HYDERABAD · FULLTIME
Application Engineer - III
Vanguard Technologies
Hyderabad · onsite · Posted 69d ago
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Undisclosed4–7 yrsfulltimeHyderabad
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Section · 01
About this role
Provides advanced level system analysis, design, development, and implementation of applications and databases, under general direction.
About Vanguard
Founded in 1975, Vanguard is one of the worlds leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe-directly, through workplace plans, and through financial intermediaries.
Founded in 1975, Vanguard is one of the worlds leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe-directly, through workplace plans, and through financial intermediaries.
Vanguard s India Office
Vanguard s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.
Role Summary
This role involves advanced system analysis, design, development, and implementation of Generative AI, Agentic AI, Machine Learning, and RAG-based applications using Python and AWS. The position requires building secure, scalable, and production-grade solutions, leading backend optimization and data integration efforts, and collaborating with senior stakeholders to drive strategic AI initiatives within the financial services domain.
Responsibilities
Responsibilities
- Design, develop, and deploy scalable AI/ML and Generative AI solutions using Python and AWS services.
- Build and optimize Agentic AI systems utilizing frameworks such as LangChain, LangGraph, CrewAI, Google ADK, or AutoGen.
- Develop and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and LLMs.
- Architect end-to-end AI applications including prompt engineering, model orchestration, evaluation frameworks, and monitoring.
- Collaborate with business stakeholders and leadership teams to translate business requirements into AI-driven solutions.
- Lead technical design discussions and mentor development teams on AI/ML best practices.
- Implement and fine-tune machine learning models for predictive analytics and intelligent automation.
- Build secure, scalable, and cloud-native AI applications leveraging AWS services.
- Ensure AI solutions comply with enterprise security, governance, and regulatory standards.
- Work closely with cross-functional teams including Data Engineering, Cloud, Product, and Business stakeholders.
Qualification and skills
- Minimum 5 years of experience in software development, system integration, database design, and back-end architecture.
- Bachelor s degree (B.E./B.Tech) in relevant fields such as Computer Science, or a Master s degree/Diploma in Computer Science.
- Expertise in server-side development, system integration, and API management; strong knowledge of database design, optimization, debugging, and performance tuning.
- Must-have skills:
- Expert-level proficiency in Python with strong experience in building scalable enterprise applications.
- Hands-on experience with AWS Cloud Services and cloud-native application development.
- Strong experience in Agentic AI development, including designing and implementing RAG (Retrieval-Augmented Generation) solutions.
- Solid foundation in Machine Learning concepts, model development, deployment, and optimization.
- Experience with Generative AI technologies and LLM-based applications.
- Hands-on expertise in at least one of the following frameworks:
- LangChain
- LangGraph
- Google ADK
- CrewAI
- AutoGen
- Experience with prompt engineering, vector databases, embeddings, and AI agent orchestration.
- Ability to design, develop, and deploy end-to-end AI/ML solutions in cloud environments.
- Good to have multi cloud experience AWS and GCP
- Excellent communication and collaboration skills to work with cross-functional teams.
Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
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Section · 02
Skills
AutomationApi Managementai developmentCrewaiAws Servicesamazon web servicesBusiness RequirementsApplication EngineeringAnalyticsData EngineeringcloudArchitectureData IntegrationAi SolutionsArtificial Intelligence