CrawlJobs Logo
Broster Buchanan Logo Broster Buchanan · IT - Software Development

Ai Engineer Google Gemini

United Kingdom, Northamptonshire · Job Posted May 05, 2026
Apply Position
Job Link Share

Job Description

A PE-backed organisation based in Northamptonshire is seeking a Gemini-focused AI Developer to support the delivery of AI proof-of-concept initiatives. This role is ideal for mid-level developers with hands-on experience building solutions using Google AI / Gemini, who enjoy working closely with stakeholders in an on-site, collaborative environment. Due to the nature of the work, candidates must be willing to be on-site 2 days per week, Mondays and Tuesdays, in Northamptonshire, near Rugby and Daventry.

Job Responsibility

  • Design and deliver AI proofs of concept leveraging Google AI / Gemini
  • Build and integrate full-stack applications powered by Large Language Models (LLMs)
  • Develop systems that interact with Gemini APIs, alongside other LLMs such as ChatGPT and Claude
  • Implement AI-driven features, including prompt workflows, data processing, and system integrations
  • Develop AI automation for simple and repetitive tasks
  • Deploy and support AI solutions on Google Cloud infrastructure
  • Collaborate closely with on-site enterprise teams to rapidly prototype and iterate solutions

Requirements

  • Commercial experience as a Developer / Engineer / Programmer
  • Hands-on experience developing with Google AI / Gemini
  • Strong understanding of LLM integration patterns and API-based communication
  • Full-stack development experience (frontend and backend integration)
  • Experience working within cloud environments
  • Ability and willingness to work onsite in Northamptonshire, near Rugby and Daventry 2 days per week

Nice to have

  • Experience integrating multiple LLMs (Gemini, ChatGPT, Claude)
  • Previous work delivering AI proofs-of-concept or innovation projects
  • Enterprise or large-scale project experience
  • Exposure to Azure or multi-cloud environments
Broster Buchanan - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Ai Engineer Google Gemini

8 matching positions

New

Senior AI Engineer Vertex AI / Gemini

My client is looking for a Senior AI Engineer with proven experience delivering ...
Location
Location
Qatar , Doha
Salary
Salary:
Not provided
welovesalt.com Logo
Salt
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Vertex AI and Gemini Enterprise AI Platform
  • Delivered 2-3+ AI use cases to production using the Google AI stack
  • Experience building and deploying RAG (Retrieval-Augmented Generation) solutions
  • Multi-agent AI systems
  • Strong Python and cloud engineering skills
  • Experience with vector databases, embeddings, prompt engineering, and AI orchestration frameworks
  • Excellent English communication skills
Job Responsibility
Job Responsibility
  • Deliver production-grade AI solutions on Google Cloud Platform (GCP)
  • Build and deploy RAG solutions
  • Build and deploy multi-agent AI systems
  • Fulltime
Read More
Arrow Right

Google AI Gemini Developer

A large enterprise organisation based in Newcastle upon Tyne is seeking Gemini-f...
Location
Location
United Kingdom , Newcastle upon Tyne
Salary
Salary:
Not provided
brosterbuchanan.com Logo
Broster Buchanan
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Commercial experience as a Developer / Engineer / Programmer
  • Hands-on experience developing with Google AI / Gemini
  • Strong understanding of LLM integration patterns and API-based communication
  • Full-stack development experience (frontend and backend integration)
  • Experience working within cloud environments
  • Ability and willingness to work onsite in Newcastle, 3 days per week
  • Minimum of 5 years of continuous UK residency and full UK working rights (for BPSS clearance)
Job Responsibility
Job Responsibility
  • Design and deliver AI proofs of concept leveraging Google AI / Gemini
  • Build and integrate full-stack applications powered by Large Language Models (LLMs)
  • Develop systems that interact with Gemini APIs, alongside other LLMs such as ChatGPT and Claude
  • Implement AI-driven features, including prompt workflows, data processing, and system integrations
  • Develop AI automation for simple and repetitive tasks
  • Deploy and support AI solutions on Google Cloud infrastructure
  • Collaborate closely with on-site enterprise teams to rapidly prototype and iterate solutions
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer, Google Cloud, AI Expert

