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Designs and scales AI-native systems (LLMs, agentic workflows) as a senior architect, defining architecture standards and leading technical delivery for healthcare clients.
Develops a GenAI-powered internal strategy digitization platform, building backend APIs, LLM/RAG pipelines, and vector/graph DB integrations to process corporate docs and track initiatives. Bridges AI and full-stack tech to prototype and scale product features.
Hands-on Software Developer on Kyndryl's AI Led Application Modernization team, building new apps and modernizing legacy ones using AI-assisted tools (Claude Code, GitHub Copilot) and agentic frameworks (LangGraph, MCP, A2A).
Senior Python Data and AI Engineer at Citi Pune, building and optimizing ETL pipelines, data warehouses, and agentic AI systems using Python, SQL, and frameworks like LangChain/LangGraph with LLMs.
The Generative AI Architect-Manager leads the design and development of enterprise-grade AI solutions, focusing on scaling agentic AI, RAG architectures, and secure deployment. This role involves managing project delivery, mentoring teams, and collaborating with clients to implement advanced data and AI strategies.
Design and build generative AI applications using LLMs and multi-agent frameworks, integrating them into cloud and on-prem systems for scalable AI solutions.
Job Description: Job Title: Full Stack Developer (UI + Backend), GCP & AI, AS Location: Bangalore, India Role Description As part of our Technology, Data and Innovation (TDI) organization, you will build…
Senior AI/ML Automation Engineer leading design and deployment of AI-driven capabilities (LLMs, RAG, autonomous agents) to enhance cybersecurity operations for DHS, using Python, AWS/Bedrock, Databricks, Docker, and Kubernetes.
AI Software Engineer building and deploying cloud-native agentic AI and LLM solutions for federal government missions, using TypeScript, Python, Docker, Kubernetes, and cloud platforms (AWS, GCP).
Position Summary The Senior AI Engineer, Agentic Systems ( Python/React/AWS/AI) will design, build, deploy, and operate production-grade agentic AI systems that support enterprise-scale use cases. The role emphasizes…
The purpose of this role is to deliver analysis inline with client business objectives, goals, and to maintain, develop and exceed client performance targets. Job Description: About the Role We're looking for an AI…
Senior Salesforce Developer2 ROLE OVERVIEW We are seeking a next-generation Salesforce Developer with 7+ years of experience who blends deep Salesforce platform expertise with AI-driven development practices. This role…
Salesforce Technical Architect1 ROLE OVERVIEW We are seeking a visionary Salesforce Technical Architect with 12- 15 years of exp, who defines the AI-native future of enterprise Salesforce platforms. You will lead…
Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover,…
Location: Quebec City, Canada Dans des marchés en rapide évolution, les clients à travers le monde font confiance à Thales. Thales est une entreprise où les personnes les plus brillantes du monde entier se regroupent…
Sr. Technical Analyst for Agentic AI at Johnson & Johnson, designing and delivering autonomous document-generation and cognitive-search platforms using agentic AI systems, LLMs, RAG, and orchestration frameworks like LangGraph.
Lead the product backlog and delivery of agentic AI document-generation and cognitive-search platforms at J&J MedTech, working with LLMs, RAG pipelines, multi-agent frameworks (LangGraph, CrewAI, AutoGen), vector databases, and AWS AI services.
This role involves designing and developing production-grade Agentic AI systems for financial platforms at Citi. The engineer will build multi-agent architectures, optimize RAG pipelines, and integrate LLMs to automate complex financial decision-making workflows.
This role involves designing and integrating generative and agentic AI solutions into enterprise platforms using Python, RAG, and multi-agent orchestration frameworks. The developer will focus on architecting scalable AI systems, including knowledge graphs and agent harnesses, to enhance operational efficiency.
This role involves designing and developing production-grade Agentic AI systems for financial platforms at Citi, utilizing Python, LLMs, and multi-agent frameworks. The engineer will lead the architecture of autonomous systems to automate complex financial workflows and decision-making processes.
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