Top Artificial Intelligence Jobs in Bangalore

Designs, develops, tests, and maintains secure, scalable software across the SDLC. Produces architecture artifacts, debugs complex systems, leverages AI-assisted development tools, analyzes large data sets to improve code and architecture, and contributes to engineering communities while promoting secure and resilient application practices.

Develop, troubleshoot, and maintain secure, high-quality software components within an agile team. Use enterprise-authorized AI-assisted development tools, participate across the SDLC, build and test systems considering upstream/downstream impacts, and work with large datasets to inform secure, stable application development.

Lead and deliver moderately complex full‑stack software projects, design and implement scalable UI applications, use modern frontend frameworks, leverage agentic/GenAI development tools, mentor engineers, and collaborate across teams to resolve technical challenges and ensure quality deployments.

Design, build, and operate platforms and backend systems at Rubrik. Own Kubernetes, develop distributed services, and collaborate with engineering teams.

Develop and run FEA simulations using commercial CAE tools to evaluate structural performance (static, dynamic, thermal, fatigue, seismic). Build models, validate with hand calculations and test correlation, support V&V, root-cause analysis, and document findings to drive design improvements and adhere to industry standards.

Perform CFD and thermal simulations for electronics cooling across component to sub-system levels, analyze airflow and thermal risks, support steady-state and transient studies, correlate simulations with test data, document results, support V&V and certification requirements, and collaborate on design optimizations and automation/scripting efforts.

Develop and run CFD simulations for refrigerant leaks, gas dispersion, ventilation, and fire/combustion scenarios (transient and steady). Model multiphase flows, species transport, ignition and flame propagation, analyze hazard scenarios, apply boundary conditions, support V&V against test data, produce technical reports, and collaborate with cross-functional teams on safety, compliance, and product design.

Perform CFD-based fire and explosion simulations (FLACS, FDS) for ESS/BESS scenarios, analyze thermal, overpressure, and gas dispersion outputs, support performance-based safety design and V&V, prepare technical reports, and collaborate with multidisciplinary teams while developing expertise under senior guidance.

Build intuitive, responsive frontend experiences for AI-driven observability: implement dashboards, real-time streaming views, design-system components, AI UX patterns, state management, API integration, testing, performance, and instrumentation while collaborating across product, design, backend, and SRE teams.

Lead design, build, and maintain secure, scalable software systems; write and review production-quality Python code; drive adoption and safe use of enterprise AI-assisted engineering tools; improve automation, resiliency, and operational stability; evaluate vendors and lead engineering communities of practice within Commercial and Investment Banking.

Lead post-silicon validation for AI SoCs, develop strategies for reliability, debug complex issues, and foster team collaboration and automation.

Lead Salesforce engineering efforts: design and build Apex, Visualforce, Aura/LWC, automation (flows, Process Builder), integrations (REST/SOAP), CI/CD and Git workflows, ensure performance, security (Shield), managed package/AppExchange compliance, and apply healthcare domain knowledge in Agile teams.

Lead design and development of scalable AI-enabled applications. Own end-to-end AI/ML solution lifecycle, architect backend services (Python/FastAPI, Java/Spring), build React front-ends, deploy cloud-native solutions (Azure/GCP), implement DevOps/CI-CD, optimize real-time performance, support production, and collaborate with stakeholders on technical designs and testing.

Design, develop, test, deploy, and maintain RPA solutions using Automation Anywhere. Gather requirements, document processes, create scalable bots, perform QA, troubleshoot issues, and train end-users while collaborating with stakeholders.

Lead full‑stack engineer responsible for end-to-end feature delivery: front-end interfaces, back-end services/APIs, cloud/DevOps, testing, security, and promoting enterprise AI‑assisted engineering practices and automation.

Entry/mid-level QA Engineer who designs, maintains, and executes automated and manual tests, refines automation frameworks, performs performance testing, integrates tests into CI/CD pipelines, validates data persistence (SQL/NoSQL), identifies and tracks defects, and collaborates with cross-functional teams in an agile environment to align QA work with product strategy.

Lead architecture for software products across cloud-native domains (AWS), drive technical governance, evaluate and adopt emerging technologies (AI/ML/LLM), produce and review secure production code, guide integration and service design, mentor teams, and influence product and operational decisions.

Lead architecture and development of cloud‑native .NET microservices and high‑performance Web APIs. Drive AI adoption—design LLMs, agentic workflows, vector search/RAG, and AI‑augmented SDLC. Mentor senior engineers, own high‑impact technical decisions, optimise performance, and ensure secure, scalable delivery across the full SDLC in Finance/KYC domains.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Lead development of observability and data infrastructure for Databricks, building scalable pipelines, integrating with ecosystem tools, optimizing performance and cost, mentoring engineers, and driving cross-functional product milestones from requirements through operation and iteration.

Own production services, ensuring reliability and operational excellence while collaborating with teams to design and maintain a performant application platform. Responsibilities include managing SLIs, improving alert quality, and building automation scripts.

Design and document scalable marketing and data solution architectures across cloud platforms. Lead regional architecture standards, incorporate security and governance, track design decisions, run stakeholder workshops, and support implementation and updates across APAC.

Design and document scalable marketing and data solution architectures across cloud platforms. Lead regional architecture standards, incorporate global security requirements, oversee other architects, track design decisions, run stakeholder workshops, and ensure continuous updates and governance alignment.

Lead infrastructure quality engineering and automation for hybrid enterprise platforms. Architect IaC validation, CI/CD, microservices (Java/Spring Boot/MS SQL), cloud transformation (AWS/Azure), observability, and AI-driven automation. Mentor 20+ engineers, define KPIs, drive reliability, testing strategy, and cross-team collaboration for scalable, production-ready infrastructure.

The Software DevOps Engineer will develop, enhance, and implement software systems for generative AI, focusing on backend development, quality assurance, and scalability.