We are seeking a Forward Deployed Engineer (FDE) with deep expertise in Google C...
Location
Location
Canada , Montreal
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
  • 5+ years of software development experience using Python, TypeScript, or comparable languages, with a track record of shipping production-grade code to external or internal customers
  • Hands-on experience architecting and deploying AI systems on Google Cloud Platform (GCP), including: Vertex AI — model deployment, fine-tuning workflows, evaluation, and platform-level observability
  • Gemini models — prompt engineering, structured outputs, function/tool calling, and multimodal use cases
  • BigQuery and Cloud Storage — as data and grounding sources for AI workloads
  • Cloud Run, Cloud Functions, and Pub/Sub — for deploying and orchestrating agentic services
  • Gemini Enterprise Agent Platform — designing, configuring, and deploying enterprise-grade agents, grounding on customer data sources, integrating tools and connectors
  • Demonstrated experience building agentic and AI-driven solutions in production, including: LLM application development — prompt engineering, agent development, and evaluation frameworks
  • RAG architectures — vector databases, chunking strategy, and retrieval evaluation
  • Data pipelines — structured and unstructured data ingestion to power enterprise-grade AI solutions
Job Responsibility
Job Responsibility
  • Embed within customer engineering teams and lead technical discovery sessions with business stakeholders, engineering leadership, and security to translate ambiguous business problems into clear AI architectures and delivery plans
  • Architect, code, and ship production-grade agentic AI solutions on Google Cloud — including multi-agent systems, MCP servers, sub-agents, skills, connectors, agentic wrappers, and safety guardrails — that move customers beyond pilots into measurable business value
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines and grounding architectures, including chunking strategy, vector databases, and embedding optimization to prevent hallucinations and ensure response quality
  • Build the “connective tissue” between Google’s AI products and customer infrastructure, including APIs, legacy data silos, identity, and security perimeters
  • Implement multi-agent patterns such as ReAct, self-reflection, and hierarchical delegation using frameworks like Google’s Agent Development Kit (ADK) or LangGraph
  • Build high-performance evaluation pipelines and observability frameworks for agentic systems, with attention to accuracy, safety, latency, cost-per-request, and tokens-per-second
  • Debug agent logic and optimize tool selection in live, high-traffic environments, including tracing conversation and request IDs across microservices to resolve production failures
  • Co-build with customer engineering teams and act as a hands-on advocate for AI-assisted development, introducing and operationalizing AI coding tools to accelerate delivery and elevate engineering practices
  • Drive a deliberate handoff to the customer’s team, ensuring long-term ownership, documentation, and end-user adoption after the engagement concludes
  • Develop and maintain technical documentation, architecture decision records, and evaluation results across all assigned engagements
What we offer
What we offer
  • Comprehensive insurance plan (Gold, Silver, or Bronze) with employer contribution up to 80%
  • Dialogue via Sun Life virtual healthcare services
  • Employee and Family Assistance Program
  • Complete mental health support program
  • $500 Personal Spending Account
  • Retirement plan with Valtech matching 100% of RRSP contributions up to 4% via DPSP
  • Flexible vacation policy
  • Personal Technology Reimbursement $30/month
  • Winter holiday closure
  • Flexible scheduling
  • Fulltime
Read More
Arrow Right

Full Stack Engineer (AI & Agentic AI Systems)

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional wh...
Location
Location
India , Pune; Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2-5 years in an Apps Development role
  • Demonstrated execution capabilities
  • Strong analytical and quantitative skills
  • Data driven and results-oriented
  • Experience in running high traffic, distributed, cloud based services
  • Experience in affecting large culture change
  • Experience leading infrastructure programs
  • Skilled at working with third party service providers
  • Excellent written and oral communication skills
  • Bachelor’s/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments
  • Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions
  • Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures
  • Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, ADK, vector databases (A2A), RAG pipelines, MCP, context engineering, and advanced prompt engineering techniques
  • Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms
  • Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning
  • Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines
  • Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk
  • Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity
  • Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems
  • Fulltime
Read More
Arrow Right

Full Stack Engineer (AI & Agentic AI Systems)

