{"id":3539287,"url":"https://alion.io/job/aays-analytics-principal-full-stack-engineer-ai","title":"Principal Full Stack Engineer - AI","company":{"id":3908009,"name":"Aays Analytics","domain":"aaysanalytics.com","url":"https://alion.io/company/aays-analytics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-30T18:36:15Z","employer_posted_date":null,"last_verified_at":"2026-10-30T18:36:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Responsibilities: \nPlay an instrumental and influential role in driving generative AI vision, strategy, and architecture.\nArchitect, build, maintain, and improve new and existing suites of GenAI applications and their underlying systems.\nDesign and develop backend systems and APIs for AI-driven products and agent frameworks.\nIntegrate LLMs into scalable, production-ready systems.\nEstablish reusable frameworks to streamline model building, deployment, and monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms.\nBuild guardrails, compliance rules, and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases.\nDevelop templates, guides, and sandbox environments for easy onboarding of new contributors and experimentation with new techniques.\nEnsure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implementing a clear peer review process of applications.\nContribute to and promote good software engineering practices across the team.\n\nRequirements: \nProven experience in leading AI projects from conception to deployment in a consultancy or start-up environment.\nProfessional software engineering experience, ideally working on backend systems, APIs, or AI-related products.\nProficiency in Python (Django) and JavaScript/TypeScript (React).\nStrong understanding of backend architectures, REST/GraphQL APIs, and data modeling.\nExperience with containerization (Docker) and cloud platforms (GCP, Azure, or similar).\nExposure to agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc. ).\nPractical experience with databases (SQL / NoSQL).\nStrong foundation in software design principles and system design.\nStrong leadership skills with a proven track record of mentoring and developing talent.\nExcellent communications skills, capable of conveying complex AI concepts to nontechnical stakeholders.\nA strategic thinker with a passion for problem-solving and innovation.\nSME in statistics, analytics, big data, data science, machine learning, deep learning, cloud, mobile, and full-stack technologies.\nHands-on experience analyzing large amounts of data to derive actionable insights.\nSkills\nDjango, Generative AI, JavaScript, LLM, LangChain, LangGraph, Python, React, 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