{"id":1174672,"url":"https://alion.io/job/blend360-senior-ai-engineer-4","title":"Senior AI Engineer","company":{"id":4305,"name":"Blend360","domain":"blend360.com","url":"https://alion.io/company/blend360","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":36,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-09-26T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":["AR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":143000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1271},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"MLFlow","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Databricks","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-23T20:08:21Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-26T22:57:27Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com\nWe are seeking an Senior AI Engineer to contribute to our next level of growth and expansion.\n Leadership and Delivery\nLead project delivery end to end, with clear governance, stakeholder communication, and accountability for outcomes\nBuild and mentor a high-performing AI engineering team, establishing technical standards and fostering a culture of quality and pragmatism\nOwn proposals and new business initiatives, defining technical feasibility and communicating risks and tradeoffs clearly to clients\nDefine what AI systems should and should not attempt, setting realistic expectations and being upfront about limitations\nConduct technical reviews and architectural assessments to maintain high standards across projects and team\nAI Development\nGuide the design and delivery of RAG systems, agentic frameworks, and LLM-powered solutions that are robust enough for production\nLead the application of advanced prompt engineering techniques including instruction design, few-shot sets, structured outputs, and tool/agent prompts\nRun feasibility assessments to choose the right approach for each problem: prompting, RAG, fine-tuning, or classical ML\nMentor engineers on end-to-end AI system design and production deployment practices\nEvaluation and Quality\nDesign evaluation frameworks including LLM-as-a-judge approaches, metric creation (recall@k, precision@k), and go/no-go gates\nLead structured experiments across prompts, retrievers, chunking strategies, and models, grounded in evidence not intuition\nEstablish team practices for identifying and categorising model failures including hallucinations, retrieval misses, and instruction-following errors\nSet quality standards that ensure AI systems meet production reliability requirements\nMLOps and Infrastructure\nBuild scalable inference infrastructure and CI/CD pipelines for AI/ML models that support rapid iteration and reliable deployment\nAutomate the full MLOps/LLMOps lifecycle: tracking, versioning, deployment, monitoring, and retraining across the team\nDesign APIs, microservices, and orchestration layers optimised for latency, cost, and reliability\nLead infrastructure decisions that balance technical excellence with business efficiency\n What We Are Looking For\n5+ years building and deploying AI solutions in production environments\nExpert Python proficiency, strong Git practices, and experience with ML/LLM versioning and deployment\nSolid cloud experience across AWS, Azure, or GCP-preference for Azure-plus containerisation and orchestration knowledge\nHands-on RAG experience covering chunking, embeddings, retrieval, reranking, and evaluation\nProven MLOps/LLMOps track record using tools like MLflow, Weights and Biases, or similar\nPractical evaluation design skills: metrics, dataset curation, and structured experimentation\nExperience with event-driven architectures, APIs, and microservices\nA clear communicator equally comfortable with engineering teams and senior stakeholders\nStrong hiring and team-building instincts with proven mentoring experience\nWhat about languages?\nEnglish: Advanced (required for effective communication with global teams and client leadership).\nHow much experience must I have?\n5+ years of hands-on AI/ML engineering experience in production environments, with 2+ years of direct team leadership or technical management responsibility.\nNice to Have\nDatabricks MLOps platform\nLLM fine-tuning experience\nBuilding agentic GenAI systems\nInfrastructure as Code\nSecurity and observability for AI services\nClassical ML background\nOpen-source contributions\n Our Perks and Benefits:\nLearning Opportunities:\nCertifications in AWS (we are AWS Partners), Databricks, and Snowflake\nAccess to AI learning paths to stay up to date with the latest technologies\nStudy plans, courses, and additional certifications tailored to your role\nAccess to Udemy Business, offering thousands of courses to boost your technical and soft skills\nEnglish lessons to support your professional communication\nTravel opportunities to attend industry conferences and meet clients\nMentoring and Development:\nCareer development plans and mentorship programs to help shape your path\nCelebrations & Support:\nSpecial day rewards to celebrate birthdays, work anniversaries, and other personal milestones\nCompany-provided equipment\nFlexible working options to help you strike the right balance\nOther benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.\nSo what are the next steps?\nOur team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!","description_format":"text","description_chars":5345,"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":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-24T11:04:17Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":17,"reasons":["conf:6","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/blend360-senior-ai-engineer-4","json_url":"https://alion.io/job/blend360-senior-ai-engineer-4.json","meta":{"generated_at":"2026-09-27T03:48:08Z","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":3540,"day_limit":5000,"remaining_today":1460,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}