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional wh...
Location
Location
India , Pune; Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in a product development/product management environment
  • Strong analytical and quantitative skills
  • Data driven and results-oriented
  • Experience delivering with an agile methodology
  • Experience in affecting large culture change
  • Experience leading infrastructure programs
  • Skilled at working with third party service providers
  • Excellent written and oral communication skills
  • Bachelor’s/University degree or equivalent experience
  • Strong expertise in SQL (Oracle, PostgreSQL)
Job Responsibility
Job Responsibility
  • Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments
  • Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions
  • Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures
  • Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, ADK, vector databases (A2A), RAG pipelines, MCP, context engineering, and advanced prompt engineering techniques
  • Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms
  • Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning
  • Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines
  • Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk
  • Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity
  • Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems
  • Fulltime
Read More
Arrow Right
New

Senior Fullstack Engineer - AI

LumApps is now more than just an Employee Experience Platform — it is an AI-powe...
Location
Location
France , Lyon; Paris; Sophia-Antipolis; Tassin-la-Demi-Lune; Bordeaux
Salary
Salary:
Not provided
lumapps.com Logo
LumApps
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional software engineering experience, with deep expertise in Python for backend services and solid command of TypeScript and React (v17+) on the frontend
  • Strong opinions on API design, service boundaries, component design, performance optimization, and maintainability at scale in a large monorepo
  • Comfortable building production microservices following Clean Architecture / SOLID principles — designing clear domain layers, working with relational databases (PostgreSQL, SQLAlchemy), event-driven patterns (Pub/Sub), and REST/OpenAPI contracts
  • Shipped and operated services in the cloud (GCP and/or Azure)
  • Hands-on experience or strong curiosity with agent interoperability protocols like the Model Context Protocol (MCP) and Agent-to-Agent (A2A), agent-to-UI streaming via the AG-UI protocol (SSE, WebSockets), and integrating with LLM providers such as Google Gemini and Mistral running on Vertex AI, using agentic frameworks like Google ADK or Strands Agents
  • Can design systems end-to-end
  • Thinks about functional correctness, technical scalability, and security implications simultaneously
  • Has contributed to or led significant architectural decisions in a production codebase
  • Proficient with backend unit/component/integration testing (pytest and equivalents) as well as frontend tooling (Jest, React Testing Library, Storybook, Playwright)
  • Speaks English fluently
Job Responsibility
Job Responsibility
  • Define and own the technical vision for the AI Agents tribe across the stack
  • Drive major architectural decisions — from agent communication protocols (MCP, A2A, AG-UI) and streaming patterns to data modeling, service boundaries, and state management — while tracking implications on adjacent systems and teams
  • Independently scope and implement complex end-to-end solutions, from API and data layer through to the user-facing experience
  • Identify and proactively tackle technical debt
  • Plan and execute projects that span multiple teams within the tribe
  • Partner with product and engineering leadership to translate roadmap goals into concrete technical strategies, providing reliable project estimates and owning delivery accountability
  • Define canonical patterns and lead-by-example on testing, performance, observability, and security
  • Conduct rigorous code reviews and challenge both specifications and implementations when needed
  • Mentor Software Engineers, providing actionable feedback on strategy, impact, execution, and technical depth
  • Share knowledge through engineering articles, internal presentations
What we offer
What we offer
  • Hybrid work model – 2 days at the office, 3 days remote
  • RTT days – ~10 extra days off per year
  • Meal vouchers (SWILE) + free snacks & coffee
  • Yoga classes in Paris office
  • Supportive parental leave and family moments
  • Health insurance (ALAN) – 60% covered + full life & disability cover
  • Afterworks, team celebrations & seasonal parties
  • Equipment of your choice
  • French & English lessons, professional development & access to Leeto CSE
  • Fulltime
Read More
Arrow Right

