{"id":3797447,"url":"https://alion.io/job/united-airlines-engineer-machine-learning","title":"Engineer - Machine Learning","company":{"id":18409,"name":"United Airlines","domain":"united.com","url":"https://alion.io/company/united","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":100,"open_postings":20,"ghost_share":0,"stale_share":0.15,"repost_share":0.1,"time_to_fill_p50_days":8,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Angular","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Grafana","optional":false},{"name":"LLM","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Platform Engineering","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-05T10:05:04Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T05:38:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.Come join us to create what’s next. Let’s define tomorrow, together.\nDescription\nUnited's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.\nJob overview and responsibilities\nWe are seeking a Generative AI Engineer to build and scale AI-native platforms and services. This role requires a strong full-stack engineering foundation combined with hands-on experience in Generative AI, cloud-native architectures, and MLOps.\nYou will contribute to the design and development of intelligent systems, AI agents, and reusable platforms, working across backend, frontend, and middleware layers. The ideal candidate brings both hands-on delivery capability and architectural awareness to build robust, scalable, and observable AI solutions.\nDesign, develop, and deploy AI-native applications and services leveraging Generative AI and LLMs\nBuild and maintain end-to-end solutions across backend (Python), middleware, and frontend layers\nDevelop scalable APIs and microservices to enable AI-driven capabilities across platforms\nImplement and operationalize LLM-based workflows, including prompt orchestration, RAG pipelines, and agent frameworks\nContribute to architecture design and system decomposition, ensuring scalability, resilience, and extensibility\nBuild and manage cloud-native solutions on AWS, leveraging services such as Lambda, ECS/EKS, S3, and API Gateway\nEstablish and maintain MLOps practices, including CI/CD pipelines, model deployment, versioning, and monitoring\nImplement observability and telemetry frameworks (logging, tracing, metrics) to ensure reliability and performance of AI systems\nCollaborate with cross-functional teams to translate business requirements into scalable technical solutions\nContinuously optimize performance, cost, and latency of AI workloads and services\nThis position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.\nQualifications\nWhat’s needed to succeed (Minimum Qualifications):\n3-5 years of experience in software engineering with strong hands-on development skills and exposure to system design\nProficiency in Python for backend development\nExperience with frontend frameworks (e.g., React, Angular, or equivalent)\nStrong understanding of API design, middleware, and microservices architecture\nHands-on experience with Generative AI technologies (LLMs, prompt engineering, RAG, vector databases)\nExperience working with AWS cloud infrastructure and building cloud-native applications\nFamiliarity with MLOps practices and tools for model lifecycle management\nWorking knowledge of observability and telemetry (e.g., OpenTelemetry, Prometheus, Grafana, CloudWatch)\nUnderstanding of data storage and retrieval systems (relational, NoSQL, and vector databases)\nWhat will help you propel from the pack (Preferred Qualifications):\nExperience building AI agents or autonomous systems\nExposure to platform engineering concepts such as control plane and application plane architectures\nFamiliarity with lightweight SDKs and developer enablement tools\nKnowledge of AI evaluation, governance, and responsible AI practices\nExperience optimizing LLM performance, scalability, and cost efficiency\nKey Competencies\nStrong problem-solving and analytical thinking\nAbility to operate across multiple layers of the technology stack\nBalance of execution excellence and architectural thinking\nEffective collaboration and communication skills\nContinuous learning mindset in a rapidly evolving AI ecosystem","description_format":"text","description_chars":4167,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Air Transport","Commercial Aviation"],"lifecycle":[{"event":"open","at":"2026-11-05T10:05:04Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.902,"p_room":1,"age_days":1,"expected_fill_days":8,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/united-airlines-engineer-machine-learning","json_url":"https://alion.io/job/united-airlines-engineer-machine-learning.json","meta":{"generated_at":"2026-11-07T08:53:04Z","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":6050,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":18409},"rest":"https://alion.io/mcp/rest/get_company?id=18409"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funited-airlines-engineer-machine-learning"},{"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%2Funited-airlines-engineer-machine-learning"},{"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%2Funited-airlines-engineer-machine-learning"},{"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/united-airlines-engineer-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funited-airlines-engineer-machine-learning"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3797447}},{"tool":"search_jobs","arguments":{"company":"united.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3797447},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}