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Build sovereign-grade AI agents and evaluation frameworks for government use cases, turning research into production systems that meet strict safety and reliability standards.
Designs and deploys AI-driven workflows (agentic systems, RAG, automation) for an edtech SaaS company, leading a small team to scale AI capabilities in production environments.
Designs and prices technical solutions for Federal IT proposals, using AI, automation, and estimation frameworks to optimize staffing, costs, and delivery models like XaaS.
Salary: $200,000 – $230,000 per year Build the Next Generation of AI-Native FinTech Products An innovative, well-funded fintech is looking for an exceptional Senior Front End Engineer who has already embraced AI…
Allara is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 60,000 women nationwide, Allara makes expert healthcare…
Build and ship LLM-powered features and agentic workflows for financial risk management, integrating AI into a cloud platform used by banks and asset managers.
Build AI-driven analytics tools in Python that turn large datasets into mission insights for government analysts, using ML, RAG, and rapid prototyping.
Build AI agents that detect fraud and security threats using LLMs, RAG, and multi-agent systems on telemetry and network data.
Lead AI engineer building agentic AI systems to automate and optimize network infrastructure using LLMs, RAG, and AI agents in a banking environment.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js, Python, Java/Spring Boot) and cloud platforms (AWS/Azure/GCP), while leveraging AI coding assistants daily.
Develops AI-driven automation solutions using RPA tools (e.g., WorkFusion) and agentic AI frameworks (LangChain, LangGraph) to build workflows, RAG systems, and document intelligence for HPE’s IT services.
Builds AI agents and RPA automations using WorkFusion, LangChain, and vector databases to orchestrate document intelligence and enterprise workflows.
Senior full-stack engineer building and deploying AI-powered applications using LLMs, agents, and RAG on Google Cloud, with React/Next.js frontends and Python backends.
Validate and improve Generative AI and Deep Learning models for a large bank, using Python, PyTorch, and cloud platforms to ensure compliance and performance.
Build, deploy, and monitor AI/ML models and MLOps pipelines for federal missions, integrating NLP, LLMs, and predictive analytics into secure enterprise systems.
Lead a team building AI-enabled financial applications in Java/Spring Boot, designing scalable systems and agentic workflows on AWS and Kubernetes.
Advises utilities and oil & gas clients on AI transformation, crafting strategies, roadmaps, and business cases to drive measurable outcomes across the Middle East and Africa.
Advise government clients on AI strategy, governance, and transformation roadmaps, turning priorities into practical solutions while engaging senior stakeholders across the Middle East.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Lead a team building generative AI and agentic systems for healthcare, including LLMs, RAG, and AI agents, from prototyping to production with MLOps and Responsible AI practices.
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