{"id":1464203,"url":"https://alion.io/job/enterprise-hub-inc-ai-engineer","title":"AI Engineer","company":{"id":1914689,"name":"Entertainment Partners","domain":"ep.com","url":"https://alion.io/company/ep-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tempe, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Ollama","optional":false},{"name":"ONNX","optional":false},{"name":"OpenAI","optional":false},{"name":"PEFT","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tabnine","optional":false},{"name":"Tool Use","optional":false},{"name":"Torchvision","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false},{"name":"Weaviate","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Computer Vision","optional":true},{"name":"JAX","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Kubeflow","optional":true},{"name":"Model Distillation","optional":true},{"name":"OpenCV","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Ray","optional":true},{"name":"Ray Serve","optional":true},{"name":"TensorFlow","optional":true},{"name":"TorchServe","optional":true},{"name":"Triton Inference Server","optional":true}],"status":"live","first_seen_at":"2026-07-14T00:21:28Z","employer_posted_date":"2026-07-14","last_verified_at":"2026-10-16T02:44:24Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":94},"description":"At Entertainment Partners and Central Casting, we are committed to creating an environment where every employee is seen, where ideas, thoughts and perspectives are shared openly, and where fearless innovation is encouraged. Weaving diversity, equity, and inclusion into who we are will drive our competitiveness by encouraging creativity and enhanced decision making.\nWe help to power Oscar-winning films, Emmy-winning shows, and Clio-winning commercials. Feel the satisfaction of doing work that directly impacts the most exciting industry in the world. EP is poised to redefine and evolve the back-office processes of the entertainment community with security at the core of what we do.\nAre you looking for the next opportunity to revolutionize an industry? If so.…\nEntertainment Partners (EP) is seeking a Senior Software Engineer specializing in AI and Machine Learning to join our AI Services organization. This role sits at the intersection of applied ML engineering, LLM product development, and production-grade system design. The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and agentic systems that power EP's intelligent product suite - including Rosey Intelligence, Project Florence, and EP Answers. The ideal candidate brings deep hands-on expertise in PyTorch, transformer architectures, and the full ML lifecycle, combined with the software engineering discipline required to ship reliable AI products at scale in a production entertainment technology environment.\nKEY RESPONSIBILITIES\nIn addition to the following, other duties may be assigned to meet business needs.\nAI / ML Engineering\nDesign, develop, train, fine-tune, and evaluate machine learning models using PyTorch and associated ecosystem libraries (torchvision, torchaudio, torch.nn, torch.optim).\nBuild and maintain ML training pipelines, experiment tracking workflows, and model evaluation frameworks.\nImplement transformer-based models and large language model (LLM) integrations for production use cases including NLP, information extraction, classification, and generation.\nApply parameter-efficient fine-tuning techniques (LoRA, QLoRA, PEFT) to adapt foundation models for EP-specific domains (payroll, residuals, production management).\nDesign and implement RAG (Retrieval-Augmented Generation) architectures using vector databases (pgvector, Pinecone, Weaviate) and semantic search pipelines.\nOptimize model inference for latency and throughput; implement quantization, batching, and caching strategies for production serving.\nDevelop and maintain AI evaluation frameworks - including automated evals as unit tests - to ensure model behavior is reliable, safe, and production-grade.\nLLM Integration & Agentic Systems\nDesign and implement LLM-powered agentic workflows using LangChain, LangGraph, and EP's internal MCP (Model Context Protocol) server architecture.\nBuild multi-step reasoning pipelines, tool-calling agents, and autonomous task execution systems that integrate with EP's enterprise data and product APIs.\nImplement prompt engineering strategies, few-shot templates, chain-of-thought scaffolding, and structured output validation.\nApply and maintain EP's AI quality engineering (QE) standards including failure taxonomy, runtime guardrails, and evidence-driven release gates.\nContribute to EP's Enterprise Context Engine - the governed, zero-data-retention AI context layer exposed via MCP to Tabnine Agent and Claude Code.\nMLOps & Production Engineering\nBuild and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights & Biases), versioning, and deployment.\nContainerize and deploy ML services using Docker and Kubernetes; integrate with CI/CD pipelines (GitHub Actions, Azure DevOps).\nMonitor model performance in production; implement drift detection, feedback loops, and automated retraining triggers.\nEnsure AI systems meet EP's security, privacy, and compliance requirements including data minimization and access control for sensitive payroll data.\nCollaborate with the data engineering team to design and maintain feature stores, data pipelines, and training data infrastructure.\nCollaboration & Technical Leadership\nPartner with the Chief Architect AI & Data and CAIO to define AI architecture patterns and best practices for the EP engineering organization.\nCollaborate with product managers, UX designers, and full stack engineers to translate AI capabilities into well-designed product features.\nConduct code reviews for AI/ML code with a focus on reproducibility, correctness, and production readiness.\nMentor engineers across the organization in AI engineering fundamentals, LLM integration patterns, and responsible AI practices.