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Hands-on Principal Engineer leading AI-driven software and agentic AI systems end-to-end, using C#/.NET, LLMs, and cloud-native architectures (Docker, Kubernetes) at Solera in Bangalore.
The Principal AI Engineer leads an embedded innovation squad to design, build, and deploy agentic AI solutions into production. The role focuses on architecting LLM-based systems, establishing reusable AI patterns, and mentoring engineers while working across the enterprise to scale AI capabilities.
The Senior AI Machine Learning Engineer will design and deploy production-grade generative AI applications and autonomous agents to automate financial workflows. The role focuses on leveraging foundation models, RAG, and fine-tuning to enhance BlackLine's financial close and invoice-to-cash platforms.
Work for the IMF. Work for the World. Under the direction of the Section Chief of Economic Data of ITD, the Senior/Economic Data Systems Engineer serves as an individual contributor. The position provides Fund-wide…
Builds and integrates GenAI solutions using C#/.NET, Azure, and OpenAI APIs to develop scalable backend/web apps with SQL Server, while collaborating with product owners and analysts from concept to production deployment.
12-month contract role building AI platforms and agentic AI applications for a pharmaceutical company, using Python, FastAPI, cloud platforms (GCP/Azure), Kubernetes, and ML frameworks like PyTorch/TensorFlow.
Design and build agentic AI solutions—LLM-powered agents, RAG pipelines, and workflow automation—integrated with CRM/PMS systems for a property portfolio platform, using Python/C#/TypeScript, vector databases, and frameworks like LangChain or Semantic Kernel.
Senior full stack engineer building a secure AI-first cybersecurity SaaS platform for SMEs, working across React/TypeScript frontend, Node.js backend, PostgreSQL, Azure cloud, and LLM integrations (OpenAI, Claude) with strong emphasis on secure coding and AI cost optimization.
Senior Full Stack Engineer owning end-to-end data pipelines, data modeling, and infrastructure for data quality and governance, while building systems to support AI/retrieval-based features in a regulated environment.
Build and maintain Python-based backend services and AI-powered chatbots, integrating LLMs and RAG workflows to deliver scalable, production-grade applications.
AI Engineer (Python) building scalable backend services, RESTful APIs, and AI-powered capabilities like RAG and document ingestion for a Singapore government Smart Nation agency.
Hands-on AI Engineer designing, building, and deploying LLM/GenAI solutions covering the full AI lifecycle including RAG pipelines, agentic AI, model training/fine-tuning, and production deployment using Python.
Build and deploy agentic AI/ML applications on AWS for national security missions, using Python, large language models, RAG architectures, and agent orchestration patterns to automate workflows and support decision-making.
Design, develop, and deploy AI solutions using LLMs, autonomous agents, and RAG into enterprise products, working primarily with Java and cloud platforms at an on-site Lahore office.
Build and deploy scalable ML and GenAI solutions at Amgen, turning prototypes into production-ready services using Python, cloud platforms, MLOps and containerization.
Leads AI system design and productionization for internal workflows, focusing on agentic AI, orchestration, and reusable patterns to improve enterprise efficiency and customer outcomes.
Develops and deploys AI-powered legal tools by designing experiments, evaluating LLM/ML models, and prototyping agentic systems for legal research, drafting, and decision-making.
We are seeking a Senior AI Engineer to lead the design and delivery of complex AI solutions across our enterprise data platform. You will define technical standards, mentor junior engineers, and act as a key bridge…
Senior Python Developer building and scaling Optica Security, a DISA APL-listed STIG compliance platform for federal defense customers. Day-to-day work involves Python-based security scanning, integrating local and cloud AI/LLM models, and automating cybersecurity content workflows.
Designs and builds cloud-native and agentic AI solutions on AWS, integrating LLMs, RAG, and automation to enhance enterprise applications and user experiences.
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