{"id":2859851,"url":"https://alion.io/job/weekday-senior-applied-ai-engineer","title":"Senior Applied AI Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":113,"ghost_share":0,"stale_share":0.982,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-19T15:54:56Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-20T20:30:29Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"'\n: - ( - )\nExperience: 4+ yrs\nLocation: Bangalore\nWe are looking for a highly skilled Senior Applied AI Engineer to build and scale production-grade AI systems that enable intelligent, reliable, and personalized healthcare experiences. This role combines applied AI, LLM engineering, backend development, agentic workflows, clinical reasoning, and AI safety to deliver technology that improves healthcare accessibility and user outcomes.\nThe ideal candidate will have strong Python and backend engineering expertise, hands-on experience deploying AI systems in production, and the ability to solve complex problems in high-stakes environments. You will help transform advanced AI capabilities into dependable healthcare products with measurable performance, safety, and reliability.\nRequirements\nKey Responsibilities\nDesign and deploy AI-powered clinical workflows that reason across patient history, symptoms, medications, lab reports, and relevant medical information.\nBuild agentic AI architectures and multi-agent systems for clinical reasoning, information retrieval, verification, risk assessment, and escalation.\nDevelop backend services, APIs, data pipelines, and model orchestration systems using Python and modern engineering frameworks.\nBuild scalable RAG pipelines that retrieve relevant information from trusted medical sources, clinical guidelines, prescriptions, and patient health records.\nImplement prompt engineering, context management, model routing, verifier layers, and uncertainty detection to improve response quality.\nDevelop comprehensive AI evaluation frameworks, including simulated-patient testing, regression benchmarks, red-team scenarios, and clinical safety metrics.\nMeasure and improve clinical accuracy, hallucination risk, escalation quality, empathy, response relevance, and overall system reliability.\nImplement safety mechanisms for high-risk situations, including emergency escalation, human review, uncertainty handling, and fail-safe behaviour.\nBuild AI features for web, mobile, messaging, and other digital healthcare experiences.\nImprove the processing of unstructured and complex inputs, including PDFs, laboratory reports, prescriptions, incomplete medical histories, and longitudinal patient context.\nOptimise AI systems for latency, scalability, cost efficiency, monitoring, and production stability.\nDiagnose and resolve issues across application, model, data, and infrastructure layers.\nCollaborate with clinicians, medical reviewers, product teams, and engineers to translate clinical judgement into reliable software.\nEstablish best practices for AI testing, privacy, observability, auditability, and continuous deployment.\nWhat Makes You a Great Fit\n4+ years of relevant experience, with strong hands-on expertise in production software engineering and applied AI.\nStrong proficiency in Python and backend application development.\nProven experience building and deploying production-grade LLM, machine learning, or data-intensive systems beyond experimental prototypes.\nStrong understanding of APIs, distributed systems, testing, monitoring, and production reliability.\nPractical experience with RAG, prompt and context engineering, AI agents, model routing, fine-tuning, evaluation, or model deployment.\nFamiliarity with frameworks and technologies such as FastAPI, PyTorch, TensorFlow, LangGraph, LangChain, LlamaIndex, vector databases, and LLM observability tools.\nStrong analytical and problem-solving skills, with the ability to navigate ambiguous technical challenges.\nHigh product ownership and sound judgement when balancing accuracy, user experience, safety, performance, and cost.\nAbility to collaborate effectively with engineering, product, and clinical stakeholders.\nExcellent written and verbal communication skills, including the ability to explain complex technical trade-offs clearly.\nA strong commitment to responsible AI, privacy, clinical safety, and measurable production 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