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Builds and deploys AI/ML and agentic systems as a Senior Engineer, focusing on robust backend APIs, production-grade pipelines, and cross-team collaboration to integrate AI solutions.
hackajob is collaborating with Rentokil Initial to connect them with exceptional professionals for this role. As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge,…
AI/ML Engineer II 3-8 Years Experience JOB SUMMARY We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team. The ideal…
Role: GenAI Lead Engineer Experience: 8+ years total (with significant hands-on GenAI / LLM work) Job Overview: We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the…
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Build and ship AI-native backend services using agentic coding tools, Kubernetes microservices, and cloud infrastructure for a cybersecurity platform handling real-time file traffic.
The Architect will lead the design and development of JAGGAER's next-generation AI and agentic platform, integrating LLMs, multi-agent systems, and MLOps into their procurement and supply chain software. This strategic role requires deep technical expertise in full-stack engineering, AI frameworks, and cloud-native architecture to drive autonomous workflows.
Develop and deploy ML/DL models and generative AI systems (RAG, agentic AI) for an automotive client in Pune, using Python and Azure OpenAI in an Agile, cross-functional team.
Lead the architecture and implementation of enterprise-scale AI systems combining generative AI, autonomous agents, and knowledge graphs using Python, LLM frameworks, and graph databases like Neo4j or Amazon Neptune.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
The AI Architect designs and implements scalable, secure, and enterprise-ready AI and Agentic AI architectures. They collaborate with cross-functional teams to bridge the gap between experimentation and production using cloud ecosystems, MLOps tools, and modern AI frameworks.
Design and deploy LLM-powered validation pipelines and AI integration solutions within NVIDIA's Silicon Co-Design Group, using Python, static languages (C/C++/Java), and AI/ML frameworks to modernize semiconductor design and automation infrastructure.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
The Data Engineer Senior Manager leads the design and delivery of enterprise-scale data and AI solutions, including lakehouse architectures and generative AI applications. This role involves mentoring technical teams, driving digital transformation, and managing client relationships within a global advisory practice.
The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
The Senior Software Engineer will design and build large-scale distributed platforms for observability, automation, and AI-driven reliability. The role involves developing platform services and telemetry systems to support infrastructure operations across storage, compute, and networking domains.
The Senior AI Engineer will design and deploy production-grade autonomous agents and multi-agent systems for financial institutions using Python, LLMs, and AWS. The role focuses on building reusable agent architectures, integrating enterprise tools, and implementing MLOps practices for long-running AI workflows.
Staff-level, hands-on engineering leadership role at BP designing and delivering end-to-end data and AI solutions—including data pipelines, lakehouse architectures, and LLM/RAG-based applications—using Python, SQL, and distributed data platforms.
Senior AI Engineer at PwC Greece's Process Excellence & Intelligence team in Athens, building and deploying agentic AI systems, RAG pipelines, and ML models to optimize client operations using Python, PyTorch/TensorFlow, and Azure/AWS/GCP.
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