{"id":10568,"url":"https://alion.io/job/fuse-energy-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":3017,"name":"Fuse Energy","domain":"fuseenergy.com","url":"https://alion.io/company/fuse-energy","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":97,"open_postings":36,"ghost_share":0,"stale_share":0.139,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Dubai, United Arab Emirates"],"countries":["GB","AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"VLM","optional":false}],"status":"live","first_seen_at":"2026-06-27T00:00:00Z","employer_posted_date":"2026-06-27","last_verified_at":"2026-10-17T09:20:38Z","board_verified":true,"closed_at":null,"days_open":112,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":112},"description":"Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.\nWe've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.\nWe're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.\nWe're building a cutting-edge AI team. As an Applied AI Engineer, this role suits someone with the technical depth of a backend engineer who is specifically interested in applied AI and how it can improve the energy experience for our customers and our internal operations. You'll work on consumer features such as the Energy Co-Pilot and speedy onboarding (using VLM and LLM tools) and build AI tools that make teams across Fuse more productive.\nResponsibilities\nDesign, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)\nBuild and optimise internal AI tools that make the whole company more productive, with a focus on automation and enhancing workflows\nCollaborate with backend engineers and data scientists to integrate AI-driven features into our platforms\nCollaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing\nImprove AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts\nStay up to date with the latest advancements in applied AI and machine learning and apply them to real-world problems in the energy space\nMonitor the performance of AI tools and models, ensuring they run efficiently and effectively\nRequirements\nMinimum 3 years of engineering experience\nProven experience as a backend engineer with a strong interest and practical experience in applied AI or machine learning\nStrong programming skills in Python (or similar) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)\nExperience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production\nSolid understanding of cloud technologies, containerisation and building scalable AI applications\nAbility to integrate AI/ML models into real-world applications, focusing on usability and performance\nStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment\nExperience working with large datasets, particularly in relation to demand and supply forecasting\nBonus: experience or strong interest in energy markets and trading strategies; understanding of weather forecasting, energy demand patterns and production modelling; exposure to NLP or related fields\nBenefits\nCompetitive salary and eligibility for equity\nBiannual bonus scheme\nFully expensed tech to match your needs\nPrivate health insurance\nBreakfast and dinner allowance for office-based employees\nAs we hire globally, benefits may vary by location.","description_format":"text","description_chars":3521,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Solar Energy","Wind Energy"],"lifecycle":[{"event":"open","at":"2025-02-11T00:00:00Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.359,"p_room":0.28,"age_days":112,"expected_fill_days":42,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/fuse-energy-applied-ai-engineer","json_url":"https://alion.io/job/fuse-energy-applied-ai-engineer.json","meta":{"generated_at":"2026-10-17T12:19:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16357,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3017},"rest":"https://alion.io/mcp/rest/get_company?id=3017"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffuse-energy-applied-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffuse-energy-applied-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffuse-energy-applied-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fuse-energy-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffuse-energy-applied-ai-engineer"}]}