Nagarro seeks a Python developer to design, develop and deploy AI-powered applications focusing on Generative AI and Agentic AI. Responsibilities include integrating LLMs and AI services, building autonomous agent workflows, implementing retrieval pipelines and prompts, and ensuring performance, scalability and reliability. Desired experience includes Python, LLM-based application development, agent frameworks (LangChain/LangGraph/CrewAI/AutoGen or similar), prompt engineering, RAG, vector databases and familiarity with Elasticsearch, cloud platforms, containerization and MLOps practices.

Nagarro is hiring a Python developer to design, develop, and deploy Generative AI and Agentic AI applications. Responsibilities include building LLM-based solutions, orchestrating autonomous agents (using frameworks like LangChain, LangGraph, CrewAI, AutoGen), implementing RAG and retrieval pipelines, integrating with external APIs and enterprise systems, and optimizing for performance and scalability. Experience with Elasticsearch, vector databases, cloud platforms, containerization, and MLOps is noted as desirable.

Join a development team to design, build, and ship LLM-powered features in a large-scale production application. The role spans backend services, REST APIs (FastAPI), LLM systems (retrieval, RAG, agents, evaluation), and multi-agent production deployments. Candidates should have strong Python expertise, hands-on experience with major LLM model APIs (OpenAI, Anthropic), vector databases/semantic search, event-driven architectures, and daily use of AI-assisted/agentic coding tools.

Hands-on senior staff engineer role working with LLMs and agentic coding tools to build, refactor, and ship production generative solutions. Responsibilities include developing Python-based REST APIs (FastAPI), designing RAG systems (vector DBs, semantic search, chunking), using OpenAI/Anthropic APIs, building and securing MCP servers, implementing event-driven architectures and messaging, and applying prompt engineering, monitoring, and evaluation practices. Requires 2+ years with LLMs and 8+ years developing Python APIs.

GitHub is hiring a Machine Learning Engineer to build and operate scalable ML and agentic systems (leveraging large language models) for trust & safety use cases including fraud, spam, and abuse detection. Responsibilities include model evaluation, production deployments on cloud platforms (e.g., Azure AI Foundry), cross-functional collaboration, and identifying product vulnerabilities. Minimum qualification paths include multi-year ML experience or relevant degrees.

Veeva is hiring a Senior Data Scientist to design methodologies and models addressing complex healthcare data challenges (claims, EHR, lab, specialty pharmacy). Responsibilities include applying statistics, ML, NLP, and data-mining at scale, prototyping solutions, collaborating with product and engineering to productionalize models, and building monitoring and anomaly detection. Requires 4+ years hands-on data science or 2+ years with a Ph.D., fluency in Python, and experience with large-data frameworks (e.g., Spark).

Grafana Labs is hiring a Staff AI Engineer to design, prototype, and ship AI-driven observability features (LLMs, agent workflows, GenAI) that help detect, triage, and resolve incidents. Role emphasizes production software delivery, rapid experimentation, cross-functional collaboration, and cloud-native deployment. US base salary range: USD 174,986–220,000.

Grafana Labs is hiring a Staff AI Engineer (remote, applicants in Canada only) to develop, prototype, and ship AI- and LLM-powered observability features and agentic workflows. The role emphasizes production software delivery, experimentation, collaboration with cross-functional teams, and experience with cloud-native environments, observability tools, and LLM/GenAI technologies.

Senior Solutions Architect role partnering with universities and research institutes to architect and optimize HPC and AI solutions on NVIDIA accelerated platforms for computational physics, multiphysics simulation, engineering design exploration, and scientific foundation models. Requires 8+ years in accelerated computing/GPU and strong Python and C++ skills. Travel up to 20%. Salary range stated: 184,000–287,500 USD/year.

