Independent Consultant

About the job

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 cases • Prompt engineering, structured outputs, tool/function calling • Retrieval-Augmented Generation (RAG) using vector databases and enterprise data Automation & Orchestration: • Building automation pipelines using orchestration tools (e.g. n8n or equivalent) • Event-driven systems, webhooks, and asynchronous workflows • Designing fault-tolerant, observable automation flows System Integration: • Strong experience with REST APIs, authentication (OAuth, tokens), and third-party SaaS integrations • Data exchange across CRMs, ticketing systems, document systems, and internal tools • Handling edge cases, retries, idempotency, and failure recovery Architecture & Engineering: • End-to-end system design and architecture thinking • Ability to translate ambiguous business requirements into deterministic technical designs • Making pragmatic trade-offs across cost, latency, reliability, and scalability • Designing production-ready systems rather than prototypes Engineering Foundations: • Strong programming fundamentals (e.g. Python, JavaScript / TypeScript, or equivalent) • Data handling, transformation, and validation • Version control (Git) and basic CI / CD familiarity • Working knowledge of cloud environments (AWS / GCP / Azure) at an integration level Consulting & Delivery Skills: • Client-facing technical communication and discovery discussions • Ability to explain complex systems to non-technical stakeholders • Comfort operating with full delivery ownership • Scope discipline and ability to avoid over-engineering Working Model: • Engagements are project-based and scope-defined • You operate with full technical ownership for assigned work • Engineers and consultants use their own development environment and compute resources • Salyant provides infrastructure, APIs, GPUs, or cloud resources only where explicitly included in a client engagement Compensation Compensation is aligned to delivery ownership and project scope, and is finalized per engagement once client requirements and commercials are confirmed. Depending on the nature of the project, this may include: • Fixed milestone-based fees • Time-boxed discovery or delivery sprints • In select cases, an additional success-linked component where a consultant owns delivery end-to-end This 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 work • Proven experience building and deploying production-grade AI-enabled systems in real-world environments • Comfort operating at the intersection of technical depth, client interaction, and delivery ownership • Preference for high-bar, ownership-driven work rather than conventional employment structures Who This Suits • Senior engineers or consultants who want to operate at the solution and architecture layer, not as delivery resources • Practitioners comfortable leading delivery independently and being accountable for outcomes • Individuals who value impact, autonomy, and accountability over hierarchy and titles Founder'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.

Requirements

• AI System Architecture
• Automation
• Programming
• Client Communication

Preferred Technologies

• AI System Architecture
• Automation
• Programming
• Client Communication

About the company

Salyant Ltd engages in designing and delivering applied AI solutions that directly integrate into real business operations.