{"id":717062,"url":"https://alion.io/job/node-digital-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":5581,"name":"Node.Digital","domain":"node.digital","url":"https://alion.io/company/node-digital","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":92,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herndon, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":137000,"max_usd":259000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":817},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OCR","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Angular","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Distillation","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true},{"name":"UiPath","optional":true},{"name":"Vue.js","optional":true}],"status":"live","first_seen_at":"2026-07-03T00:00:00Z","employer_posted_date":"2026-07-03","last_verified_at":"2026-09-30T23:08:12Z","board_verified":true,"closed_at":null,"days_open":90,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":90},"description":"Senior AI/ML Engineer\nLocation: Herndon, VA (Hybrid Work)\nPreferred: US Citizenship\nNode.Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning.\nRole: AI/ML Engineer\nThe AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efciency and continuous refnement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.\nRequirements\nRequired Skills:\n Overall experience of 6-10 Years working on Application/framework development\n Min 5+ years of exp in AI/ML-based app/solution development with strong focus on generative AI applications\n Hands-on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK,Lambda, and other AI/ML services\n Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning)\n Hands-on exp with OCR, ICR and OMR technologies is a must\n Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)\n Good understanding of Document Processing, classifcation, data extraction is a must \nKnowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must\n Hands-on Web application/APIs Development experience is a must \nProfciency in asynchronous/multi-threaded programming\nStrong knowledge of algorithms, data structures, complexity, optimization, caching and security \nExperience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT\nStrong knowledge of object-oriented concepts and Database concepts Experience with databases like SQL Server, PostgreSQL\n Experience with NoSQL databases and vector databases (for RAG implementations) is a plus \nKnowledge of AWS cloud architecture patterns and serverless computing\nExperience with CI/CD pipelines and DevSecOps practices \nKnowledge of Agile methodologies is desirable\nExperience working with a toolchain that includes TFS, SVN, Git\nInvolved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies\nResponsibility:\nYour responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation. You will focus on building generative AI applications with embedded artifcial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.\nKey responsibilities include:\nDesigning and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures\nBuilding repeatable intelligent solutions/bots for document processing and data cleansing\nDeveloping and deploying scalable ML/AI models on AWS infrastructure\nCreating API endpoints and integrations for AI/ML services\nImplementing model evaluation, monitoring, and continuous improvement processes Collaborating with cross-functional teams to embed AI capabilities across business functions\nNice to Have:\nExperience with front-end frameworks (React, Angular, Vue.js) and modern web development UiPath RPA Developer Certifcation and UiPath AI Center Experience\nKnowledge of chatbot development and conversational AI\nExperience with AWS Bedrock Agents and Guardrails\nFamiliarity with model distillation and prompt optimization techniques\nUnderstanding of responsible AI practices and AI security\nRecommended Certifcations:\nAWS Certifed Machine Learning - Specialty\nAWS Certifed Solutions Architect\nGeneral AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer\nUiPath AI Center Experience (nice to have)\nEucation/Year of Exp:\nBachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and generative AI application development\nCultural Fit:\nEffective communication skills for technical discussions\nComfortable with Agile methodologies\nAbility to work remotely\nAlignment with customer's mission and values\nAdaptability to varying organizational structures\nData Analysis and Data Architecture Skills\nStrong problem-solving abilities for complex AI/ML challenges\nBenefits\nMedical \nDental\nVision\nBasic Life \nHealth Saving Account\n401K Matching\nThree weeks of PTO/Sick\n11 Paid Holidays\nPre-Approved Online Training","description_format":"text","description_chars":4668,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity"],"lifecycle":[{"event":"open","at":"2026-09-11T06:14:15Z"}],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.637,"p_room":0.36,"age_days":90,"expected_fill_days":51,"reasons":["conf:6","velocity","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/node-digital-senior-aiml-engineer","json_url":"https://alion.io/job/node-digital-senior-aiml-engineer.json","meta":{"generated_at":"2026-10-01T09:37:03Z","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":300,"day_limit":5000,"remaining_today":4700,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}