About this role
What You'll Do
Discover and scope with clients/ stakeholders
- Run discovery sessions with clients/ stakeholders to understand workflows, data, systems, and pain points.
- Identify where AI and automation can create measurable business value.
- Translate business needs into clear technical scope, solution designs, and delivery plans.
Build and deploy AI solutions
- Design and build AI-powered applications, agents, and automations using LLMs, RAG, and tool-calling workflows.
- Integrate solutions with systems such as ERP, CRM, data platforms, and internal APIs.
- Deliver fast prototypes and proofs of concept, then take the successful ones to production.
- Ensure solutions are secure, reliable, observable, and maintainable.
Own outcomes in the field
- Measure results after deployment and iterate based on real usage and feedback.
- Support pre-sales with technical demos, solution input, and effort estimates when needed.
Shape Gradion's AI capability
- Turn repeated patterns into reusable components, templates, and accelerators.
- Share field insights with delivery, product, and leadership teams.
- Stay current with AI models, frameworks, and tooling, and bring practical learnings to the team.
What We Are Looking For
Experience
- Professional software engineering experience, with solutions shipped to production.
- Hands-on experience building applications with LLMs (e.g., OpenAI, Anthropic, Gemini APIs) and related patterns such as RAG, agents, and tool calling.
- Experience in client-facing roles such as consulting, agency, solutions, or implementation work.
Technical skills
- Comfortable across backend and frontend.
- Solid with APIs, system integration, databases, and data pipelines.
- Working knowledge of at least one cloud platform (AWS, Azure, or GCP), plus Docker and CI/CD.
- Familiarity with AI frameworks and tooling (e.g., LangChain, LlamaIndex, vector databases, evaluation tools).
Skills and approach
- Explains technical concepts clearly to non-technical stakeholders.
- Product mindset: focuses on business outcomes, not just features.
- Comfortable with ambiguity: you scope the problem before you code it.
- Self-directed and accountable from discovery to delivery.
Language
- Good English proficiency (written and spoken).