{"id":887829,"url":"https://alion.io/job/meraki-labs-ai-engineer-2","title":"AI Engineer","company":{"id":1312,"name":"Meraki Labs","domain":"merakilabs.com","url":"https://alion.io/company/meraki-labs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI 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Learning","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-14T04:48:31Z","employer_posted_date":null,"last_verified_at":"2026-09-14T04:48:31Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"description":"Requirements:\nStrong experience building AI products or AI agents in production environments.\nExperience designing systems where AI agents can take critical or autonomous actions with minimal human intervention.\nExperience building conversational AI systems where users directly interact with the AI.\nStrong understanding of LLM architectures, agent frameworks, orchestration, and reasoning workflows.\nHands-on experience with frameworks/tools such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI APIs, Anthropic APIs, or similar ecosystems.\nStrong backend engineering fundamentals and system design experience.\nExperience working with vector databases, RAG pipelines, memory systems, and evaluation frameworks.\nProficiency in Python and modern AI/ML infrastructure.\nPreferred Qualifications:\nExperience building multi-agent systems or autonomous workflows.\nExperience deploying AI systems at scale in production.\nFamiliarity with reinforcement learning, fine-tuning, model evaluation, or AI safety.\nStartup experience or prior founding/early-stage engineering experience.\nStrong product intuition and ability to move quickly in ambiguous environments.\nHigh-Agency AI Systems:\nCandidates should have built AI agents that can take meaningful actions autonomously rather than simply retrieving information or generating responses.\nExamples include AI systems that execute workflows, Agents that make decisions or trigger actions, AI copilots integrated into operational systems, and Autonomous task execution pipelines.\nWe expect candidates to clearly explain: The level of autonomy their systems had, What actions the agents could take, and The safeguards, reliability mechanisms, and evaluation methods used.\nConversational AI Experience:\nWe are interested in candidates who have built conversational AI products where end users directly interact with AI agents.\nExamples include AI assistants, AI copilots, Chat-based workflow systems, Voice or multimodal conversational interfaces.\nThe ideal candidate should demonstrate experience designing user-facing AI interactions rather than only background automation systems.\nTechnical Stack:\nStack: Python, FastAPI, Node.js, LangChain, LangGraph, AutoGen, CrewAI, OpenAI, Anthropic, Gemini, open-source LLMs.\nVector DBs: Pinecone, Weaviate, Chroma, Qdrant, Kubernetes, Docker, AWS/GCP/Azure.\nObservability and evaluation tools for AI 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