Role Description We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone who doesn't just build, but defines the architecture of how global enterprises adopt agentic workflows. You will serve as a strategic consultant and technical lead, helping regulated industries and Fortune 500 clients transition from traditional development to AI-augmented engineering productivity. Qualifications - 5+ years of professional full-stack software engineering experience. - Advanced English is required. - Successful completion of a four-year college degree is required. - Expertise in building agentic AI workflows and autonomous AI systems. - Hands-on experience utilizing Claude Code and modern LLM platforms (Anthropic Claude, OpenAI). - Strong history of developing AI-powered web applications using React, Next.js, JavaScript, and TypeScript. - Extensive experience building backend services and APIs with Node.js or Python. - Track record of productizing early-stage Generative AI prototypes into scalable, production-ready MVPs. - Solid understanding of cloud-based architectures on AWS and containerization tools such as Docker. - Well-versed in database management systems, including PostgreSQL and MongoDB. - Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. - Capable of working with GraphQL, microservices, or event-driven systems in fast-paced environments. - Ability to work through new and difficult issues and contribute to libraries as needed. - Ability to create and maintain continuous integration and delivery of applications. - Forensic attention to detail. - A positive mindset and a can-do attitude. - Experience working on Agile/Scrum teams. - Meaningful experience working on large, complex systems. - Ability to take extreme ownership over your work. - Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them. - Ability to consistently work 40 hours per week. Benefits - Competitive Salary. - Paid Time Off (vacation, sick leave, parental leave, and holidays). - 100% remote work. - The ability to work with leading startups and Fortune 500 companies. - Health, dental, and vision insurance. - 401(k) w/ 4% match. - Ample opportunity for career advancement. - Continuing education opportunities.

Role Description WEX operates across multiple lines of business, Mobility, Benefits, and Travel, serving enterprise customers globally with payment and technology solutions that demand uncompromising reliability. This person will define and enforce the reliability standards, operational practices, and architectural guardrails that every line of business at WEX must meet, using AI as a primary tool to establish, scale, and continuously improve those standards. - Define, publish, and enforce enterprise-wide SRE best practices and operational standards covering observability, incident management, resilience, capacity planning, and reliability architecture. - Define and lead WEX’s AI-Powered Reliability Engineering strategy. - Architect and oversee the implementation of mission-critical systems. - Establish and govern SLO, SLI, and error budget frameworks across LOBs. - Own the production readiness review process. - Serve as the primary technical advisor to engineering leadership across WEX. Qualifications - 12+ years in SRE, platform engineering, or distributed systems. - Deep practical expertise across observability, incident management, resilience engineering, and capacity planning. - Experience with high-availability, low-latency systems. - Demonstrated experience using AI tools to solve real reliability problems. - Proven ability to define and enforce technical standards across multiple engineering teams. - Experience designing self-healing and auto-recovery mechanisms in production distributed systems. - Strong background in cloud cost optimization. - Excellent written and verbal communication skills. Requirements - Experience in payments, fintech, fleet technology, or benefits administration. - Experience building or maturing an SRE practice across a multi-product or multi-LOB organization. - Familiarity with AI-native observability or AIOps platforms. - Background in chaos engineering and controlled failure experimentation. - Experience with systems requiring strict transactional consistency. - Proficiency with Kubernetes, service mesh, and OpenTelemetry-based observability stacks. - BS/MS in Computer Science, Engineering, or equivalent practical experience. Benefits - Health, dental, and vision insurances. - Retirement savings plan. - Paid time off. - Health savings account. - Flexible spending accounts. - Life insurance. - Disability insurance. - Tuition reimbursement. - Quarterly or annual bonus based on role and applicable plan. Pay Range $200,600.00 - $250,400.00