Vertex seeks an AI Product Engineer to own the full lifecycle of AI-native enterprise products: discovery, UX/UI design, full-stack development, and production deployment. Role focuses on integrating generative AI/LLMs, creating human-in-the-loop and decision-support workflows, and delivering enterprise web applications. Requires a portfolio of AI-powered products or demos. Target experience 0–3 years; US base salary range $104,900–$136,400/year.

The Home Depot is hiring a Senior Software Engineer for Applied AI Acceleration to design, build, and scale enterprise-grade multi-agent AI systems and orchestration layers for marketing operations. Responsibilities include industrializing AI use cases, implementing model governance and observability, building RAG/vector DB solutions, integrating AI agents with MarTech/data systems, and mentoring engineers. Minimum 3 years' relevant experience. Travel: none. Posted pay range (for listed US locales) $80,000–$180,000 per year.

NVIDIA seeks a Senior AI Compute Engineer to join the NVIDIA Infrastructure Specialists team to deploy, manage and maintain AI factory systems. Responsibilities include customer-facing planning and implementation, handover documentation, and providing feedback to internal teams. Requires 8+ years of data-center deployment/support experience, strong Linux administration, data-center networking and monitoring knowledge, and excellent English communication skills.

The AI GTM Manager will define the AI GTM workflow roadmap, personally design and deploy high-priority workflows (prompt design, retrieval, orchestration, automation), establish governance and reuse standards, measure adoption and impact, and lead a small team to scale AI-enabled go-to-market execution across marketing and revenue functions. Requires 7+ years' relevant experience and strong hands-on workflow engineering and people leadership skills.

Senior Power Platform Engineer responsible for spearheading Microsoft Copilot and Azure AI implementations across enterprise applications, developing low-code solutions using Power Apps/Power Automate/Power BI/Power Pages, integrating SharePoint and Microsoft 365 content, and leveraging Azure AI services (Cognitive Services, ML, Bot Services). Requires 6+ years' software development experience and experience with Agile.

Embedded, client-facing role requiring AI fluency and full-stack prototyping skills (LLMs, agents, prompts, APIs, orchestration). Responsibilities include identifying AI-driven opportunities, designing and validating proofs of concept, driving solutions to production, and supporting change management and adoption. Role is 100% remote and paid in USD.

Forward Deployed Expert to partner with client stakeholders to identify AI opportunities, design and build prototypes using LLMs, prompts, agents and APIs, and drive solutions from discovery to production with governance, evaluation, and change management. Requires senior client-facing experience, technical fluency with AI tools, and strong stakeholder and communication skills. Advanced English required. 100% remote.

Forward Deployed Expert (FD/X) — senior, AI-fluent, full-stack operator embedded with client teams to identify AI use cases, design and prototype LLM- and agent-based solutions, validate proofs of concept, and define pathways to production. Requires stakeholder management, consulting experience, change management, and the ability to translate business needs into scalable technical solutions. Role is 100% remote and requires advanced English.

Forward Deployed Expert responsible for partnering with stakeholders to identify AI opportunities, design and build prototypes using LLMs, prompts, agents and APIs, and drive solutions from discovery through production and adoption. Requires senior client‑facing experience, strong AI technical fluency, consulting and change‑management skills. Role is 100% remote; compensation paid in USD.

Forward Deployed Expert embedded within client teams to identify AI-driven opportunities, design and prototype solutions using LLMs, agents, prompts and APIs, and drive projects from discovery to production and adoption. Requires senior client-facing consulting experience, technical fluency with AI technologies, and expertise in change management and stakeholder engagement. Role is fully remote and targets candidates in Latin America.

Twilio is hiring a Tech Lead (P6) in Emerging Technologies to lead hands-on prototyping and build production-ready AI/ML and full-stack solutions for the Twilio Forward incubation lab. The role requires 10+ years of full‑stack software development experience, proficiency in languages such as JavaScript, Python, Java or Go, experience with front-end (React/Angular) and/or back-end (Node.js/Springboot) frameworks, and familiarity with SQL/NoSQL, cloud platforms (AWS/Azure), and LLM/AI-assisted development practices.