Role Description We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), United States (US). The ideal candidate will have a strong background in implementing AI models, analyzing and improving existing AI architectures, and providing expertise on AI capabilities and systems. The person will work closely with our AI team, software engineers, and business stakeholders to create AI-driven solutions that meet our company’s business needs and goals. Responsibilities - Designing, developing, and implementing AI models - Analyzing and improving existing AI architectures - Researching and implementing new AI technologies and methodologies - Working with data scientists and other stakeholders to understand business needs and goals - Ensuring the AI systems are aligned with the company’s business strategy - Providing expertise and guidance on AI capabilities and systems - Ensuring that all AI initiatives follow compliance and regulatory requirements - Collaborating with other teams to implement and improve AI functionality Qualifications - Minimum 3 to 5 years of experience in AI and related domains - Minimum 3 to 5 years of experience conceptualizing and architecting the target environment for AI solutions - Minimum 3 to 5 years of experience supporting professional services sales cycle including proposal development, RFP responses, and account expansion initiatives - Bachelors in Computer Science or equivalent work experience Requirements - 5+ years experience in hands-on software development of highly technical products - Past experience in Software Development or other similar hands-on development roles at or above the level of Senior Software Engineer - Experience crafting and tailoring a message for potential customers, including executives - Degree in Computer Science or related field, or equivalent professional experience - AI-related experience (experience developing code based AI agents such as conversational AI agents a plus) - Experience with React, Typescript, and Go - Past roles that interface with end customers to influence software development - Engineers should be highly experienced in ReactJS and Typescript, comfortable with VCS using Git, and other standard engineering workflows - Working understanding of LLMs and writing API integrations in Typescript - Comprehensive understanding of React JS, especially core concepts/philosophies of developing with React and front-end frameworks Benefits - Flexible work arrangements - Access to a robust ecosystem of innovation centers - Opportunities for professional growth and development

Role Description We are seeking an experienced Integration Engineer to design, implement, and maintain integrations for AI Agentic solutions. The role focuses on connecting AI agents, LLM-based systems, and multi-agent orchestration platforms with enterprise applications, data sources, and external systems to deliver end-to-end intelligent automation solutions. Key Responsibilities - Design, develop, and maintain integrations between AI agents and enterprise systems. - Build secure, scalable APIs and event-driven integrations. - Integrate AI agent workflows with business applications, data platforms, and cloud services. - Collaborate with AI engineers, platform teams, and solution architects. - Ensure high availability, reliability, and performance of integration layers. AI Agentic Integration Responsibilities - Enable communication between autonomous and semi-autonomous AI agents. - Integrate LLM-based agents with tools, APIs, and external services. - Support agent orchestration, human-in-the-loop workflows, and decision pipelines. - Implement observability, logging, and traceability for agent interactions. Qualifications - 5+ years of experience in integration engineering or middleware development. - Experience integrating complex distributed systems. - Strong understanding of system design, APIs, and data formats (JSON, XML). - Experience working in Agile and DevOps environments. Requirements - Strong experience with REST, GraphQL, and event-driven APIs. - Experience with messaging and streaming platforms (Kafka, SNS/SQS, RabbitMQ). - Familiarity with AI/ML and GenAI systems integration (LLMs, RAG pipelines). - Experience with cloud platforms (AWS, Azure, or GCP). - Proficiency in at least one programming language such as Python, Java, or Node.js. Benefits - This role offers an opportunity to work on cutting-edge AI Agentic solutions and build the connective tissue between intelligent systems and enterprise platforms, enabling scalable automation and innovation.

Role Description We are looking for an experienced AI Engineer – Tech Lead to lead the design, development, and deployment of scalable AI/ML and Generative AI solutions. This role combines deep technical expertise with strong technical leadership, guiding teams to build production-grade AI systems that deliver measurable business impact. Key Responsibilities - Lead end-to-end design and implementation of AI/ML and Generative AI solutions. - Own AI system architecture including model lifecycle, pipelines, and inference services. - Review code, models, and architectures to ensure quality, scalability, performance, and security. - Mentor and guide AI engineers and data scientists. - Define engineering best practices and MLOps standards. AI & ML Engineering Responsibilities - Design, train, fine-tune, and deploy ML, DL, and LLM-based models. - Build pipelines for data ingestion, preprocessing, training, and evaluation. - Implement prompt engineering, RAG pipelines, and agentic workflows. - Optimize models for accuracy, latency, and cost. System Design & Architecture - Architect cloud-native, scalable AI solutions. - Integrate AI systems with enterprise platforms, APIs, and data sources. - Ensure security, privacy, compliance, and governance requirements are met. MLOps & Production Readiness - Lead CI/CD for ML systems. - Implement model versioning, monitoring, and drift detection. - Drive observability and reliability of AI services. Qualifications - 8+ years of software engineering experience with 4+ years in AI/ML. - Proven experience in a Tech Lead or senior technical role. - Strong Python programming skills. - Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. - Experience with cloud platforms (AWS, Azure, or GCP). Requirements - Experience with Generative AI, LLMs, and agent-based systems. - Knowledge of AI ethics, explainability, and bias mitigation. - Master’s degree or higher in Computer Science, AI, or related fields. Soft Skills - Strong technical leadership and ownership mindset. - Excellent communication and stakeholder management skills. - Passion for mentoring and team development. Benefits - You will lead cutting-edge AI initiatives, influence technical strategy, and work on impactful AI-driven products with high-performing teams.

• Desenvolver aplicações baseadas em LLMs para análise e processamento de dados não estruturados. • Construir pipelines de processamento de documentos (ingestão, parsing, chunking e transformação). • Implementar soluções de RAG (Retrieval-Augmented Generation) com foco em qualidade e performance. • Desenvolver e evoluir APIs e serviços backend para aplicações de IA. • Automatizar workflows utilizando agentes e/ou pipelines determinísticos. • Trabalhar com dados reais, lidando com inconsistências e edge cases. • Colaborar com times de produto e design na construção de soluções aplicadas.