Forward Deployed Engineer (Software Engineer, AI Innovation)
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026. Gradion scores A on the Alion truth index.
About Us
At Gradion, we are the strategic partner for ambitious businesses, helping them achieve breakthrough growth through Digital Innovation and Deep Tech.
With a global vision and an AI-first approach, we enable clients to reshape strategies, optimize systems, and adopt cutting-edge technologies to create sustainable value.
From AI and data to cybersecurity, robotics, and large-scale enterprise platforms, Gradion designs practical solutions that lay the foundation for the next generation of billion-dollar companies.
Our Facts & Figures
- 23+ years of expertise - Gradion builds digital platforms & deep-tech solutions.
- 3 continents: Asia, Europe and Africa.
- 300+ specialists across 7 countries: Vietnam, Singapore, Thailand, Saudi Arabia, Germany, Egypt and Australia.
- 100+ enterprise clients, including several unicorns (e.g., Alaiko, HomeToGo, Roadsurfer).
- Vietnam's Best IT Company - recognized by ITViec for 8 consecutive years, including 2 consecutive years of ranking #1 (2024 and 2025).
- ISO 27001.
About the Role
Most companies know AI can change how they work. Far fewer know how to get it running inside their own systems, data, and processes. That gap is where this role operates.
As a Forward Deployed Engineer on our AI Innovation team, you work directly with clients/ stakeholders to turn real business problems into working AI solutions. You sit with their teams, understand how they operate, and build what they need: integrations, automations, AI agents, and production-ready applications on top of their existing platforms.
You write production code, and you also run discovery sessions, scope solutions, and explain technical trade-offs to business stakeholders. What you learn in the field feeds back into Gradion's reusable accelerators and solution offerings.
What You'll Do
- 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.
- 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.
- 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.
- 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.
Discover and scope with clients/ stakeholders
Build and deploy AI solutions
Own outcomes in the field
Shape Gradion's AI capability
What We Are Looking For
- 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.
- 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).
- 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.
- Good English proficiency (written and spoken).
Experience
Technical skills
Skills and approach
Language