{"id":69397,"url":"https://alion.io/job/altera-ai-engineer-cloud-software-ai-platforms-contract","title":"AI Engineer – Cloud Software & AI Platforms - Contract","company":{"id":5328,"name":"Altera","domain":"altera.com","url":"https://alion.io/company/altera","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":15,"ghost_share":0,"stale_share":0.2,"repost_share":0.067,"time_to_fill_p50_days":71,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":118900,"max":172200,"currency":"USD","period":"year","gross":null,"usd_annual":172200},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"A/B Testing","optional":true},{"name":"Docker","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-11T23:05:27Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":51},"description":"Job Details:\nJob Description:\nAI Engineer - Cloud Software & AI Platforms- Contract\nTeam: Cloud Software Engineering - Quartus AI, Altera\nAbout the Role\nWe are seeking a highly motivated AI Engineer to join our Cloud Software Engineering team. In this role, you will help design, develop, and optimize AI-powered applications and intelligent services that improve developer productivity, knowledge discovery, and engineering workflows. You will work across machine learning, large language models (LLMs), search technologies, data pipelines, and cloud-native platforms to deliver scalable AI solutions for internal and external users.\nThis is an opportunity to work at the intersection of AI, cloud computing, and software engineering, collaborating with cross-functional teams to build next-generation intelligent systems.\nKey Responsibilities\nDesign and develop AI and machine learning solutions that leverage modern LLMs, retrieval systems, and agent-based architectures.\n\nDesign, build, and optimize agentic AI workflows that coordinate LLMs, tools, enterprise data sources, APIs, and multi-step reasoning to automate complex engineering and knowledge-discovery tasks.\n\nBuild and optimize data processing, indexing, and retrieval pipelines to enable intelligent search and knowledge discovery.\n\nDevelop evaluation frameworks, benchmarks, and monitoring solutions to measure system quality, accuracy, and user impact.\n\nExperiment with model selection, prompt engineering, retrieval strategies, ranking approaches, and fine-tuning techniques.\n\nAnalyze system performance, identify gaps, and drive continuous improvements using data-driven methodologies.\n\nCollaborate with software engineers, product teams, and domain experts to translate business requirements into scalable AI solutions.\n\nDevelop and maintain cloud-native services and APIs supporting AI applications.\n\nContribute to architecture, design reviews, and engineering best practices across the AI platform.\n\nStay current with advancements in generative AI, machine learning, and information retrieval technologies.\n\nThe pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.\n$118.9K - $172.2K USD\nWe use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.\nQualifications:\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.\n\n3+ years of industry experience in software engineering, machine learning, data science, or related disciplines.\n\nStrong programming skills in Python, typescript, and familiarity with modern software development practices.\n\nExperience working with machine learning, generative AI, large language models, or information retrieval systems.\n\nUnderstanding of vector databases, search technologies, embeddings, or retrieval-augmented generation (RAG) concepts.\n\nExperience developing scalable services on public cloud platforms such as Azure, AWS, or Google Cloud.\n\nFamiliarity with REST APIs, distributed systems, and cloud-native architectures.\n\nStrong analytical, troubleshooting, and problem-solving skills.\n\nExcellent communication and collaboration abilities.\n\nPreferred Qualifications\nExperience with LLM orchestration frameworks and agentic AI systems.\n\nFamiliarity with Azure AI Search, Azure OpenAI, or comparable AI services.\n\nExperience with evaluation frameworks, experimentation, and A/B testing methodologies.\n\nKnowledge of containerization and orchestration technologies such as Docker and Kubernetes.\n\nExperience with knowledge graphs, semantic search, or recommendation systems.\n\nExposure to MLOps, model deployment, and production AI systems.\n\nExperience working in developer tools, enterprise software, or technical documentation environments.\n\nJob Type:\nContract Employee (Fixed Term)Shift:\nShift 1 (United States of America)Primary Location:\nSan Jose, California, United StatesAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, 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