jobs in the wild.

📍 Location: Bangalore 🏢 Work Model: Hybrid (2 days a week at office) 💼 Experience: 6-8 years 🔧 What you'll do: • Build production-grade AI applications, copilots, and multi-agent systems • Design RAG architectures, semantic search, and vector database solutions • Orchestrate intelligent agents with planning, reasoning, and tool usage • Apply context engineering: prompt design, memory, grounding, retrieval strategies • Build MCP (Model Context Protocol) integrations for secure access to enterprise tools • Create evaluation frameworks and AI observability (tracing, token tracking, dashboards) • Ensure security, governance, and responsible AI, including prompt injection protection ✅ What we're looking for: • 6-8+ years in software engineering with strong Python or Node.js • Hands-on experience deploying AI apps in production • Experience with agentic frameworks and workflow orchestration • Strong grasp of RAG, embeddings, and vector databases • Experience with Azure AI Foundry / Azure OpenAI or equivalent platforms • Understanding of AI evaluation, observability, and responsible AI • Strong communication and collaboration skills 📩 Interested? Send your resume to nimna.judy@wizr.ai or DM me directly. Please share your current CTC, expected CTC, and notice period #Hiring #AIEngineer #GenAI #LLM #RAG #AgenticAI #MCP #AzureOpenAI #Python #BangaloreJobs #opentowork #HybridJobs #Immediatejoiner

🚀 Want to shape the future of AI at ABB and work with cutting-edge technologies? Join us! We’re looking for a Senior Global Data & AI Specialist to join our Data & AI Platforms team at ABB — and this is an incredibly exciting time to become part of our journey! 🔥 This role combines global technology leadership with hands-on engineering. You’ll split your time between two exciting areas: 🌐 50% — Building the future of our Data & AI Platforms You’ll help define and establish global standards, blueprints and best practices for all users of our Snowflake and Azure platforms, including: 🤖 AI Governance and Agent-to-Agent communication 🔌 MCP Server architecture and integrations ⚙️ MLOps, AIOps and production-ready AI practices 📐 Reusable architecture patterns, engineering standards and scalable AI solutions 🚀 50% — Building real AI/ML solutions You’ll work hands-on with projects that turn innovative ideas into real business value, developing and deploying solutions using: 🧠 Machine Learning and predictive analytics ⚡ Generative AI, LLMs, RAG and AI agents ☁️ Microsoft Foundry and Azure AI/ML ❄️ Snowflake Cortex AI and Snowpark ML 🐍 Python, SQL and modern MLOps practices What makes this opportunity special? You won’t just consume technology — you’ll help define how AI is built, governed and operated across global enterprise platforms, while continuing to develop solutions yourself. If you’re passionate about AI/ML engineering, enjoy working with the latest technologies and want to make an impact beyond individual projects, this is your chance to help shape the future of enterprise AI at ABB! 🌍 📍 Possible locations: 🇮🇳 Bangalore, India — https://lnkd.in/dNCtNkdG 🇵🇱 Krakow, Poland — https://lnkd.in/dYYe2MCi 🇧🇷 São Paulo, Brazil — https://lnkd.in/dMMpcpMm 🇧🇦 Sarajevo, Bosnia and Herzegovina Know someone who would thrive in this role? Share this opportunity with them! #ABB #DataAndAI #MachineLearning #AgenticAI #AIGovernance #MLOps #AIOps #MCP #GenerativeAI #AzureAI #Snowflake #Hiring

📍 Remote | 🕒 5–8+ yrs | 💼 Full-time We’re looking for a hands-on engineer with deep graph database expertise to architect and optimize large-scale knowledge graph systems powering enterprise GenAI applications. What you’ll do: ▪ Build scalable knowledge graphs: entity extraction, relationship inference, entity linking, semantic enrichment, at billions of nodes ▪ Design graph-backed RAG systems and multi-hop reasoning ▪ Optimize Neo4j performance: Cypher, query planning, b-tree/full-text/HNSW indexing, traversal and caching ▪ Build distributed ingest pipelines with idempotence, state management, consistency and monitoring ▪ Evaluate and integrate graph DBs, vector stores, semantic search and LLM APIs What you bring: ‣ Neo4j, graph data modeling, and graph algorithms (PageRank, centrality, community detection, k-NN, link prediction) ‣ Data engineering: ETL/ELT, data lineage and quality, structured and unstructured data at scale ‣ SQL, NoSQL, and vector databases (ANN, HNSW) ‣ Azure: Functions, AKS, CosmosDB, Durable Functions, Service Bus, Event Hub, Event Grid, Synapse, Data Factory, Cognitive Search, Key Vault, RBAC ‣ IaC (Bicep, Terraform, ARM), distributed systems, event-driven and async architectures, microservices ‣ Python/Java, API design, observability (App Insights, ELK, Prometheus) ‣ GenAI: OpenAI, Azure OpenAI, Claude, prompt engineering, RAG, embeddings, inference and cost optimization ‣ 2+ yrs building Neo4j knowledge graphs and 2+ yrs deploying GenAI systems ‣ Master’s in CS, Engineering or Math (Ph.D. preferred) Nice to have: › Neo4j or Azure certifications (AZ-104, AZ-305, DP-900) › GNNs (PyTorch Geometric, DGL, GraphSAGE, Node2Vec), RDF/semantic web › Spark GraphX, Gremlin, sharding, and multi-tenancy at 100M+ nodes › Docker, Kubernetes, Helm › Open-source contributions 📩 Apply now or DM me | Refer someone great! 👇 #Hiring #KnowledgeGraph #Neo4j #GraphDatabase #GenAI #RAG