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Head of AI Safety & Security Research
Lead Alice Labs' research agenda in AI safety, security, and model evaluation — designing benchmarks and red-teaming/adversarial-robustness methods for frontier LLMs, agents, and multimodal systems, publishing quarterly at top venues (NeurIPS, ICML, IEEE S&P), mentoring researchers, and translating findings into product.
Head of AI Safety & Security Research
Leads Alice Labs' AI safety and security research agenda: designing benchmarks and evaluations, red-teaming frontier LLMs, agents, and multimodal systems, publishing at top venues (NeurIPS, ICML, IEEE S&P), and translating research into product guardrails. On-site in Ramat Gan with international travel.
Системный аналитик
Разрабатывает требования и спецификации для ИИ-решений в юридической сфере, интегрирует их с backend и ML-командами, документирует процессы в Confluence и Jira.
Exciting Opportunity | Python GenAI & Agentic AI Lead | Coforge
Lead role at IT services firm Coforge building enterprise GenAI and agentic AI solutions in Python — LLM-powered apps (GPT, Claude, Gemini, Llama), LangChain/LangGraph, RAG pipelines, multi-agent frameworks (CrewAI/AutoGen), vector databases, and FastAPI/Flask APIs deployed in enterprise environments.
Senior Software Engineer - Frontend Architecture
Senior frontend engineer at Impact Analytics, a Series D AI company building retail merchandising SaaS. Day to day: design responsive, high-performance web apps in React.js, build reusable UI component libraries, integrate REST APIs, optimize performance, and ship features with Product, Design, and Backend teams in Agile sprints.
Junior Software Engineer
Junior software engineer building end-to-end product features across frontend, backend, and AI/LLM components — internal tools, dashboards, AI assistants, APIs, and automation workflows. Uses React/Vue/Angular, Python/Go/Java/Node.js, and AI coding tools like Cursor and Copilot.
Engineering Manager - SaaS Platform
Leads and grows engineering teams building Python-based, cloud-native SaaS analytics platforms for global retail customers, owning delivery, architecture, reliability, and observability for mission-critical products. Core stack: Python/Java/C++, PostgreSQL, SQL, cloud platforms (GCP a plus).
Backend + AI Engineer
Builds scalable backend services and REST APIs in Python or Node.js/TypeScript with PostgreSQL, and integrates AI agent / agentic AI capabilities into production applications. Remote role in India (Pune), working 2:30-10:30 PM IST with US-based stakeholders.
Senior Software Engineer, Autonomous Systems (C2/Backend/Service)
Backend/service engineer on a product team building command-and-control and autonomy software for robotic and autonomous systems: cloud and edge services, real-time sensor data processing and messaging, and LLM/AI-agent integration. Backend stack includes Rust, Python, C++, or Java. Hybrid role based in Palo Alto.
Senior Software Engineer - Backend Development
Senior backend engineer in Bangalore building scalable Go-based backend services and APIs that power Android-first mobile apps with offline-first sync, distributed systems, and high transaction volumes; works with Mobile, Product, and DevOps teams, with GCP/Docker/Kubernetes experience preferred.
Lead Engineer - Full Stack Development - AI/GenAI
Lead full-stack engineer on an AI/GenAI team building enterprise applications in a regulated medical-device environment. Day to day spans Angular/TypeScript front ends, Python FastAPI back ends, PostgreSQL/Cosmos DB/MongoDB data, LLM workflows with LangChain/CrewAI, and Azure cloud/CI-CD work.
Associate Director, AI & Applied Solutions
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Director, AI & Applied Solutions based in the United States. The Associate…
Lead Software Engineer - Python Technologies
Lead Python backend engineer at Impact Analytics, an AI/LLM-driven retail merchandising SaaS company. Day to day: design, develop, and maintain scalable Python applications (Django/Flask/FastAPI, REST APIs), integrate multiple data sources, and work with caching, queues, search, and containerized microservices while leading a team.
Python Software Engineer
Senior Python engineer who designs and runs scalable backend services and APIs on AWS — building cloud-native solutions, CI/CD pipelines and Infrastructure as Code with Docker, Terraform/CloudFormation — with optional contributions to Generative AI/LLM solutions.
Senior Software Engineer, AI/ML
Senior software engineer on Google's generative AI quality team: builds and evaluates ML models (LLMs, NLP, computer vision) on large-scale user log data, creates data-processing/ML infrastructure, and translates research into product improvements. Core stack: Python, TensorFlow, large-scale data systems.
Software Product Engineer - Artificial Intelligence
AI-focused software engineer at in-tech (an Infosys-owned engineering services firm serving automotive/aerospace/industrial sectors) who uses AI coding assistants for code generation, refactoring, and testing, builds LLM-enabled and agentic AI applications (RAG, MCP orchestration), and delivers cloud-native microservices with CI/CD on Azure/AWS/GCP.
Solution Architect - Artificial Intelligence
Leads architecture and delivery of enterprise AI solutions — GenAI, LLM/RAG, and agentic systems — plus cloud-native platforms and legacy modernization for enterprise customers. Works with Java/Python, agent frameworks like LangChain/LangGraph, and AWS/Azure/GCP/Databricks at an engineering firm serving automotive, rail, aerospace, and defence sectors.
Ai Engineer (data & Agentic Ai)
AI Engineer designing agentic AI workflows with Claude/LLMs, building RAG solutions and AI-powered data products using Python, SQL and Power BI, plus data pipelines and dashboards. Office-based role in Johannesburg/Gauteng, South Africa.
Data Engineer / Scientist (advanced) Lm
Contract data engineer/scientist (until Dec 2026) based in Pretoria, building data science solutions, MLOps pipelines, and computer-vision algorithms for detection/segmentation/classification, plus evaluating LLM outputs and Big Data infrastructure using Python, SQL, R, Terraform, Qlik and AWS Quicksight. Open only to SA citizens/permanent residents.