Serve as an Architect within a multinational organization designing robust CrewAI and Optimizely based solutions that integrate LangSmith Flask Python and core Python services for digital optimization initiatives.
Responsibilities
Design end to end solution architectures integrating CrewAI components Optimizely experimentation platforms LangSmith observability tools Flask Python services and core Python libraries to deliver scalable and resilient digital products that align with enterprise standards and business goals.
Develop comprehensive architecture blueprints interface specifications and deployment patterns that support hybrid work models ensure consistent day shift collaboration and enable seamless handoffs across cross functional engineering and product teams.
Guide the design of data flows event tracking models and experiment instrumentation strategies within Optimizely and CrewAI based ecosystems to maximize reliable measurement of user behavior and system performance while supporting ethical and inclusive outcomes.
Define detailed application integration approaches between Flask Python microservices and external CrewAI or LangSmith services by outlining patterns for authentication data validation error handling and performance tuning that can be reused by development teams.
Review and refine Python code structures modularization approaches and configuration practices to ensure that solutions are maintainable testable and aligned with architectural guardrails while supporting future extension to Guide Resource Usage Records domain use cases.
Requirements
Nice to have: Optimizely Platform Specialist
Nice to have: Python related credentials such as PCAP or PCPP
Stage en recherche et développement d’Intelligence Artificielle au sein d’une équipe de recherche supervisée par un Docteur en IA, visant à concevoir, prototyper et évaluer des solutions IA innovantes pour des cas d’usage industriels.
Responsibilities
Concevoir et développer de nouvelles briques d’Intelligence Artificielle en réalisant des prototypages rapides
Tester et évaluer les solutions proposées sur des cas d’usage spécifiques et exigeants
Faire progresser un projet innovant de bout en bout en étroite collaboration avec une équipe dédiée
Lead design, delivery, and evolution of scalable GenAI services and multi‑agent infrastructure for Expedia Group’s shared generative AI platform.
Compensation
The total cash range for this position in Chicago is $171,500.00 to $240,000.00. Employees in this role have the potential to increase their pay up to $274,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Drive end‑to‑end system design, including low‑level design, API contracts, and data modeling
Collaborate across geographically distributed teams, bringing clarity to technical decisions, ownership, and dependencies
Own delivery from design through implementation, release, and production operations, ensuring high engineering quality through testing, security, observability, and operational readiness
Define and track metrics for reliability, performance, adoption, and operating cost
Build with a platform mindset, creating reusable, extensible, and self‑service capabilities
Requirements
Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience
Nice to have: Deep experience building and operating Python‑based backend APIs at scale on AWS
Nice to have: Hands‑on experience with RAG and vector store tooling
Nice to have: Experience integrating and optimizing LLM‑powered systems end to end
Nice to have: Background building internal platforms, SDKs, or shared services
AI Automation & Innovation Analyst focused on full‑stack development, data integration, and AI‑enabled workflows for Sony Pictures Entertainment’s LATAM Data Analytics & Business Insights team.
Locations (2)
Bogota, Colombia
Buenos Aires, Argentina
Responsibilities
Develop and implement automation solutions that streamline repetitive, manual, or time‑consuming business processes
Build AI‑enabled workflows using Python, APIs, workflow automation tools, and cloud‑based data assets
Design and build end‑to‑end solutions including data ingestion, backend logic, APIs, user interfaces, dashboards, lightweight web applications, internal tools, and deployment‑ready prototypes
Work hands‑on with the company’s AWS‑based data warehouse to query, transform, integrate, and prepare data for AI, automation, and business‑facing solutions
Partner with Analytics and Data Science teams to understand analytical assets, predictive models, business logic, reporting products, and strategic priorities
Lead full‑stack GenAI‑enabled application development, mentor engineering teams, and design scalable AI systems within Visa’s global payment ecosystem.
Compensation
For roles located in the US, the estimated salary range for this position is $154,900.00 to $ 248,200.00 USD per year, which may include potential sales incentive payments (if applicable).
Responsibilities
Architect and deliver GenAI‑enabled applications leveraging LangGraph, LangChain, Haystack, and AWS GenAI services
Build reusable GenAI components, SDKs, pipelines, and abstraction layers for engineering teams
Define best practices for prompt engineering, LLM safety, embedding generation, and model lifecycle governance
Develop end‑to‑end AI applications using Python, FastAPI, Flask, Node.js, React + TypeScript
Design intuitive, responsive, production‑grade user interfaces for GenAI‑powered tools
Requirements
Bachelor’s Degree in Computer Science or related field
Visa is seeking a Sr. Consultant Software Engineer to architect, design, and build scalable backend systems that integrate AI agents into Visa’s enterprise infrastructure, building next-generation Agentic AI services.
Responsibilities
Architect and evolve the Agentic AI Platform to support multi-agent orchestration, retrieval-augmented generation (RAG), and integration with existing Visa microservices.
Design scalable, secure backend systems using Java (Spring Boot) and Python (FastAPI/Flask
Develop RESTful and gRPC APIs that connect backend services, AI agents, and React front-end applications.
Integrate Large Language Models (LLMs) such as GPT, Claude, Mistral, and Gemini into backend systems.
Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS).
Health, Dental, and Vision Insurance for U.S. employees
Health Insurance for employees in Argentina, Brazil, Egypt, India, Indonesia, Jamaica, Kenya, Mexico, Nepal, Nigeria, Pakistan, Philippines, Poland, Romania, Serbia, Spain, Ukraine
Bachelor’s or advanced degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, Business Analytics, or a related quantitative or technical field
Data EngineerNewSmarkets · London, United Kingdom
ArchitectNewCognizant