{"id":2511009,"url":"https://alion.io/job/weekday-senior-ai-engineer-5","title":"Senior 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":81,"open_postings":108,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-15T05:46:00Z"}},"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":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rust","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-14T08:54:41Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T07:11:28Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"'\n: - ( - )\nExperience: 5+ yrs\nLocation: Bengaluru, Karnataka, India\nJob Type: Full-time\nWe are looking for an experienced Senior AI Engineer with strong expertise in Python, Rust, backend engineering, and production-grade AI systems to build and scale intelligent applications and AI-powered platforms. The ideal candidate will combine solid software engineering fundamentals with hands-on experience developing LLM-powered applications, AI agents, and scalable backend services.\nYou will play a key role in transforming AI capabilities into reliable production systems, focusing on performance, scalability, observability, and maintainability. This position is suited to an engineer who enjoys solving complex technical challenges, taking ownership of end-to-end delivery, and exploring modern AI technologies.\nRequirements\nKey Responsibilities\nDesign, build, and maintain production-grade AI applications and backend services using Python and Rust.\nDevelop and deploy LLM-powered applications, intelligent assistants, AI agents, and automated workflows.\nImplement tool-calling, RAG pipelines, embeddings, vector search, and agent orchestration capabilities.\nBuild scalable APIs, asynchronous processing systems, database integrations, and reusable backend components.\nIntegrate external model APIs, inference services, and model-serving infrastructure into production applications.\nEvaluate model and application performance, including response quality, latency, reliability, and resource utilisation.\nDesign robust service architectures with appropriate error handling, retries, security, and fault tolerance.\nDeploy and manage services using Docker, Kubernetes, cloud infrastructure, and CI/CD pipelines.\nImplement observability through structured logging, metrics, distributed tracing, dashboards, and alerts.\nTroubleshoot production issues, conduct root-cause analysis, and drive continuous performance improvements.\nTake ownership of engineering capabilities from technical design and implementation through deployment and ongoing operations.\nCollaborate with product and engineering stakeholders to translate requirements into practical technical solutions.\nContribute to code reviews, architecture discussions, engineering standards, and technical documentation.\nExplore emerging AI techniques and contribute to the evolution of a Rust-based AI platform.\nWhat Makes You a Great Fit\n5+ years of professional software engineering experience, with strong proficiency in Python and/or Rust.\nHands-on experience building and deploying LLM-powered applications, AI agents, or production AI systems.\nStrong understanding of RAG, embeddings, vector databases, semantic search, tool-calling, and agent workflows.\nSolid backend engineering fundamentals, including API design, asynchronous processing, databases, and service architecture.\nProduction experience with Docker, Kubernetes, cloud platforms, and automated CI/CD workflows.\nFamiliarity with observability tools and practices involving logs, metrics, traces, and alerts.\nUnderstanding of model APIs, inference pipelines, and model-serving infrastructure.\nStrong debugging, problem-solving, and performance-optimisation skills.\nAbility to independently own complex technical initiatives from concept through production.\nExcellent written and verbal communication skills, with the ability to clearly explain technical gaps, risks, and trade-offs.\nInterest in learning Rust and contributing to a Rust-based platform.\nA strong ownership mindset and commitment to building reliable, scalable, secure, and maintainable AI 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