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SRE with ITIL & Incident Onsite (3 days from client location) Hyderabad/Bangalore Exp: 8+years of exp The Sr. Principal Infrastructure Engineer will play a critical role in the production support of our Internet…
Java Application Production Support Engineer / Java SRE with OpenShift Onsite (3 days from client location) Hyderabad Exp: 8+years of exp Description: We are seeking a highly skilled Principal Infrastructure Associate…
Mphasis seeks a Python AI developer (7+ yrs) to build production-grade GenAI applications: RAG solutions, LLM agents (LangChain/LangGraph/CrewAI), and backend APIs/microservices in FastAPI/Flask/Django, containerized with Docker and deployed to AWS/Azure/GCP with MLOps practices. Fully onsite 5 days/week in Sunnyvale, CA or Berkeley Heights, NJ.
Senior full stack engineer at IT services firm Mphasis who designs, builds, and deploys LLM-powered applications (RAG, AI agents, prompt engineering) on Java/Spring Boot, React/Next.js, and AWS, while driving developer-led quality via test automation with Playwright/Perfecto. Based in Bangalore (preferred) or Hyderabad.
Senior (10+ yrs) role at IT services firm Mphasis to design, deploy, and operate agentic GenAI systems on AWS (Bedrock), covering RAG/Graph-RAG, MCP tooling, LLM fine-tuning, workflow orchestration (Airflow), IaC (Terraform), and LLMOps observability across modern data platforms. Based in Bangalore/Hyderabad; only immediate joiners (max 15-day notice).
Mphasis is hiring a Forward Deployed Engineer in Berkeley Heights, NJ (5 days onsite) to work directly with customers, translating business requirements into scalable technology solutions using agentic AI, AI-assisted engineering, automation, and modern CI/CD-driven software delivery. Requires 5–7 years of experience.
AI Developer with Python Locations: Sunnyvale, CA / Berkeley Heights, NJ Work Model: 5 Days Onsite from Day 1 Interview: Mandatory In-Person Interview Experience: 7 + Years Job Summary We are looking for a strong…
Senior (7+ yrs) Python AI developer role, onsite 5 days/week in Sunnyvale, CA or Berkeley Heights, NJ. Day to day: build production-grade Generative AI apps — RAG solutions and LLM agents (LangChain, LangGraph, CrewAI) — plus backend APIs/microservices in FastAPI/Flask/Django, containerized with Docker and deployed to AWS, Azure, or GCP with MLOps practices.
Hands-on senior engineer building the AI-powered 'Virtual C-Suite' product: scalable backend services in Java/Spring Boot, Python components integrating Azure AI Foundry/LLM models, and occasional React front-end work, shipped via CI/CD to Kubernetes on Azure/AWS. Hybrid role based in Mexico City (3 days on-site, 2 remote).