{"id":1399945,"url":"https://alion.io/job/ils-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3787483,"name":"ILS","domain":"ilsprovision.com","url":"https://alion.io/company/ilsprovision","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"PeopleForce","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":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"ElasticSearch","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"Interpretability","optional":false},{"name":"Jira","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenSearch","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SOPS","optional":false},{"name":"spaCy","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Terragrunt","optional":false},{"name":"Transformers","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-09-28T14:54:54Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-28T22:34:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Location: Hybrid/RemoteReporting To: CTO\nDepartment: Engineering & Architecture\nAbout Intelligent Legal Solutions (ILS)\nAt Intelligent Legal Solutions (ILS), we’re transforming how fund formation and private equity legal work gets done. Our flagship product, ProVision, is a legal tech SaaS platform that streamlines fund documentation and workflows for law firms and institutional fund managers.We’re still early, but we have a clear product-market fit, a deep understanding of our buyers, and an ambitious roadmap. We operate at the intersection of legal, private equity, and workflow automation, and we’re building the go-to platform for fund formation teams globally.\nThis is a rare opportunity to join a lean, high-calibre team that is seeing significant traction in the marketplace. The bar is high, the work is hands-on, and the impact on the company’s growth, brand, and revenue will be direct and visible.\nWe move fast, take ownership, and stay close to our customers. We value clear thinking, simplicity over complexity. If you want to do the best work of your career in legal tech, we’d love to build with you.\nRole Overview\nWe are seeking a Senior AI Engineer to join our product engineering team and lead the development of AI-powered features within ProVision. This is a hands-on applied research and engineering role focused on natural language processing, machine learning, and the deployment of large language models (LLMs) into production SaaS environments at scale.The successful candidate will design and build models that enhance legal document understanding and workflow automation, while ensuring solutions are performant, reliable, and maintainable in a production-grade cloud environment.\nWhat You Will Be Doing\nDesign and implement ML models to improve document parsing, search, classification, and summarization.\nIntegrate large language models (LLMs) into core product workflows, with emphasis on reliability, performance, and guardrails against errors.\nCollaborate with engineers, product managers, and QA to deliver AI-driven features aligned with client needs.\nOptimize model serving and inference pipelines for low latency and cost efficiency in AWS (ECS, Lambda, S3, CloudWatch).\nDevelop data pipelines for training and evaluation, leveraging existing stores (PostgreSQL, Redis, Elasticsearch/OpenSearch, S3).\nEnsure models meet scalability, security, and compliance requirements for enterprise SaaS deployments.\nStay current on advancements in NLP, LLMs, and applied ML; bring innovations into production when appropriate.\nContribute to documentation, code reviews, and knowledge sharing across the engineering organization.\nMust-Have Requirements\n5+ years of proven experience as an AI/ML Engineer or similar role, delivering NLP and ML models into production SaaS platforms.\nStrong knowledge of machine learning fundamentals and hands-on experience with NLP libraries/frameworks (e.g., spaCy, Hugging Face Transformers, PyTorch, TensorFlow).\nDemonstrated experience deploying and scaling large language model applications in production (e.g., fine-tuning, retrieval-augmented generation, evaluation, monitoring).\nSolid programming skills in Python (preferred) with experience in building APIs and integrating AI models into applications.\nUnderstanding of distributed systems and cloud environments (AWS preferred: ECS, Lambda, S3, CloudWatch).\nExperience with data pipelines and orchestration for model training, evaluation, and monitoring.\nAbility to evaluate trade-offs between accuracy, cost, performance, and interpretability in applied AI systems.\nEnglish at a level (B2+) sufficient for daily communication with the team.\nPreferred Requirements\nExperience with legal technology or document-heavy domains.\nFamiliarity with vector databases and semantic search (e.g., Elasticsearch, OpenSearch, Pinecone, FAISS).\nKnowledge of prompt engineering, fine-tuning, and evaluation techniques for LLMs.\nExperience integrating AI safety, compliance, and explainability into deployed solutions.\nExposure to front-end frameworks (React, TypeScript) and how AI integrates into end-user experiences.\nPersonal Attributes\nPassionate about applying AI to real-world, high-value problems.\nStrong problem-solver with a pragmatic mindset: balances cutting-edge techniques with production readiness.\nExcellent communicator, able to collaborate across technical and non-technical teams.\nCurious, self-motivated, and committed to continuous learning and improvement.\nHow We Work\nOur teams work in Agile Scrum squads, supported by strong CI/CD, IaC (Terraform/Terragrunt), and security-first practices (SOPS, KMS).\nAll requirements live in Confluence, all work items live in Jira.\nEqual Opportunities\nILS is committed to providing an inclusive and fair recruitment process. We welcome applications from people of all backgrounds and make employment decisions based on skills, experience and suitability for the role.We do not discriminate on the basis of any protected characteristic under the Equality Act 2010. We are also committed to making reasonable adjustments throughout our recruitment process where required.\nThank you for your interest in ILS and for taking the time to apply. We believe the best work happens when talented people come together around a shared purpose, and we’re always excited to meet people who want to build something meaningful with us.","description_format":"text","description_chars":5385,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Legal Services"],"lifecycle":[{"event":"open","at":"2026-09-28T14:54:54Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["conf:31","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ils-senior-ai-engineer","json_url":"https://alion.io/job/ils-senior-ai-engineer.json","meta":{"generated_at":"2026-09-30T06:44:55Z","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":4808,"day_limit":5000,"remaining_today":192,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}