Top Tech Jobs & Startup Jobs in Pune

Designs, develops, and implements ServiceNow solutions globally, specializing in ITAM, HAM, SAM, ITSM, and platform integrations. Translates business requirements into technical solutions, configures applications, performs integration testing, troubleshoots issues, and applies ServiceNow scripting technologies. Collaborates with cross-functional teams, participates in design and code reviews, ensures best-practice adherence, and provides technical recommendations for continuous improvement.

Leads the architecture and technical vision for scalable AI-powered applications, including LLM inference, RAG pipelines, autonomous agents, conversational interfaces, and intelligent dashboards. Designs secure cloud and hybrid platforms, establishes GenAI engineering standards, drives reusable AI frameworks, and ensures governance, privacy, compliance, and responsible AI practices. Partners with clients, product teams, designers, and executives; mentors engineers, reviews designs and code, conducts technical discovery, and translates business requirements into durable enterprise architectures.

Architect and lead scalable AI-powered applications using Python, React, LLMs, RAG, and agentic workflows. Own technical vision across backend, frontend, AI infrastructure, cloud deployment, security, governance, and responsible AI. Design reusable GenAI platforms, review architectures and code, conduct technical discovery, establish engineering standards, mentor engineers, and translate business requirements into durable enterprise solutions.

Architect and develop scalable Generative AI and Agentic AI solutions for enterprise clients. The role translates business and technical requirements into architectures, designs, prototypes, production-ready Python systems, and AI pipelines. Responsibilities include implementing RAG, prompt engineering, fine-tuning, evaluation, APIs, cloud deployments, scalability, security, testing, and technical documentation while guiding developers and collaborating across product and engineering teams.

Architects and implements scalable generative and agentic AI solutions for enterprise workloads. Translates client requirements into technical designs, selects architectures and technologies, establishes scalability and reliability guidelines, reviews system designs, conducts proofs of concept, and writes production-ready Python code. Builds RAG and fine-tuned LLM systems, APIs, and cloud deployments on Azure or AWS while collaborating with product and engineering teams.

Architects and develops scalable generative and agentic AI solutions for enterprise clients. Translates business and technical requirements into robust designs, selects appropriate technologies, defines non-functional requirements, writes production-ready Python, and implements RAG, LLM, fine-tuning, evaluation, APIs, and cloud deployments. Reviews architecture, security, scalability, and maintainability; conducts proofs of concept; resolves technical issues; and collaborates with product and engineering teams to deliver production AI systems.

Architects, develops, and productionizes scalable generative and agentic AI solutions for enterprise clients. Designs system architectures, RAG pipelines, prompt engineering workflows, fine-tuning and evaluation processes, APIs, and cloud deployments on Azure or AWS. Reviews technical designs, defines scalability and reliability standards, conducts proofs of concept, resolves implementation issues, and translates business requirements into maintainable AI systems. Collaborates with product and engineering teams and contributes to open-source GenAI projects.

Architects and develops scalable GenAI and Agentic AI solutions for enterprise clients. Translates business and technical requirements into system designs, selects architectures and technologies, defines scalability and reliability standards, reviews designs, conducts proof-of-concepts, and resolves implementation issues. The role requires production-ready Python development, RAG, prompt engineering, model fine-tuning and evaluation, cloud deployment on Azure or AWS, API development, and collaboration across product and engineering teams.

Develop and enhance enterprise ServiceNow solutions, primarily across SPM and CSM. Responsibilities include platform configuration, customization, scripting, workflow development, third-party integrations, testing, troubleshooting, upgrades, governance, and stakeholder collaboration. The role translates business requirements into scalable technical solutions and supports global implementation and continuous improvement initiatives.

Designs and implements enterprise ServiceNow solutions, including GRC and Legal applications, integrations, scoped applications, and platform configurations. Translates business requirements into technical architectures, reviews designs for scalability, security, extensibility, and performance, establishes implementation standards, and guides developers. Requires expertise in ServiceNow development, JavaScript and Glide scripting, REST/SOAP integrations, MID Server administration, upgrades, troubleshooting, CI/CD, and stakeholder consultation.