{"id":1371476,"url":"https://alion.io/job/slr-consulting-ai-engineer","title":"AI Engineer","company":{"id":1799629,"name":"SLR Consulting","domain":"slrconsulting.com","url":"https://alion.io/company/slrconsulting","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":36,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Weaviate","optional":false},{"name":"Knowledge Graph","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-01T15:12:12Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"SLR is seeking an AI Development Engineer who enjoys building AI systems that operate reliably in the real world. This role sits at the intersection of AI engineering, software development, and infrastructure, focusing on designing and implementing production-grade systems powered by large language models (LLMs).\nYou will work hands-on across the full delivery lifecycle-moving quickly from concept to prototype to production. Working closely with product, engineering, and data teams, you will help deliver intelligent applications built on modern AI infrastructure.\nWe value practical builders over academic theory. Success in this role is defined by your ability to design, implement, deploy, and operate real systems that deliver business value.\nWhat You Will Build\nYou will design and implement systems across the AI stack, including:\nLLM-powered applications and intelligent agents \nModel orchestration and tool-use frameworks \nRetrieval systems and knowledge layers (RAG) \nMCP-style integration layers connecting models to tools, APIs, and data sources \nScalable infrastructure supporting AI workloads \nYour work will progress rapidly from prototype to production, with real users and real constraints.\nKey Responsibilities\nBuild AI Systems\nDesign and implement production-grade systems powered by LLMs and modern AI frameworks \nDevelop applications using technologies such as: \nOpenAI, Anthropic and other LLM APIs \nLLM gateway \nVector databases \nAgent orchestration frameworks \nImplement AI Infrastructure\nBuild and operate the infrastructure required to run reliable AI services, including: \nAPI services supporting AI applications \nOrchestration layers between models and tools \nRetrieval pipelines and knowledge indexing \nObservability and monitoring for AI systems \nScalable backend services \nDevelop MCP and Tool Integration Layers\nDesign integration layers that enable models to interact with external systems, including: \nAPI integrations \nTool-use systems for agents \nConnectors to databases, SaaS tools, or internal platforms \nStructured prompting and function-calling architectures \nShip Production Code\nMove quickly from concept to working product \nWrite clean, maintainable backend code \nBuild testable services \nDeploy systems in production environments \nIterate based on real user feedback \nCollaborate Across Teams\nWork closely with product managers, engineers, and designers to turn ideas into working solutions \nRequired Skills\nSoftware Engineering Foundations\nStrong backend engineering experience \nProficiency in Python (preferred) or TypeScript \nExperience building REST APIs and backend services \nSolid system design fundamentals \nDebugging and production troubleshooting skills \nUnderstand software development lifecycle \nLLM Application Development\nExperience building applications using large language models \nPrompt engineering and structured prompting \nTool use and function calling \nRetrieval-Augmented Generation (RAG) architectures \nLLM evaluation and iterative improvement \nInfrastructure and Deployment\nHands-on experience deploying production systems \nDocker and containerization \nCloud platforms (AWS, GCP, or Azure) \nCI/CD pipelines \nScalable service architecture \nData and Retrieval Systems\nExperience building and operating knowledge layers \nVector databases (e.g. Pinecone, Weaviate, pgvector) \nDocument ingestion pipelines \nEmbedding workflows \nSearch and retrieval optimization \nNice to Have Experience with:\nMCP architectures or tool-connected AI systems \nAgent frameworks \nKnowledge graph systems \nStreaming or event-driven systems \nDistributed systems design \nEvaluation frameworks for AI systems \nWhat we look for, we are looking for engineers who:\nPrefer building working systems over discussing them \nMove quickly while maintaining quality \nEnjoy solving messy, real-world problems \nTake ownership from prototype through to production \nStay curious about emerging AI capabilities \nYou do not need to know everything-but you should be comfortable learning quickly and shipping continuously.\nExperience\n2-5 years of experience in software engineering, AI engineering, or ML systems \nWe value evidence of building, including:\nShipped products \nReal systems running in production \nOpen-source contributions \nSide projects and experimentation \nDemonstrated delivery matters more than credentials.\nWhy Join SLR\nYou will help build real AI systems at a time when the AI stack is still rapidly evolving. This role offers:\nMeaningful ownership and autonomy \nReal engineering challenges \nThe opportunity to shape how intelligent software is designed, built, and deployed across SLR","description_format":"text","description_chars":4627,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Management Consulting"],"lifecycle":[{"event":"open","at":"2026-09-28T04:10:48Z"}],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.516,"p_room":0.75,"age_days":10,"expected_fill_days":13,"reasons":["conf:9","stale_co","velocity","win:late","comp:junior,brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/slr-consulting-ai-engineer","json_url":"https://alion.io/job/slr-consulting-ai-engineer.json","meta":{"generated_at":"2026-10-01T17:58:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":227,"day_limit":5000,"remaining_today":4773,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}