{"id":563454,"url":"https://alion.io/job/neurogrid-staff-engineer","title":"Staff Engineer","company":{"id":2014,"name":"neuroGrid","domain":"neurogrid.ai","url":"https://alion.io/company/neurogrid","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1702},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-09T07:42:10Z","employer_posted_date":null,"last_verified_at":"2026-09-09T07:42:10Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":53},"description":"Responsibilities:\nLead design and implementation of core platform services, data models, and workflow engines.\nMake architecture decisions that balance delivery speed, reliability, and long-term scalability.\nEstablish and uphold engineering best practices across code quality, testing, observability, and security.\nApply strong systems fundamentals (concurrency, transactions, indexing, caching, consistency) to ensure correctness and performance across complex data workflows\nBuild operationally excellent services with proper monitoring, alerting, and performance tuning.\nCollaborate with AI-focused engineers to integrate LLMs, vector search, and orchestration tools into production workflows.\nOwn features from idea through production: scoping, design, implementation, code review, deployment, and iteration.\nPartner with Product and Design to translate customer workflows into elegant, performant solutions.\nWork across the stack as needed, with a primary focus on backend, data, and workflow orchestration.\nMentor and support other engineers through design reviews, code reviews, and technical guidance\nContribute to a culture of high ownership, humility, and collaboration.\nSupport hiring, onboarding, and continuous improvement of engineering processes.\nEngage with customers and early users to understand real-world workflows and validate assumptions.\nUse feedback and data to prioritise work that drives meaningful product and business impact.\nRequirements:\n7-12 years of professional software engineering experience, with significant experience in complex, data-heavy enterprise or workflow-oriented SaaS products.\nDemonstrated ownership of at least one major system or product area that delivered clear business impact.\nStrong experience building data-centric applications, including relational and NoSQL databases, data modelling, indexing, and performance optimisation.\nHands-on experience delivering applied AI in production environments, such as integrating LLMs, vector search, and RAG-based workflows.\nProficiency with modern cloud infrastructure (AWS, Azure, or GCP), containerization, CI/CD pipelines, and infrastructure-as-code.\nProven ability to operate effectively in fast-moving, ambiguous, early-stage environments.\nStrong written and verbal communication skills; 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https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}