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Few&Far

Few&Far

fewandfar.io

8 Jobs

18 Employees

About the Company

We're a top-rated recruitment company for product development teams with over 200 5* Google reviews.

With deep expertise across product, engineering, design and data, we offer agency, embedded, and talent strategy solutions.

Based in London, UK and covering EMEA and North America.

Listed Jobs

Company background Company brand
Company Name
Few&Far
Job Title
Platform Engineer
Job Description
Job Title: Platform Engineer Role Summary Design, build, and maintain a scalable cloud infrastructure that powers AI products, integrating AWS, GCP, Kubernetes, and Terraform to support software delivery. Expectations - Fully remote work with a focus on AI product infrastructure. - Contribute high‑impact solutions to a fast‑growing, high‑performance engineering team. - Collaborate closely with software engineers to ensure scalable, secure, and well‑observed systems. Key Responsibilities - Architect and implement infrastructure across AWS and GCP, ensuring high availability and cost efficiency. - Deploy and manage containerised services using Kubernetes; maintain IaC with Terraform. - Develop automation pipelines and continuous integration workflows with GitHub Actions. - Implement observability and monitoring solutions using Grafana and related tooling. - Apply foundational security and compliance principles; support SOC basics. - Partner with cross‑functional teams to deliver reliable, secure, and scalable solutions. Required Skills - Proven platform or DevOps engineering experience with a software development mindset. - Hands‑on proficiency with AWS, GCP, Kubernetes, Terraform, GitHub Actions. - Programming and scripting in Python and Bash. - Experience with monitoring/observability tools, particularly Grafana. - Collaborative, proactive attitude toward knowledge sharing and process improvement. Required Education & Certifications - Bachelor’s degree in Computer Science, Engineering, or equivalent technical field. - Relevant certifications (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect, Kubernetes Administrator) are advantageous but not mandatory.
London, United kingdom
On site
30-10-2025
Company background Company brand
Company Name
Few&Far
Job Title
Artificial Intelligence Engineer
Job Description
Job Title: Artificial Intelligence Engineer Role Summary: Lead hands-on development of scalable LLM-powered applications and integrations for defense, legal, health, infrastructure, and consulting industries. Translate client needs into production-ready AI solutions using frameworks like LangGraph, OpenAI AgentSDK, and FastAPI. Expactations: 5+ years as a software engineer building production LLM applications; API-level LLM experience (tool/function calling, prompt engineering); agent framework expertise; FastAPI API development; client-facing solution delivery; agile development experience. Key Responsibilities: - Develop Python-driven platform functionality, APIs, and integrations for diverse client use cases. - Design and implement LLM applications with open-source and online models (Llama, Qwen, Gemma, OpenAI, Gemini). - Build AI agents using tool-call frameworks (OpenAI AgentSDK, LangGraph) and enforce prompt engineering with guardrails. - Create testing and evaluation frameworks for LLM output quality, agent behavior, and prompt efficacy. - Apply retrieval systems (RAG, GraphRAG), knowledge graphs, vector databases, and data pipelines to enhance AI solutions. Required Skills: - Python proficiency for production-grade software development. - API design (FastAPI) and third-party integration expertise. - LLM deployment, evaluation, and optimization (prompt engineering, tool calling). - Strong analytical problem-solving for reusable AI architecture. - Leadership in technical mentorship, cross-team collaboration, and solution alignment with business goals. - Client communication to translate requirements into technical deliverables. Required Education & Certifications: Not specified.
England, United kingdom
On site
11-11-2025
Company background Company brand
Company Name
Few&Far
Job Title
(Remote) Platform Engineering Manager
Job Description
Job title: Remote Platform Engineering Manager Role Summary: Lead a cross‑functional engineering team to design, build, and operate a scalable, cost‑efficient, and highly reliable data platform for a rapidly growing SaaS organization. Expectations: • Deliver a long‑term platform roadmap that improves uptime, reduces cost, and integrates AI/LLM technologies. • Build and mentor a high‑performing team that keeps pace with aggressive business goals. • Collaborate closely with data leadership to align platform capabilities with analytics and product needs. Key Responsibilities: - Manage and mentor ~10 engineers across two core platform teams. - Own the platform engineering roadmap: infrastructure design, CI/CD, monitoring, incident response, capacity planning, cost optimisation, and reliability. - Partner with the Head of Data to set strategy for the enterprise data platform and its integration with product and analytics. - Prioritise and juggle multiple high‑volume requests and initiatives in a fast‑paced environment. - Drive adoption of best practices in DevOps, SRE, and platform‑centric development. - De‑risk technology decisions and ensure compliance with security and regulatory requirements. Required Skills: - Proven experience as an Engineering Manager in a growth‑stage or mature SaaS company. - Strong background in DevOps, SRE, or Platform Engineering (product engineering with infrastructure focus also acceptable). - Hands‑on expertise with cloud platforms (AWS preferred; GCP/Azure accepted). - Demonstrated ability to design, scale, and operate complex distributed systems. - Leadership skills to recruit, develop, and retain tech talent. - Knowledge of cost optimisation, reliability engineering, incident management, monitoring, and automation. - Familiarity with AI/LLM technologies and their operational challenges is a plus. - Excellent communication, stakeholder management, and project prioritisation skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - Relevant certifications (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect, or equivalent) are advantageous but not mandatory.
England, United kingdom
Remote
27-11-2025
Company background Company brand
Company Name
Few&Far
Job Title
AI Engineer
Job Description
**Job Title:** AI Engineer **Role Summary:** Lead AI Solutions Engineer responsible for extending and enhancing an AI Operating System that utilizes large language models (LLMs) to address industry‑specific challenges in defence, legal, health, infrastructure, and consulting sectors. Hands‑on role focused on rapid prototyping, production‑ready deployment, and client interaction to translate business needs into scalable AI applications. **Expectations:** - Minimum 5 years of commercial software engineering experience with production LLM‑powered solutions. - Proven API‑level LLM usage (tool/function calling, prompt engineering, evaluation). - Direct client‑facing experience for requirements gathering and delivery. - Ability to work independently within agile teams and provide technical mentorship. - Active Security Clearance (SC) required. **Key Responsibilities:** - Develop platform functionality in Python; design and build APIs (e.g., FastAPI) and integrations. - Create LLM‑driven applications and workflows using open‑source models (Llama, Qwen, Gemma) and commercial APIs (OpenAI, Gemini, etc.). - Build AI agents with tool/function calling, prompt engineering, and guardrails using frameworks such as OpenAI AgentSDK, LangGraph, or LlamaIndex. - Implement testing and evaluation pipelines for prompts, output quality, and agent behavior. - Apply retrieval‑augmented generation (RAG), knowledge graphs, vector databases, and data pipelines as needed. - Collaborate with clients to align solutions with business goals and industry constraints. **Required Skills:** - Strong Python programming (production‑grade) and experience with FastAPI or similar. - Deep knowledge of LLM integration, prompt engineering, and agent frameworks. - Experience with RAG, vector databases, and knowledge‑graph technologies. - Excellent communication and ability to convey technical concepts to diverse audiences. - Analytical problem‑solving, scalable design mindset, and leadership/mentorship capabilities. - Familiarity with agile development processes and secure coding practices for regulated data. **Required Education & Certifications:** - Not explicitly specified; typical requirement: Bachelor’s degree in Computer Science, Engineering, or related field. - Active SC (Security Check) Clearance.
England, United kingdom
On site
15-12-2025
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