{"id":1525867,"url":"https://alion.io/job/nxtwave-senior-artificial-intelligence-engineer","title":"Senior Artificial Intelligence Engineer","company":{"id":2429275,"name":"CCBP 4.0 Certification Programs","domain":"ccbp.in","url":"https://alion.io/company/ccbp","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Freshteam","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"BigQuery","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Google AI Studio","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"Weaviate","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-30T12:18:40Z","employer_posted_date":null,"last_verified_at":"2026-09-30T12:18:40Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Job Description:\n\nNOTE: we require candidate from Mumbai region.\n\nKey Responsibilities:\n\n- Lead the design and implementation of multi-agent systems using LangGraph, CrewAI, and Google AI SDKs (Vertex AI Agent Builder).\n\n- Architect resilient production-grade LLM applications, advanced RAG pipelines, and autonomous, tool-augmented reasoning workflows.\n\n- Build, document, and standardize reusable AI microservices, framework architectures, and secure enterprise-grade APIs.\n\n- Deploy, optimize, and manage agent-based systems across multi-cloud environments (GCP, Azure, AWS) using Docker and Kubernetes (GKE/AKS/EKS).\n\n- Implement end-to-end system monitoring, logging, and centralized observability utilizing platforms like LangSmith, Vertex AI Inspector, or Azure Monitor.\n\n- Act as a technical stream lead, conducting robust code reviews, leading architectural discussions, and mentoring junior AI engineering staff.\n\nRequired Skills & Qualifications:\n\n- 5 - 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