Software Engineer II, Search Platform Job at Airwallex (Singapore)

New

Software Engineer II - Backend - Search

Join us at Seismic, a cutting-edge technology company leading the way in the Saa...

Location

India , Hyderabad

Salary:

Not provided

Seismic

Expiration Date

Until further notice

Requirements

2+ years of experience in software engineering, with experience contributing to backend systems, microservices, or data-driven applications
Experience with C# and .NET, including object-oriented programming, unit testing, and web services
Experience working with PostgreSQL or similar relational databases, including writing queries and understanding basic performance considerations
Familiarity with container technologies such as Docker and microservice-based architectures
Working knowledge of automated testing practices (e.g., xUnit, Postman)
Familiarity with CI/CD concepts and modern development pipelines
Familiarity with Python
Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure
Basic familiarity with cloud-native services for data storage, compute, and monitoring
Experience working on SaaS applications or cloud-hosted services

Job Responsibility

Contribute to the design, development, and maintenance of backend systems and services supporting search functionality, ensuring performance, scalability, and reliability
Assist in implementing search and/or AI-related features, including indexing, retrieval, and ranking logic, to improve search accuracy and efficiency
Collaborate with engineers, AI partners, and product teams to integrate search and AI-driven capabilities across the Seismic platform
Participate in monitoring and performance tuning efforts, identifying routine bottlenecks and applying guided improvements to ensure acceptable query latency
Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to support seamless search experiences
Learn and apply new tools, technologies, and best practices related to search, backend development, and AI systems

Fulltime

New

Staff Software Engineer (Applied AI)

This is a high-leverage opportunity to serve as a foundational technical leader ...

Location

United States , Seattle; New York City; Boston

Salary:

180000.00 - 240000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

8-12 years of experience in large-scale software engineering, with a proven track record in service-oriented architectures and large data systems
Demonstrated architectural experience designing and implementing highly observable, scalable distributed systems, including complex microservices and event-driven architectures
Hands-on experience in the full-stack productization of Applied AI/LLM features, specifically working with RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows
Cloud platform proficiency (preferably AWS), including hands-on experience with infrastructure design, deployment pipelines, and cost optimization
Expertise in designing and optimizing data-intensive applications, including deep database expertise (schema design, query optimization) and data consistency patterns
A strong leadership track record in driving technical direction for significant, cross-functional projects

Job Responsibility

Architect and build the foundational LLM architecture (RAG, Agents, Vector DBs) that powers high-impact product features across the organization
Design and deliver high-performance, distributed systems (data pipelines, APIs, microservices) that process healthcare data at scale and securely integrate LLM outputs into the user experience
Drive Proof-of-Concepts (POCs) and technical evaluation of new AI technologies to validate their product viability and scalability
Design and build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features
Ensure observability, monitoring, and operational excellence, championing security and regulatory compliance (HIPAA, SOC2)
Drive system design and technical planning for all critical projects, including large, complex, and cross-functional initiatives across the organization
Partner strategically with Product, Operations, and Design leadership, translating complex business requirements into technical strategies and influencing roadmap prioritization
Mentor engineers at Software Engineer I, II, and III levels, accelerating their technical growth and leadership development
Educate the organization on the capabilities, best practices, and limitations of using LLMs and applied AI within the healthcare domain
Define and implement engineering standards, patterns, and best practices that significantly improve scalability, reliability, and developer productivity across the product

What we offer

discretionary performance bonus
equity options
competitive benefits package

Fulltime

New

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Software Engineering II

Azure Resource Graph’s (ARG part of ARM(Azure Resouure Manager)/Azure Control pl...

Location

Australia , Sydney

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
2+ years: of Platform Engineering Skills in the area of Distributed Systems and Large-scale Storage Systems Interactions, AND deep hands-on working knowledge of building a true cloud-scale services, AND operational experience in running your service in one of the large-scale clouds like Azure or other cloud provider.
1+ year(s) of experience: in driving designs along with execution and accountability to deliver, AND in applying AI/ML techniques to large-scale telemetry or resource data, AND integrating LLM (large language model)-based solutions (e.g., Azure OpenAI, LangChain) into cloud products to improve user experience and operational efficiency.
Understanding of prompt engineering, embedding generation, and vector-based search (e.g., using Azure AI Search or equivalent) to enable intelligent querying.

Job Responsibility

Works with appropriate stakeholders to determine user requirements for a set of features.
Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
Creates and implements code for a product, service, or feature, reusing code as applicable.
Contributes to efforts to break down larger work items into smaller work items and provides estimation.
Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Fulltime

New