At a Glance
- Tasks: Bridge AI tech and business challenges by building and deploying innovative solutions.
- Company: 167 Solutions, a forward-thinking tech company focused on AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for rapid career growth.
- Other info: Join a team that values innovation and customer success in a fast-paced setting.
- Why this job: Make a real impact with cutting-edge AI technology while collaborating with customers.
- Qualifications: 3+ years in software engineering, especially with TypeScript and AWS.
The predicted salary is between 50000 - 70000 £ per year.
167 Solutions are looking for a highly technical, customer-focused Forward Deployment Engineer to bridge the gap between cutting-edge AI technology and real-world business challenges. You'll work directly with customers to rapidly prototype, build, and deploy AI-powered solutions that create measurable business value.
This is a hands-on role for someone who enjoys solving complex problems, working across engineering and customer teams, and turning ambitious ideas into production-ready applications.
What You'll Do
- Partner directly with customers to understand business challenges and translate them into technical solutions.
- Design, build, and deploy Generative AI applications tailored to customer needs.
- Rapidly prototype AI-powered products and iterate based on customer feedback.
- Develop scalable backend services and APIs using TypeScript.
- Architect and deploy cloud-native applications on AWS.
- Integrate Large Language Models (LLMs), vector databases, and modern AI frameworks into production systems.
- Build secure, reliable, and performant data pipelines to power AI applications.
- Collaborate with product managers, engineers, and stakeholders throughout the deployment lifecycle.
- Optimize AI solutions for performance, reliability, and cost.
- Help establish best practices for AI engineering, deployment, and customer success.
What We're Looking For
Required Skills:
- Strong software engineering experience with TypeScript.
- Experience building and deploying applications on AWS.
- Hands-on experience developing Generative AI applications using modern LLMs.
- Strong understanding of AI application architecture, APIs, and distributed systems.
- Experience working with structured and unstructured data.
- Ability to rapidly prototype solutions and iterate in fast-moving customer environments.
- Excellent problem-solving and debugging skills.
- Strong communication skills with the ability to work directly with technical and non-technical stakeholders.
- Comfortable working in ambiguous environments and owning projects from concept to deployment.
Nice to Have
- Experience with Retrieval-Augmented Generation (RAG).
- Knowledge of vector databases and semantic search.
- Experience with Python alongside TypeScript.
- Familiarity with AI orchestration frameworks such as LangChain, LangGraph, or similar.
- Experience with CI/CD pipelines, Infrastructure as Code, and containerization.
- Knowledge of modern frontend frameworks such as React or Next.js.
- Experience working with enterprise customers.
Technologies You'll Work With
- Generative AI
- Artificial Intelligence (AI)
- AWS
- TypeScript
- Large Language Models (LLMs)
- Rapid Prototyping
- APIs
- Data Engineering
- Vector Databases
- RAG
- React / Next.js
- Node.js
- Git
- Docker
What Success Looks Like
- Deliver AI solutions that solve real customer problems.
- Build production-ready applications in weeks, not months.
- Become a trusted technical advisor for customer engagements.
- Drive innovation through rapid experimentation and iterative development.
- Help shape the future of enterprise AI deployments.
Ideal Candidate
You're an engineer who thrives at the intersection of software engineering, customer engagement, and AI innovation. You enjoy moving quickly, building practical solutions, and deploying modern AI applications that have immediate business impact.
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