{"id":37236,"url":"https://alion.io/job/neuron7-lead-software-engineer-ai-platform-engineering","title":"Lead Software Engineer – AI Platform Engineering","company":{"id":7541,"name":"Neuron7","domain":"neuron7.ai","url":"https://alion.io/company/neuron7","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":97,"open_postings":18,"ghost_share":0.056,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","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":23000,"max_usd":65000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Chroma","optional":false},{"name":"CrewAI","optional":false},{"name":"FAISS","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Milvus","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"Weaviate","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-08-03T11:04:53Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-10-16T14:22:03Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":73},"description":"Lead Software Engineer - AI Platform Engineering\nLocation: Bangalore, India (Hybrid)\nAbout Neuron7.ai\nNeuron7.ai is a leading Enterprise AI company building Agentic AI solutions that help Fortune 500 organizations transform customer service and field operations. Our AI platform enables enterprises to diagnose, resolve, and automate complex service issues using Large Language Models (LLMs), enterprise knowledge, and intelligent automation.\nAs part of our Customer Engineering organization, you'll work directly with some of the world's largest enterprises, helping them deploy and scale AI solutions that deliver measurable business outcomes.\nRole Overview\nWe are looking for a Lead Software Engineer - AI Solutions with 10-12 years of experience who enjoys solving complex customer problems and building enterprise-grade AI solutions.\nThis is a customer-facing technical leadership role, where you'll partner with enterprise customers, Product, Engineering, and AI teams to design, customize, and implement AI-powered solutions. The ideal candidate combines strong software engineering expertise with excellent communication and stakeholder management skills.\nKey Responsibilities\nCustomer Engagement\nPartner with enterprise customers to understand their business challenges and technical requirements.\nLead technical discovery sessions, architecture discussions, and solution design workshops.\nTranslate customer requirements into scalable AI-powered solutions.\nServe as a trusted technical advisor throughout implementation and deployment.\nSupport customer onboarding, production rollouts, and post-deployment optimization.\nSolution Development\nDesign, develop, and customize AI-powered applications using Neuron7's platform.\nBuild integrations with customer enterprise systems, APIs, CRMs, and knowledge repositories.\nDevelop scalable backend services, workflows, and automation using Java or Python.\nConfigure and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents.\nTroubleshoot complex production issues and provide technical guidance to customers.\nTechnical Leadership\nLead solution architecture for strategic customer implementations.\nMentor engineers and promote engineering best practices.\nDrive code reviews, design reviews, and technical quality.\nCollaborate with Product and Engineering teams to influence product improvements based on customer feedback.\nCross-Functional Collaboration\nWork closely with Product Management, AI Research, Customer Success, and Professional Services teams.\nShare customer insights to improve product capabilities.\nContribute to reusable implementation frameworks and best practices.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science or a related field.\n10-12 years of software engineering experience, including customer-facing implementation or solution engineering.\nStrong hands-on programming experience in Java (Spring Boot) or Python.\nExperience designing and building scalable distributed systems and APIs.\nStrong understanding of software architecture, integration patterns, and cloud-native applications.\nExperience integrating enterprise applications using REST APIs and event-driven architectures.\nAI & Technical Experience\nHands-on experience with one or more of the following:\nLarge Language Models (OpenAI, Anthropic, Gemini, Llama)\nRetrieval-Augmented Generation (RAG)\nAI Agents and Agentic AI frameworks\nLangChain, LangGraph, LlamaIndex, CrewAI, or similar frameworks\nPrompt engineering and AI workflow orchestration\nVector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma)\nEnterprise search and knowledge management solutions\nCustomer-Facing Skills\nExperience working directly with enterprise customers during implementation and deployment.\nAbility to communicate complex technical concepts to both technical and business stakeholders.\nStrong presentation and solution architecture skills.\nExperience leading customer workshops and technical discussions.\nAbility to manage multiple customer engagements simultaneously.\nStrong problem-solving and stakeholder management skills.\nPreferred Qualifications\nExperience in Customer Engineering, Solutions Engineering, Professional Services, or Technical Consulting.\nExperience implementing SaaS or Enterprise AI solutions.\nKnowledge of ServiceNow, Salesforce, SAP, Microsoft Dynamics, or similar enterprise platforms.\nExperience working with Fortune 500 customers.\nExposure to cloud platforms (AWS, Azure, or GCP).\nWillingness to travel occasionally to customer locations, if required.\nSuccess in This Role\nYou'll be successful if you:\nBuild trusted relationships with enterprise customers.\nDeliver high-quality AI solutions that solve real business problems.\nInfluence product direction through customer feedback.\nLead complex customer implementations successfully.\nMentor engineers and contribute to technical excellence.\nRepresent Neuron7 as a trusted technical advisor.\nWhy Join Neuron7?\nWork on cutting-edge Agentic AI products used by Fortune 500 enterprises.\nCollaborate with world-class AI researchers, engineers, and product leaders.\nSolve complex customer challenges using innovative AI technologies.\nCompetitive compensation and ESOPs.\nComprehensive health insurance.\nHybrid work environment.\nOpportunity to shape the future of Enterprise AI and customer success.\nNeuron7 is an Equal Opportunity Employer. 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