{"id":2677275,"url":"https://alion.io/job/extensishr-senior-artificial-intelligence-ai-developer","title":"Senior Artificial Intelligence (AI) Developer","company":{"id":3176066,"name":"ExtensisHR","domain":"extensishr.com","url":"https://alion.io/company/extensishr","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","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":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transformers","optional":true},{"name":"Vertex AI","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-16T05:37:53Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-18T02:41:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who You Are:\nThe Senior AI Developer is a hands-on engineering role responsible for designing, building, and deploying artificial intelligence and machine learning solutions that support ours transformation agenda. Working within the AI & Transformation team, this individual will develop AI-powered features, automation workflows, and data-driven applications that improve operational efficiency and enhance the client and employee experience. The Senior AI Developer will collaborate closely with product, data, and business teams to deliver production-quality AI solutions - writing clean, maintainable code and contributing to best practices across the engineering organization.\nWhat You'll Do:\nWhat You'll Do:\nDesign, develop, test, and deploy AI/ML models and applications including NLP pipelines, predictive models, recommendation engines, and intelligent automation workflows.\nBuild and integrate large language model (LLM) powered features using APIs such as OpenAI, Azure OpenAI, or Anthropic; implement retrieval-augmented generation (RAG) patterns and AI agent workflows.\nDevelop and maintain data pipelines that support model training, fine-tuning, evaluation, and real-time or batch inference.\nIntegrate AI solutions into existing enterprise platforms and APIs, ensuring reliable, secure, and performant deployment.\nWrite well-structured, tested, and documented code in Python; participate in peer code reviews and contribute to engineering standards.\nCollaborate with business analysts and stakeholders to translate requirements into AI use cases; participate in Agile sprint ceremonies.\nMonitor deployed models and pipelines in production; diagnose performance issues and implement improvements.\nConduct research and rapid prototyping to evaluate new AI frameworks, tools, and techniques for applicability to business problems.\nSupport the documentation of AI solution designs, data flows, API contracts, and operational runbooks.\nContribute to a responsible AI culture by following established guidelines around model fairness, data privacy, and explainability.\nPerforms additional responsibilities as assigned to support the efficient operation of the department and the organization.\nAI Utilization and Literacy:\nA key function of this role includes the effective use and understanding of artificial intelligence (AI) tools and technologies to enhance productivity, decision-making, and overall performance. This position is expected to maintain awareness of emerging AI applications relevant to their responsibilities, apply AI tools ethically and effectively, and continuously develop their AI proficiency.\nWhat You Bring:\nQualifications\nBachelor's degree in Computer Science, Data Science, Mathematics, or a related technical field is preferred but not required.\n4+ years of software development experience, with at least 2 years focused on applied AI/ML engineering.\nStrong proficiency in Python and experience with ML libraries such as Scikit-learn, PyTorch, TensorFlow, or HuggingFace Transformers.\nHands-on experience working with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or similar) and prompt engineering techniques.\nExperience building RAG pipelines, vector search integrations (e.g., Pinecone, pgvector, Weaviate), or AI agent frameworks (LangChain, LlamaIndex, or equivalent).\nFamiliarity with cloud AI/ML services on Azure, AWS, or GCP (e.g., Azure Machine Learning, SageMaker, or Vertex AI).\nWorking knowledge of RESTful API development, containerization (Docker), and CI/CD pipelines.\nSolid understanding of data fundamentals including SQL, data wrangling, and feature engineering.\nExperience in HR technology, PEO, or regulated industries is a plus.\nRelevant certifications (AWS Machine Learning, Azure AI Engineer, Google ML Engineer) are a plus.\nCompetencies\nApplied AI/ML Development & Model Deployment\nLLM Integration & Generative AI Engineering\nPython Engineering & Code Quality\nCloud AI Services & MLOps Fundamentals\nProblem Solving & Rapid Prototyping\nCross-Functional Collaboration & Communication\nResponsible AI Practices\nPhysical Demands:\nAbility to sit or stand for extended periods while performing desk-related tasks. \nProlonged use of a computer, keyboard, and mouse, requiring repetitive motion. \nAbility to lift and carry office supplies or equipment up to 20 pounds. \nOccasional bending, reaching, and twisting to retrieve files or supplies. \nAbility to walk throughout the office, including moving between different departments or meeting rooms. \nAbility to communicate effectively in person and via phone or video conferencing. \nAbility to focus and maintain attention for long periods while working on various tasks. \nMust be able to communicate effectively in both verbal and written form. \nOccasional travel may be required. \nThe work environment is typically quiet and climate-controlled, with standard office equipment available. \nThis role may be performed in a hybrid or remote setting, depending on business needs and employee accommodation. \nWhat We Offer:\nSalary Range: $135,000-$175,000 per year.\nWork Environment:\nThis job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. 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