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Job Title: GenAI Solution Architect / Technical Lead/ Only W2 Location: Phoenix, AZ – Day 1 Onsite( Ready to Relocate) Duration: Long term Contract Immediate Interviews & offers Only W2 Interested Candidates Job…
Founding engineer at an early-stage B2B SaaS pricing intelligence startup, owning LLM infrastructure: eval harnesses, automated expert-review workflows, simulated buyer personas, multi-provider model routing, and an MCP server for agent-driven pricing features. On-site in Amsterdam; $225k–$255k USD.
Build and scale full-stack systems powering Scale AI’s Generative AI Data Engine, using TypeScript, React, Node.js, MongoDB, and Elasticsearch to support LLMs and RLHF pipelines.
B2B contract role for an experienced Node.js/TypeScript developer acting as an AI/Prompt Engineer: designing GenAI solutions, building and integrating AI agents into applications and business processes, and using AI dev tools like Claude Code and Cursor. Fully remote, long-term client projects.
Design and implement production-grade agentic AI systems (LLM-powered agents, RAG, multi-agent patterns) for enterprise clients, ensuring reliability, security, and measurable business outcomes.
Build and deploy production-grade agentic AI solutions like RAG pipelines and multi-agent workflows for enterprise clients, integrating with systems like CRM and ERP using Python and cloud-native AI platforms.
Design and deliver production-ready AI solutions for enterprises, from RAG and LLM apps to MLOps and agentic workflows, while guiding clients from experimentation to scalable deployment.
Design and lead end-to-end AI solutions for enterprise clients, translating business goals into scalable, production-grade AI systems while collaborating with cross-functional teams.
Lead end-to-end AI/ML architecture and deployment for enterprise clients, designing scalable, secure solutions and mentoring teams to deliver measurable business impact.
The Applied AI Solutions Architect leads the design and implementation of production-ready agentic AI solutions for enterprise clients. The role involves building reusable AI accelerators, establishing technical standards, and collaborating with cross-functional teams to deliver high-impact AI/ML projects.
Design, build, and operationalize production AI/ML systems for enterprise clients, translating architectures into clean Python and SQL code, integrating with cloud data platforms and APIs, and contributing to reusable accelerators and engineering standards.
Senior Data and AI Engineer at Sanofi in Toronto who leads a data engineering team to build scalable data pipelines, improve production data processes, and deliver business insights. Core stack includes Spark, AWS, SQL and Python, reporting to the Head of Data Engineering.
Forward Deployed Engineer in Juniper Square's Applied AI unit, working directly with private markets GP clients to design, build, deploy, and operate custom AI agents across the full delivery lifecycle. It's an AI-first, full-stack role using cloud, containers, CI/CD, and agentic patterns like retrieval, MCP tool integration, orchestration, and evaluation.
Senior Forward Deployed Engineer in Juniper Square's Applied AI unit, working directly with private markets GP clients to discover, scope, build, deploy, and operate custom AI agents end to end. Combines product management with full-stack engineering on agentic systems — retrieval, MCP/tool integration, orchestration, evaluation, and cloud infrastructure.
Senior QA GenAI Engineer at 99x in Lisbon (hybrid, 3 days/week on-site): designs test strategies for microservices and distributed systems while building GenAI capabilities — AI agents, RAG/embedding solutions, and LLM integrations (e.g., MCP) — plus backend microservices in .NET or Java to bring AI into the SDLC.
Senior engineer building and deploying Generative AI solutions end to end — data pipelines, RAG systems, agent-based architectures and APIs across cloud and on-prem environments. Core stack is Python, SQL, LangChain/LlamaIndex and vector databases, with a strong Azure tilt; hybrid work in Lisbon/Porto.
Senior AI Engineer building and deploying Generative AI solutions (LLM apps, RAG architectures, AI agents) for a major telecom client, taking use cases from experimentation to large-scale production. Core stack: Python, LLM/RAG tooling, vector databases, Docker/Kubernetes, cloud (AWS/Azure/GCP), and DevOps practices.
A hands-on AI engineer at Cognizant building and shipping production agentic AI systems that operate on real financial data and serve real customers in a regulated, customer-facing environment. Day-to-day work focuses on LLMs and agentic systems alongside engineers, product managers, and designers, with strong mentorship.
Senior technical lead at Capco's AI Frontier Lab in Paris: owns end-to-end architecture of agentic AI solutions (orchestration, tool calling, memory, evals) for financial services and energy clients, leads and mentors the engineering team while staying hands-on in Python, and represents technical decisions to senior client stakeholders.
AI Engineer at 9fin building large-scale generative AI systems for its debt-markets data platform, from retrieval and knowledge graphs to agentic workflows. Day to day you own the end-to-end model lifecycle (experimentation, training, evals, deployment) in Python on AWS, collaborating cross-functionally to push AI adoption across the product.
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