🚀 We’re Growing Our Development Dream Team! Titles? Meh, we’re not big on them, but let’s call this one Senior Software Engineer 😉 As part of our Development squad, you’ll craft tailor-made solutions that wow our clients. We’re looking for a passionate Senior Software Engineer (.NET & Azure) who combines deep technical expertise with a modern engineering mindset, leveraging AI‑assisted development tools to accelerate delivery without compromising excellence. Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning. Here’s the deal: - You’ll tackle the unique challenges of software development with best practices alongside a team of brilliant minds. - You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact. - Whether you prefer working from home or vibing with us at our offices, the choice is yours. - AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check.   Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen! 😊 You will be responsible for: - Design and lead end-to-end software engineering solutions in cloud environments. - Develop projects from scratch with minimal supervision and strong team collaboration. - Guide teams and ensure high-quality delivery. - Leverage AI-assisted development tools such as GitHub Copilot, Copilot agents, and Anthropic-based solutions. - Choose the appropriate model and approach for each use case, balancing quality, speed, and cost. - Design and maintain reusable prompts, instructions, and workflows to standardize AI usage across projects. - Contribute to the adoption of modern engineering practices combining AI capabilities with strong quality and review processes. - Ensure best practices in software quality, security, and scalability. - Translate business needs into clear technical specifications, following a spec-driven development approach. - Mentor other engineers and promote technical excellence. - Participate, review, help and take care of the projects where your teammates are involved. - Build scalable pipelines using a variety of technologies. - Be up to date with the latest tools and technologies in the market.

Role Description Estamos em busca de um(a) Desenvolvedor(a) / Arquiteto(a) de Inteligência Artificial para liderar o desenho e implementação de soluções avançadas de AI, além de atuar diretamente no desenvolvimento de um ERP proprietário da companhia, integrando inteligência e automação aos processos de negócio. Modelo de contratação: 100% remoto, Contratação PJ Responsabilidades - Projetar e implementar arquiteturas de Inteligência Artificial escaláveis para uso corporativo - Desenvolver e evoluir o ERP da empresa, garantindo integração com soluções de AI e automação de processos - Integrar soluções de AI aos módulos do ERP e outros sistemas corporativos - Liderar iniciativas de automação de processos utilizando AI - Avaliar, selecionar e implementar ferramentas e frameworks de AI - Trabalhar em conjunto com times técnicos e de negócio para identificar oportunidades de automação e melhorias no ERP - Garantir boas práticas de arquitetura, segurança, performance e escalabilidade Qualifications - Experiência sólida em desenvolvimento de sistemas ERP - Conhecimento avançado em arquitetura de soluções de AI (LLMs, automação, pipelines de dados, etc.) - Experiência com desenvolvimento de sistemas complexos e integrações via APIs - Capacidade de estruturar soluções escaláveis e resilientes - Inglês avançado (obrigatório) Requirements - Experiência na construção de ERP do zero ou evolução de sistemas legados - Experiência com automação de processos empresariais (RPA, workflows inteligentes) - Vivência com cloud (AWS, Azure ou GCP) - Conhecimento em engenharia de dados e MLOps - Experiência liderando projetos ou definindo arquitetura Profile Desired - Pensamento estratégico e visão de arquitetura - Autonomia e senso de dono - Facilidade de comunicação com áreas técnicas e de negócio - Proatividade na identificação de melhorias e oportunidades #LI-Remote

