Results for "AI Engineer"

[Job-29481] Senior AI Developer, Brazil

CI&T is looking for a Senior Generative AI Engineer to join the Customer Delivery team. The person will work embedded within strategic client projects, helping companies adopt and operationalize Generative AI solutions in real production environments. Requirements Experience in software engineering and modern distributed systems Hands-on experience with Generative AI solutions in production environments Experience building RAG pipelines, embeddings, vector databases, and prompt engineering solutions Experience integrating and consuming LLM APIs such as OpenAI, Claude, Gemini, or similar Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar solutions Experience building or integrating AI agents and AI-assisted development workflows Knowledge of backend development using Node.js, Python, Java,.NET, or similar languages Knowledge of APIs, REST services, contracts, and versioning Experience with distributed systems, microservices, and even

AI Engineer (F/M) - Remote

We are seeking a motivated and detail-oriented individual to join our Inspection back-office team, analyzing core back office processes, brainstorming ideas, and implementing solutions to enhance operations efficiency. Requirements Solid understanding and practical experience with AI/ML technologies, data handling, and system integration. Strong problem-solving skills, with the ability to work collaboratively in a multicultural and fast-moving environment. Fluent in English; additional languages are a plus. Benefits Generous Paid Time Off 401k Matching Retirement Plan Four Day Work Week Generous Parental Leave Tuition Reimbursement Relocation Assistance Originally posted on Himalayas

AI Engineer

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. AI Engineer Remote US Time Zones (EST–PST) Role Overview We are looking for a hands-on AI Engineer to design, build, and deploy intelligent systems across a range of client environments. This is a technically deep role suited to someone who thrives at the intersection of machine learning, software engineering, and product thinking. You will work across the full AI development lifecycle — from prototyping and model integration to production deployment and ongoing optimisation. The ideal candidate is fluent in modern AI tooling, thinks in systems, and can translate complex technical concepts into scalable, working solutions. Key Responsibilities Design and build AI-powered features, pipelines, and automation workflows from scratch Integrate and fine-tune LLMs, embedding models, and other ML systems into production applications Develop and maintain RAG pipelines, vector search systems,

AI Engineer - FDE (Forward Deployed Engineer)

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Location: Netherlands - Remote Req ID: CSQ327R197 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks . We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. Preferred locations (in priority order): London (UK)

Technical Lead, Data Modernization & AI Engineering

Your Impact: Design and implement contemporary data transfer methodologies that seamlessly loads data into a modern OLTP Leverage AI for faster migration, efficient data reconciliation, and smooth user transition Partner with internal collaborators and develop strong stakeholder relationships across architecture, security, networking, platform, and application teams Qualifications: 10 years of hands-on experience in application development. 8 + years of hand-on experience in languages and frameworks including Java or Python. 3+ years of backend service development, including RESTful API design and implementation. Practical experience integrating AI/ML solutions into data pipelines, complex migrations, and system reconciliation. Proven hands-on experience with Apache Kafka (installation, configuration, development). Familiarity with cloud platforms (AWS mainly) and containerization (Docker, Kubernetes) is a plus. Background in real-time analytics and event-driven architecture is prefer

Full Stack AI Engineer