Lead Agentic Ai Engineer

Citi's Wholesale Technology organization is seeking an exceptional, hands-on Lea...
Location
Location
Canada , Mississauga
Salary
Salary:
120800.00 - 170800.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6–10 years of relevant experience in an AI/ML development role, Applications Development, or Systems Analysis, with a substantial and demonstrated focus on Python technologies
  • Minimum 2+ years of professional experience in software development with a focus on AI, prompt engineering, machine learning, and/or agentic AI systems
  • Proven track record as a lead developer for agentic flow design, prompt design, and testing of autonomous AI systems with deep expertise in Google ADK
  • Subject Matter Expert (SME) in at least one area of Applications Development, particularly Python application development (Django, Flask, FastAPI)
  • Python (expert-level): FastAPI, Django, Flask, asyncio, PySpark — strong fundamentals in algorithms, data structures, concurrency, and design patterns
  • Proficient in Java (Spring Boot, Spring Cloud), JavaScript/TypeScript (React, Next.js, Node.js), and SQL/data modeling
  • Experience across AWS, Azure, and GCP with Docker, Kubernetes, and CI/CD pipelines
  • Proficient in MLOps practices including model versioning, deployment, and lifecycle management
  • Strong foundation in secure API design, microservices, event-driven architecture, and distributed systems with expertise in testing, Git workflows, and performance optimization
  • Deep expertise in LLMs (OpenAI GPT, Gemini, Claude, Llama) with hands-on experience in LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, and Google ADK
Job Responsibility
Job Responsibility
  • Lead end-to-end design, development, and deployment of large-scale agentic AI solutions using Google Agent Development Kit (ADK) and frameworks such as LangChain, LangGraph
  • Architect advanced multi-agent systems (perception, reasoning, planning, execution) integrating multiple LLM providers (OpenAI, Anthropic, Google Gemini)
  • Build AI-powered capabilities using Google Gemini, Vertex AI, Agent Development Kit (ADK), Google A2UI, vector databases, RAG pipelines, semantic search, and advanced prompt and context management
  • Engineer autonomous agents incorporating planning, tool usage, memory management, and multi-step reasoning patterns
  • Develop scalable, high-performance backend services in Python (FastAPI, asyncio) with resilient APIs, event-driven designs, and microservices architectures
  • Build and maintain robust data pipelines working with SQL (Oracle, PostgreSQL) and NoSQL (MongoDB) databases
  • Implement secure REST APIs and agent interfaces with strong authentication, authorization (OAuth), and encryption best practices
  • Optimize AI agent performance, latency, and cost through prompt optimization, caching strategies, and vector index tuning
  • Provide architectural guidance for Next-Generation AI (NGAI) initiatives, ensuring adherence to CTO guidelines and platform standards
  • Develop and maintain a strategic roadmap for generative AI adoption, evaluating new models, techniques, and platforms
  • Fulltime
Read More
Arrow Right

Ai Engineer

JOB DESCRIPTION Join in developing and applying the ML/DL techniques to resolve ...
Location
Location
Vietnam , Ho Chi Minh
Salary
Salary:
Not provided
saigontechnology.com Logo
Saigon Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 3 years of experience working with AI/ML projects as a Data Engineer, Research Engineer, or Software Engineer.
  • Have programming skills in one of these languages: Python, Java...
  • Have experience with one of ML/DL Frameworks: Tensorflow, Pytorch, Keras, scikit-learn, Pandas, Langchain, LlamaIndex…
  • Have experience working with OpenAI, Gemini, any LLM... to build agents, workflows, or RAG systems.
  • Have experience with one of chatbot building frameworks or services like Rasa, Dialogflow, Transformer, BERT, LLM/Prompt…
  • Familiar with OCR algorithms or services: OpenCV, Tesseract, Textract (AWS), Google Cloud Vision, PaddleOCR.
  • Experience with common development tools: Linux, GPU server, Google Colab, Jupyter, Git, Docker.
  • Good English proficiency and communication skills.
Job Responsibility
Job Responsibility
  • Join in developing and applying the ML/DL techniques to resolve our client’s business problems such as building chatbot systems, LLM/Prompt, OCR systems, fraud detection systems, facial recognition systems…
  • Join in developing some internal products applying AI models
What we offer
What we offer
  • Competitive Salary and Brilliant Health Benefits
  • Attractive salary (13th-month salary, salary review twice/year) and project bonus
  • Bonus programs for candidate referral, technical article writing
  • Allowance for sickness, maternity, paternity and periodic health examination
  • PVI health care program
  • The staff of the quarter and year reward
  • Progressive and Fun Working Environment
  • A professional English-speaking working environment with Agile – Scrum model
  • Hybrid Working Model: Flexible working time and WFH support.
  • Surrounded with friendly, open-minded, young and supportive colleagues
  • Fulltime
Read More
Arrow Right