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Senior Software Engineer II at LexisNexis Risk Solutions in Mumbai, building and maintaining software for AML, fraud, and identity verification products using Python, LLM/RAG pipelines, SQL Server, and AWS.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
The Applied AI Engineer will design, build, and productionise AI-powered features within a C# .NET platform. The role focuses on integrating LLMs, RAG pipelines, and vector search into scalable, customer-facing software.
The Senior Data Analyst will support Supply Chain Finance by building interactive dashboards, modeling complex datasets, and developing automated reporting solutions using the Microsoft Power Stack and SQL. The role involves acting as a business partner to finance stakeholders, optimizing data architecture, and leveraging AI-assisted tools to improve analytical workflows.
This role leads a team of technical specialists and deployment strategists to build and deploy Agentforce AI solutions for enterprise customers. The position requires hands-on leadership in AI architecture, team management, and direct customer engagement to drive production-ready AI implementations.
The Staff ML Engineer will architect and scale the Gaia Emblem engine, focusing on LLM integration, RAG pipelines, and GPU-aware infrastructure. This role involves leading technical strategy, mentoring engineers, and building high-throughput distributed systems for AI-powered data security.
The Senior Software Engineer II will design and develop software solutions for risk assessment products, focusing on RAG pipelines, LLM integration, and cloud-native development. The role involves mentoring team members and collaborating across functions to deliver secure, high-impact applications.
The Staff Software Engineer will design and build autonomous AI agents using frameworks like LangChain and AutoGen to transform enterprise workflows. The role involves integrating these agents with cloud systems and optimizing them for performance and scalability using Go, Rust, or Python.
Develops AI-driven automation tools and data pipelines using Python/SQL to enhance developer productivity and reporting systems for a global financial services firm.
QA Lead at apna owning the full quality lifecycle—manual testing, Python-based automation frameworks, and AI/LLM product evaluation (RAG, hallucination testing, prompt sensitivity) across web, mobile, and API surfaces.
Job Description As a Senior Engineer 2, you'll be part of a key team of Nordstrom Technology professionals who apply engineering and design principles to build the platform that brings Nordstrom's supplier…
Lead Python data engineering for Citi's credit risk platforms—designing microservices, containerized deployments, and AI/GenAI-enabled workflows at scale within a global bank.
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
A summer analyst internship building AI/data solutions for JPMorgan Chase’s fintech operations, using tools like AWS, Snowflake, and Python to develop predictive models, automate processes, and drive data-driven decisions for clients and risk management.
Principal Data & AI Solution Architect designs end-to-end AI and data solutions for enterprises, translating business needs into scalable architectures using cloud platforms like Azure and Databricks.
The Research Engineer will develop Green AI technologies, focusing on model optimization, efficient inference, and large language models to improve the sustainability of AI systems. This role involves conducting experiments, benchmarking algorithms, and collaborating with cross-functional teams to translate research into practical applications.
This role is a technical leadership position focused on architecting AI-powered testing ecosystems and evaluation frameworks for security operations. The lead will mentor engineering teams, define strategic quality roadmaps, and implement advanced validation techniques using Python, Go, and AI-driven automation tools.
Contract AI Engineer building and deploying ML/AI applications, LLMs, and generative AI solutions using Python and cloud platforms for a retail business in London.
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