Summary As an AWS with GenAI Engineer (Python, GenAI, AWS Cloud) at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development and does not include handling or processing of sensitive health information. Your role in our mission - Architect and maintain AWS demo environments using services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue. - Develop Python-based solutions leveraging libraries like NumPy, Pandas, Scikit-learn, and others for data processing and automation. - Build and manage Terraform modules for automated provisioning, environment resets, and decommissioning. - Integrate AWS GenAI services (Bedrock, SageMaker) for real-time demo enrichment and scenario automation. - Collaborate with Demo COE and Product SMEs to design and implement custom demo flows. - Implement RBAC, feature toggles, and configuration management using AWS Systems Manager and AppConfig. - Ensure environmental health through automated monitoring, alerting, and load testing (CloudWatch, ALB, X-Ray). - Support automated QA gates, metrics collection, and post-demo knowledge management. - Provide secondary support for data engineering tasks (AWS Glue, Redshift, Athena) for ingestion and transformation. - Contribute to hybrid cloud demos and integrations with Azure as needed. What we're looking for - 5+ years of experience in AWS engineering and Python development. - Strong proficiency in Terraform for AWS Infrastructure as Code. - Hands-on experience with GenAI or ML services (Bedrock, SageMaker, Lambda). - Familiarity with CI/CD pipelines, containerization (Docker), and orchestration (ECS/Fargate). - AWS Certification (Solutions Architect, DevOps Engineer, or equivalent) preferred. - Excellent problem-solving skills and ability to work in a fast-paced environment. What you should expect in this role - Fast-paced, challenging and rewarding work environment. - Work life balance. - Remote working.

About Us Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential. Job Description - We are looking for a full-stack associate to design, configure, and deploy AI Agents and intelligent automation solutions on an enterprise-grade Automation Anywhere GenAI platform while leveraging RAG (Retrieval-Augmented Generation) as the knowledge foundation for the Automation Anywhere Enterprise Knowledge Base (EKB). - Full-stack knowledge of candidate will be used to integrate upstream full stack bots/APIs and downstream AAA Enterprise RPA Gen1, Gen2 (DocAI), and Gen3 (GenAI) bots, and vice versa. - The Associate will define RAG success criteria (retrieval accuracy, hallucination thresholds) and KPIs; inventory knowledge sources (documents, databases) as an Enterprise Knowledge Base. - Data sourcing plan and design end-to-end Agent flows covering triggers, KB retrieval, LLM calls, and actions. - KB structure (chunking, fine-tuning) will be defined and built using EKB. Prototype prompts and Agents will be developed to produce functional test Chat/Agent prototypes. - Agents and Prompts will be configured with a selected LLM (Gemini/GPT-4) to generate Agent configurations and prompt templates. Downstream API tasks (RPA steps/external calls) will be integrated, followed by UAT deployment (publish Agent/KB). - Upon successful UAT, the solution will be published to Production via the Production Control Room, with BOT/Agent monitoring as part of Hypercare. Qualifications - Education: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or equivalent practical experience. - Experience: 1-3 years in software engineering; 1+ years building AI-powered automation solutions in production. - Certifications (Preferred): Cloud AI certifications (AWS, Azure, GCP); RPA certifications such as UiPath or Automation Anywhere. - Scope & Growth Path: Implement designs under Senior Engineer guidance; progress toward independent stakeholder ownership. Agentic AI - Hands-on experience with LangChain, LangGraph, AutoGen, or CrewAI. - Core agent patterns: tool usage, memory, multi-step reasoning, validation and guardrails. - LLM APIs: OpenAI, Anthropic, Gemini, or open-source models; structured prompt engineering. RAG & Vector Infrastructure - End-to-end RAG pipelines: ingestion, chunking, embedding, vector stores, and retrieval evaluation. - Hands-on with vector databases; ability to diagnose and improve retrieval quality. RPA - Hands-on with UiPath, Automation Anywhere, or Microsoft Power Automate. - Bot workflows with exception handling, logging, and enterprise system integrations. Engineering - Strong Python skills; experience with cloud AI services, APIs, data pipelines, and event-driven systems. Nice to Have - Exposure to LoRA / QLoRA fine-tuning approaches. - Agent observability and evaluation tooling such as LangSmith or Arize. Responsibilities - Build and maintain multi-agent workflows from solution design through production deployment. - Implement root-cause analysis, ERP/CRM/ITSM integrations, and robust error handling. - Design and operate end-to-end RAG systems; continuously monitor and improve retrieval quality. - Develop and maintain RPA tasks; integrate AI agents with RPA and business logic. - Write unit and integration tests; contribute to CI/CD pipelines and deployment automation. - Collaborate with senior engineers; document pipelines, agent configurations, and operational runbooks. All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.