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Lead AI Engineer / Consultant (Custom AI & Automation)
Lead AI Engineer / Consultant (Custom AI & Automation)Salyant Ltd • Coimbatore, IN
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Lead AI Engineer / Consultant (Custom AI & Automation)

Lead AI Engineer / Consultant (Custom AI & Automation)

Salyant Ltd • Coimbatore, IN
6 days ago
Job description

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 finalised 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.

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    Lead Ai Engineer • Coimbatore, IN

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