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Lead AI Engineer shaping AI capabilities for Altus Group's ARGUS commercial real estate platform — building LLM-powered apps, agentic workflows, and AI-driven analytics from concept to production. Remote-first from Toronto with ~1–2 in-office days per month; hands-on technical leadership role with $200k–$230k base.
Fullsteam, a vertical software and embedded payments provider, is building an evergreen talent pipeline for upcoming AI/ML software engineering roles. The work spans scalable backend services, APIs and data pipelines, plus LLM-based agentic systems and ML models, using Python, FastAPI, and AWS (Lambda, Bedrock, OpenSearch).
Staff Software Engineer defining architecture and shipping end-to-end at FlowGen Labs: building Node.js backend services, AI/agent workflows, and integrations with enterprise SAP systems at Fortune 500 scale, with production ownership of infrastructure, observability, Postgres/vector search, and RAG-based agentic orchestration. In-person in San Francisco.
About FairPlay Sports Media FairPlay Sports Media is an AI-driven, technology-led media network and BetTech infrastructure provider. Built on the 25-year legacy of oddschecker (founded in 1999), the group operates…
Senior engineering lead at Optum (UnitedHealth Group) in Hyderabad, building full-stack cloud web apps (React, TypeScript, Python, SQL) on Azure and integrating generative AI — LLMs, RAG, agents, prompt engineering — into healthcare business applications, with CI/CD, Docker/Kubernetes, and Terraform.
Meet the Team Join our diverse and inclusive Supply Chain IT team, part of one of the top supply chains in the world. We deliver outstanding services, tools, platforms, and data crucial to powering this leading supply…
Designs and governs enterprise-grade, cloud-native Java applications with AI-augmented workflows, setting standards and mentoring teams to ensure scalable, resilient systems.
Forcepoint is hiring a full-stack developer in Thane, India to design, build, and maintain production web applications end to end using an AI-native workflow — LLM coding assistants (Claude Code, Cursor, Copilot) and agent frameworks (LangChain, CrewAI, AutoGen) across the whole SDLC. Requires 4+ years full-stack experience (React; Python/Go/Rust) at a cybersecurity product company.
Full-stack developer at cybersecurity company Forcepoint, building production web apps end to end (React frontend, Python/Go/Rust backend) while using AI coding assistants and agent frameworks like LangChain/CrewAI as a core, required part of the development workflow, including shipping LLM-powered features. Based in Thane, India.
Builds and ships LLM-powered applications: writing and optimizing prompts, creating RAG pipelines with vector databases, applying NLP techniques, and deploying/monitoring models in the cloud. Core stack is Python with GPT/Llama/Gemini models, LangChain/LlamaIndex, and FAISS/Pinecone/Chroma.
Management Level F Notified, Your Story Begins Here We are Notified, the only technology partner dedicated to both investor relations and public relations professionals. We help our clients control and amplify the…
Senior engineer on Upwork's Lifted team builds GenAI product features end-to-end — RAG pipelines over catalog and customer reviews, LLM-driven personalization, a conversational Wellness Agent, and agentic workflows — plus the shared AI platform (evals, guardrails, observability), owning spec-to-production and on-call. Core stack: Python, LLM/RAG tooling, and AI-assisted dev tools like Claude Code.
At UBP, a Zurich-based private bank, you'd build practical AI tools for wealth-management workflows (onboarding, KYC, transaction monitoring, client intelligence) end to end — integrating LLMs, RAG and APIs into backend services and user-facing apps that operate reliably in a regulated banking environment.
AI Data Scientist/Engineer at private bank Union Bancaire Privée in Zurich, building end-to-end AI applications for wealth-management client lifecycle processes (onboarding, KYC, transaction monitoring) — integrating LLMs/RAG with backend services, APIs, data pipelines and user-facing web apps in a regulated banking environment.
Senior hands-on AI engineer who will take technical ownership of Emplia's conversational agent for HR, time & attendance, and payroll systems as the company moves from POC to MVP. Day-to-day work spans RAG and vector/hybrid search, LLM integration and tool calling, guardrails, permissions-aware retrieval, evaluation, observability, and multilingual text/voice experiences.
Principal-level data engineering role at a tech-bio firm in London (sourced via recruiter Fimador): building, operating and improving scalable, compliant data platforms for analytics, AI/ML and enterprise workflows, with a focus on enabling GenAI/RAG through well-governed data pipelines. Databricks and AWS experience is desirable.
6-month contract (Inside IR35) for a Data Engineer to build AI-ready data products on Databricks — designing ETL/ELT pipelines with PySpark, SQL and Python, and engineering RAG pipelines, LLM integrations and AI orchestration for enterprise IT. Hybrid: 2 days/week onsite in Cambridge, rest remote.
Senior principal-level individual contributor setting multi-year technical direction for Atlassian's Dev AI organization — architecting autonomous developer agents, agent runtimes/sandboxes, and context-retrieval infrastructure across Jira and Bitbucket. Requires deep distributed systems, cloud, and production AI/LLM experience; must be US-located.
Summer 2027 ML engineer intern at Kensho, S&P Global's AI innovation hub (onsite in New York City or Cambridge, MA). The intern leads a project prototyping, building, and testing ML models and pipelines for a GenAI platform and LLM-powered applications, working with Python, PyTorch, LangGraph, and MLOps tooling under senior mentorship.
Meltwater is hiring an AI Engineer in London to design, build, and deploy LLM-powered applications and agentic workflows end to end — from prompt engineering, fine-tuning, and RAG through containerized production deployment, monitoring, and cost optimization. Core stack: Python (some Java/Kotlin), LangChain/LangGraph, OpenAI/Anthropic APIs, Azure.
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