Role Description Are you passionate about leveraging AI to transform global industries? Do you have a proven track record of working with LLMs and building agentic solutions? Join Elixirr Digital as a Lead AI Engineer, where you will drive innovation and help shape the future of intelligent systems for clients across industries like banking, insurance, healthcare, telecommunications, consumer goods, and more. What will you be doing as a Lead AI Engineer at Elixirr Digital? - Design and Implement Solutions: Architect, design, and develop advanced AI systems with a focus on LLMs and agentic solutions that transform enterprise workflows. - Lead and Collaborate: Lead teams, mentor junior engineers, and collaborate with cross-functional experts to deliver AI-driven innovations. - Drive Innovation: Work on a mix of internal R&D projects and enterprise-level solutions, building and optimizing tools for both internal and client use. - Deploy at Scale: Develop and maintain production-ready AI solutions, ensuring scalability, performance, and reliability. - End-to-End Lifecycle: Own and contribute to the entire AI development lifecycle—from research and prototyping to deployment and monitoring. - Deliver Tangible Outcomes: Help global enterprises achieve measurable impact through solutions like underwriting agents, airport assistants, pharmacy workflow optimizers, and customer due diligence systems. Qualifications - Have Experience with LLMs: Hands-on experience working with LLMs, with demonstrated expertise in building and deploying agentic solutions using frameworks such as LangChain, AutoGen, Crew, or Swarm. - Bring Technical Expertise: Solid background in programming and past experience in machine learning, with a deep understanding of at least one area such as deep learning, reinforcement learning, fine-tuning, or model development. - Think Strategically: Ability to design and lead AI solutions while also contributing directly to development. Excellent problem-solving, analytical, and critical thinking skills, with a proficiency in applying mathematical principles to analyze, model, and solve complex problems. - Focus on Outcomes: Passion for transforming businesses and delivering measurable results through AI. - Collaborate Effectively: Experience working in cross-functional teams, balancing R&D and production-level work. - Are Innovation-Driven: Stay ahead of AI trends, continuously innovate by building and refining tools for internal and client use, and actively apply cutting-edge research to improve processes and develop scalable, impactful solutions. Requirements - Proven track record of leading AI projects from concept to deployment. - Strong understanding of the AI development lifecycle, with deep expertise in at least one part of the process. - Examples of deployed AI systems demonstrating agentic capabilities. Benefits - Global Impact: Work with top-tier clients across industries, solving real-world challenges with transformative AI solutions. - Cutting-Edge Innovation: Develop and deploy AI tools and platforms that redefine what’s possible in enterprise AI. - Collaborative Culture: Join a team of innovators passionate about advancing AI while fostering a collaborative, inclusive environment. - Diverse Projects: Tackle a wide range of AI applications—from NLP to reinforcement learning—for use cases as varied as field support for telecom workers and optimizing customer workflows in banks. - Compensation & Equity: Individually tailored benefits package, performance bonus, employee stock options grant, employee share purchase plan (ESPP), competitive compensation. - Flexibility & Balance: Flexible working hours and remote work, multi-sport card, full medical checkup. - Projects & Tools: Big clients and interesting projects, cutting-edge technologies. - Learning & Growth: Learning and development budget, growth and development opportunities. - People-Centered Perks: Referral bonus, anniversary bonus.

Role Description SoftClouds LLC is looking for an experienced Senior AI Engineer with a strong background in Python, React, LangChain, LangGraph, AWD Bedrock, and Azure Foundry. The ideal candidate will have a proven track record in developing and deploying advanced AI solutions and a passion for driving innovation in the field. - Design, develop, and implement GEN AI products, AgentiC AI, predictive analytics, and algorithms using Python and related libraries. - Collaborate with cross-functional teams to integrate AI solutions into existing systems using React and LangChain. - Utilize LangGraph for efficient data processing and analysis. - Leverage AWD Bedrock and Azure Foundry for scalable and reliable AI solution deployment. - Conduct research and stay up-to-date with the latest advancements in AI technologies. - Troubleshoot and optimize AI models to improve performance and accuracy. - Mentor and guide junior engineers in best practices and advanced AI techniques. - Implement algorithms for processing, analyzing, and understanding textual data, ensuring high performance and scalability. - Focus on essential tasks like data manipulation, regular expressions, and data parsing using Python libraries such as Spacy, LlamaIndex, LangChain, and Regex. - Integrate with pre-built NLP models, ensuring efficient model usage for tasks like Text Generation, entity recognition, text classification, and text summarization. - Write reusable Python code following best practices for quality, modularity, and performance. - Collaborate with teams to gather requirements and deliver Python-based solutions for business needs. - Optimize Python code to ensure efficiency, scalability, and minimal resource usage in production. - Use Git for version control, managing Python code updates, and collaborating with team members. - Research new libraries and tools to improve Python-based systems and workflows. - Solve complex problems efficiently, adapting to new challenges and evolving requirements. - Maintain clear documentation for all Python applications, ensuring clarity and ease of use. Qualifications - Extensive experience in Python programming and AI development, working with various Python libraries and tools. - Proficient in libraries like TensorFlow, PyTorch, spaCy, NLTK, and Hugging Face to build, train, and fine-tune NLP models for tasks and React for front-end development. - Hands-on experience with LangChain and LangGraph. - Familiarity with AWD Bedrock and Azure Foundry for AI deployment. - Strong problem-solving skills and the ability to work collaboratively in a team environment. - Experience with large datasets, handling, processing, and optimizing data workflows in Python. - Strong understanding of software development processes and methodologies like Agile and Git. - Write clean, modular, reusable code with focus on quality, scalability, and performance. - Experience using version control for collaborative development and code management. - Excellent communication skills for explaining complex technical concepts to both technical and non-technical teams. - Detail-oriented with a focus on writing error-free, high-quality Python code. - Adapt quickly to new technologies and take ownership of learning opportunities. - Knowledge and experience of working with Large Language Models specifically OpenAI Models. - Knowledge and experience of working with OpenSearch/Elasticsearch. - Knowledge/experience in Vector Database, Vector Search, Retrieval Augmented Generation (RAG), Chunking and Splitting. - Knowledge and experience in designing various prompts (Prompt Engineering). - Excellent communication skills and the ability to explain complex AI concepts to non-technical stakeholders.