{"id":2464578,"url":"https://alion.io/job/deploy-alloy-ml-search-engineer","title":"ML Search Engineer","company":{"id":4423417,"name":"DEPLOY 2151 Highland Avenue","domain":"deployalloy.com","url":"https://alion.io/company/deployalloy","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Birmingham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":219000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1124},"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Algolia","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Figma","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gatsby","optional":false},{"name":"GCP","optional":false},{"name":"Google ADK","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"Next.js","optional":false},{"name":"OpenSearch","optional":false},{"name":"OpenTofu","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Remix","optional":false},{"name":"Reranking","optional":false},{"name":"Terraform","optional":false},{"name":"Vite","optional":false},{"name":"Weaviate","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-13T18:13:30Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T11:18:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"DEPLOY has been retained by a leading industrial parts distributor for an on site role in Birmingham, Alabama. We are looking for an ML S earch Engineer (Software Engineer III)\nYou must be eligible to work in the US without Visa Sponsorship.\nABOUT THE ROLE\nWe're building intelligent product search that understands intent, learns from behavior, and gets smarter over time. As a Senior Full Stack Engineer on the ML/AI Search team, you'll design and build both the frontend and backend systems that power product discovery for millions of industrial buyers-from scalable retrieval pipelines, APIs, and Frontend interfaces that make AI accessible.\nThis isn't a research role. You'll own the full lifecycle: prototyping ideas, shipping production-grade services on GCP, and iterating based on real user data. Strong Python and React engineering is the foundation-if you also bring experience in search systems, vector databases, or Elasticsearch, you'll hit the ground running from day one.\nWHAT YOU'LL DO\nBuild & Ship Search and AI-Powered Systems\nDesign, develop, and deploy production Python services end-to-end-from retrieval and ranking pipelines through client-facing APIs. \nBuild and integrate ML inference pipelines: embedding models, transformer-based classifiers, LLM-powered query understanding, and reranking services. \nDevelop event-driven, real-time architectures using GCP services-Cloud Run, Pub/Sub, GKE, Cloud Functions. \nWrite clean, well-tested, observable Python backends; own your services through deployment, monitoring, and on-call \nDrive frontend architecture decisions, establishing development standards, and creating reusable component libraries. \nContribute to Search Infrastructure\nWork alongside the Search Architect and ML Architect to implement hybrid retrieval systems combining keyword search, dense vector similarity, and reranking. \nBuild and maintain Elasticsearch indexing pipelines, query services, and relevance tuning tooling. \nIntegrate vector databases (Pinecone, Weaviate, FAISS or similar) into retrieval workflows-even if this is new territory, you'll learn fast. \nInstrument search pipelines with meaningful metrics: CTR, zero-result rate, latency-feeding the team's A/B experimentation loop. \nBuild clean, responsive, and production-ready interfaces from wireframes or Figma designs. \nOwn the Engineering Bar\nChampion CI/CD, observability, testing, and infrastructure-as-code as non-negotiables, not afterthoughts. \nLead design sessions with Engineers and Architects; translate product requirements into clean, maintainable technical solutions. \nParticipate in code reviews and knowledge-sharing-actively raising the team's collective skill level. \nWHAT YOU BRING\nMust-Haves\n Strong Python and React foundation: 6+ years of professional backend or full-stack engineering experience with a deep Python/React (e.g., Next.js, Vite.js, Remix.js, Gatsby.js) focus-async patterns, type annotations, testing, and production-grade service/component design. \n Cloud-native experience: Proven experience designing and deploying cloud-native applications ( \nGCP strongly preferred; AWS or Azure considered).\nHands-on experience building resilient high throughput microservices and RESTful/gRPC APIs. \nSolid understanding of containerization (Docker), orchestration (Kubernetes), and serverless paradigms. \nStrong grounding in SOLID design principles and software craftsmanship. \nGood communicator who thrives in cross-functional, agile teams alongside ML engineers, architects, and product owners. \nComfort using AI tools to accelerate development throughput. \nStrong experience of using and managing Monorepos \nStrong understanding of relational (e.g., PostgreSQL, MySQL, Oracle) and non-relational databases (e.g., MongoDB, DynamoDB). \nMentorship: Provide guidance and technical knowledge sharing to mid-level and junior developers. \nStrongly Preferred - Search & ML\nYou don't need all of these on day one-but the more you bring, the faster you'll contribute:\nSearch systems: Experience with search platforms: \nElasticsearch, OpenSearch, Solr, or Algolia-index management, query DSL, relevance tuning.\n Vector search: Familiarity with vector search concepts and tooling: \nembeddings, approximate nearest neighbor (ANN), FAISS, Pinecone, Weaviate, or similar.\nExposure to ML/AI patterns: RAG pipelines, LLM integration, prompt engineering, or fine-tuning workflows. \nExperience with AI orchestration frameworks such as LangChain, LangGraph, or Google ADK. \nInfrastructure-as-code experience (Terraform, Pulumi, OpenTofu) and mature CI/CD pipeline ownership.\nWHO YOU ARE\nFearless Builder\nA working proof-of-concept beats a thousand slide decks. Speed and quality are both non-negotiable.\nRelentless Learner\nYou pick up new technologies fast and have a genuine eagerness to master whatever comes next.\nArchitecture-Minded\nYou design scalable, fault-tolerant services as second nature and aren't afraid to challenge the status quo.\nOwnership-Driven\nCode isn't done until it's tested, documented, and monitored. Your name on a release means something.\nSearch-Curious\nYou may not have built a search system yet-but you're excited by the challenge and ready to go deep.\nTeam Multiplier\nYou give and welcome candid feedback and actively make the people around you better.","description_format":"text","description_chars":5301,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T18:13:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["conf:4","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/deploy-alloy-ml-search-engineer","json_url":"https://alion.io/job/deploy-alloy-ml-search-engineer.json","meta":{"generated_at":"2026-10-14T12:06:47Z","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":14690,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":4423417},"rest":"https://alion.io/mcp/rest/get_company?id=4423417"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeploy-alloy-ml-search-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%2Fdeploy-alloy-ml-search-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%2Fdeploy-alloy-ml-search-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/deploy-alloy-ml-search-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeploy-alloy-ml-search-engineer"}]}