\nStay current with the rapidly evolving AI/ML landscape; evaluate new models, frameworks, and techniques for potential application at EP.\nContribute to EP's PE AI Maturity Scorecard (S1-S3) by advancing the organization's AI capability maturity.\nRepresent EP's AI engineering practices in Architecture Review Board discussions.\nJOB REQUIREMENTS / QUALIFICATIONS NEEDED\nMinimum qualifications:\nBachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field.\n6-10+ years of professional software engineering experience, with a minimum of 3+ years focused on ML/AI engineering in production environments.\nExpert-level proficiency in Python; deep familiarity with the Python ML/AI ecosystem.\nHands-on production experience with PyTorch - model definition (nn.Module), custom training loops, autograd, GPU acceleration (CUDA), and model serialization (TorchScript, ONNX).\nExperience with Hugging Face Transformers, Datasets, and PEFT libraries; ability to fine-tune and adapt foundation models.\nDemonstrated experience building RAG pipelines, including chunking strategies, embedding models, vector store selection, and retrieval evaluation.\nProduction experience integrating LLM APIs (OpenAI, Anthropic, open-source via vLLM/Ollama) and building reliable prompt engineering systems.\nExperience with LangChain or LangGraph for multi-step agent and tool-calling workflows.\nStrong understanding of ML fundamentals: supervised/unsupervised learning, loss functions, regularization, evaluation metrics, and statistical validation.\nExperience with experiment tracking tools (MLflow, Weights & Biases, Comet) and reproducible ML workflows.\nWorking knowledge of containerization (Docker) and cloud ML services (AWS SageMaker, Azure ML, or OCI Data Science).\nExperience with SQL and NoSQL databases; ability to design data pipelines for ML training and inference.\nPreferred qualifications:\nExperience with additional deep learning frameworks (TensorFlow, JAX) or framework interoperability (ONNX).\nFamiliarity with computer vision (torchvision, OpenCV) or speech/audio processing (torchaudio) domains.\nExperience with model compression techniques: quantization (INT8, FP16, BF16), pruning, distillation.\nExperience serving ML models at scale using Triton Inference Server, TorchServe, Ray Serve, or similar.\nContributions to open-source ML projects or published research (papers, patents, or technical blog posts).\nExperience with responsible AI frameworks, bias evaluation, and AI governance practices.\nFamiliarity with MCP (Model Context Protocol) server development for exposing tools to AI agents.\nPrior domain experience in payroll, fintech, media, or enterprise SaaS environments.\nExperience with Kubernetes-based ML workload orchestration (Kubeflow, KFServing, or similar).\nHybrid work environment - Burbank, CA headquarters with flexible remote schedule.\nOn-call availability as needed for production AI system incidents and model deployment events.\nAccess to GPU-accelerated compute environments (cloud-based) for model training workloads.\nSitting for extended periods of time at a computer workstation.\nDexterity of hands and fingers to operate a computer keyboard and mouse.\nOccasional participation in early-morning or evening sessions to coordinate with distributed teams or international partners.\nOther benefits and perks included are:\nHealth, Dental, and Vision options\n401(k) retirement savings plan and company match\nPaid holidays, vacation time, and sick time\nParticipation in company equity plans\nEmployee Assistance Program, mental health and wellness programs\nTraining and development\nAnnual bonus and merit reviews\nThe salary range for this position in $140,000 to $180,000 and will be commensurate with experience related to the position.\nEntertainment Partners seeks to employ the most qualified individuals from the available workforce and to provide equal employment opportunity for all persons. Our policy prohibits unlawful discrimination based on race, color, religion, religious creed, sex, gender identity/expression, age, pregnancy, citizenship status, marital status, national origin or ancestry, physical or mental disability (whether perceived or actual), medical condition (cancer-related or genetic characteristics-related), sexual orientation, veteran status, medical/family care leave status or any other consideration made unlawful by applicable federal, state, or local laws. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.\nEqual opportunity extends to all aspects of the employment relationship, including recruiting, hiring, transfers, promotions, training, terminations, working conditions, compensation, benefits, and other terms and conditions of employment.","description_format":"text","description_chars":9630,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work","Retirement plans","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Professional Services","Corporate Events"],"lifecycle":[{"event":"open","at":"2026-09-29T14:05:23Z"}],"visa":[],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.582,"p_room":0.44,"age_days":94,"expected_fill_days":70,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":false},"html_url":"https://alion.io/job/enterprise-hub-inc-ai-engineer","json_url":"https://alion.io/job/enterprise-hub-inc-ai-engineer.json","meta":{"generated_at":"2026-10-16T06:09:23Z","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":3544,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":1914689},"rest":"https://alion.io/mcp/rest/get_company?id=1914689"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fenterprise-hub-inc-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%2Fenterprise-hub-inc-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%2Fenterprise-hub-inc-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/enterprise-hub-inc-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fenterprise-hub-inc-ai-engineer"}]}