ownershipScope discipline and ability to avoid over-engineeringWorking Model :
Engagements are project-based and scope-definedYou operate with full technical ownership for assigned workEngineers and consultants use their own development environment and compute resourcesSalyant provides infrastructure, APIs, GPUs, or cloud resources only where explicitly included in a client engagementCompensation
Compensation is aligned to delivery ownership and project scope , and is finalised per engagement once client requirements and commercials are confirmed.
Depending on the nature of the project, this may include :
Fixed milestone-based feesTime-boxed discovery or delivery sprintsIn select cases, an additional success-linked component where a consultant owns delivery end-to-endThis model is designed for senior practitioners who value autonomy, responsibility, and transparent economics over fixed roles.
Ideal Background (Indicative, Not Mandatory)
Strong academic foundation from IITs, IIMs, NITs, or other top-tier global institutions , or a minimum of 5+ years of relevant industry experience with demonstrated capability delivering complex AI, automation, or system-integration workProven experience building and deploying production-grade AI-enabled systems in real-world environmentsComfort operating at the intersection of technical depth, client interaction, and delivery ownershipPreference for high-bar, ownership-driven work rather than conventional employment structuresWho This Suits
Senior engineers or consultants who want to operate at the solution and architecture layer , not as delivery resourcesPractitioners comfortable leading delivery independently and being accountable for outcomesIndividuals who value impact, autonomy, and accountability over hierarchy and titlesFounder's Note
This is a selective, ownership-driven engagement model . We work with people who expect to be trusted with real responsibility and who are comfortable operating without rigid structures or constant oversight.