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AI Automation Engineer (RPA & Agent Development)

ID: 9509

Type: Full-time

Category: Others

Company Name: CG Infinity

Location: United States

Education Level: Senior (5-10 years)

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Job Description

We’re hiring a Senior AI Automation Engineer to lead the transition from legacy RPA workflows to intelligent, agent-driven systems. This is a hands-on role for someone who can design, build, and scale modern automation using agent frameworks and AWS-native services.


What You’ll Do

  • Lead migration of legacy RPA solutions into agent-based architectures.

  • Design and develop AI agents using LangGraph, Strands, or similar frameworks.

  • Build and deploy agent workflows on AWS (Bedrock, Lambda, Step Functions, API Gateway).

  • Orchestrate multi-step workflows with memory, state, and tool usage.

  • Integrate with enterprise systems (CRM, ATS, ERP, APIs, databases).

  • Improve reliability, observability, and cost efficiency of automation pipelines.

  • Partner with business and product teams to identify automation opportunities.


Must-Have Skills

  • 5–10 years of experience in software engineering, automation, or related roles.

  • Strong background in RPA (UiPath, Automation Anywhere, Blue Prism, etc.).

  • Hands-on experience with AWS (Bedrock, Lambda, S3, Step Functions, IAM).

  • Proven experience building or working with LLM-powered agents.

  • Experience with LangGraph, Strands, or similar orchestration frameworks.

  • Strong programming skills in Python (preferred) or JavaScript.

  • Solid understanding of APIs, event-driven systems, and workflow orchestration.


Certifications (Preferred to have one or more)

  • AWS Certified Solutions Architect – Associate or Professional.

  • AWS Certified Machine Learning – Specialty (highly valued).

  • AWS Certified Developer – Associate.

  • UiPath Certified Advanced RPA Developer or equivalent (nice to have).


Nice to Have

  • Experience transitioning from RPA to AI/agent-based automation.

  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).

  • Experience with observability tools (CloudWatch, Datadog, etc.).

  • Exposure to secure enterprise deployments (IAM policies, secrets management).

  • Background in building internal platforms or reusable automation frameworks.


Work Setup

  • 100% Remote (US-based)

  • No sponsorship available

  • Green Card holders or US Citizens preferred

Company Information

Company Name: CG Infinity

Company Website: https://cginfinity.in

Company Address: Chennai, Tamil Nadu, India

CG Infinity is a privately held technology company that operates as a software services and product engineering firm focused on delivering digital solutions to businesses. The company positions itself as a full‑stack technology partner for organizations seeking to design, build, deploy, and maintain modern software systems. Its portfolio emphasizes custom application development, cloud and infrastructure services, mobile and web platform engineering, and the delivery of enterprise integrations and APIs. CG Infinity works with clients across a range of business domains to deliver end‑to‑end software projects, from discovery and architecture through development, quality assurance, deployment, and ongoing support. Core business activities of CG Infinity center on application development and systems integration. The company typically offers requirements analysis and product discovery services to help clients define scope and technical approach, followed by architectural design and implementation of scalable backend systems, responsive web front ends, and native or cross‑platform mobile applications. In addition to greenfield development, CG Infinity commonly engages in modernization projects, migrating legacy systems to contemporary technology stacks and cloud platforms. Its engineering work frequently includes building RESTful APIs and microservices, implementing database solutions and data pipelines, and integrating third‑party services such as payment processors, identity providers, and ERP/CRM platforms. On the infrastructure side, CG Infinity provides cloud consulting and managed services that cover cloud architecture, platform selection, and operational practices. These services typically involve planning and executing cloud migrations, designing fault tolerant and auto‑scaling deployments, and applying DevOps practices such as infrastructure as code, CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring and observability. The company’s DevOps and SRE‑oriented offerings aim to improve release velocity, system reliability, and cost efficiency for production systems. CG Infinity’s product and feature development services are commonly augmented by UX/UI design, prototyping, and product management support. The company often employs iterative agile development methodologies, delivering incremental releases and involving stakeholders through sprint planning, demos, and backlog refinement. Quality assurance and test automation are integral to its delivery model, with capabilities in automated unit, integration, and end‑to‑end testing to help ensure software quality and reduce regression risk. In recent engagements, CG Infinity has been described as offering solutions in emerging technology areas such as data engineering and analytics, machine learning and artificial intelligence, Internet of Things (IoT) integrations, and augmented/virtual reality (AR/VR) for domain‑specific use cases. Data services may include building analytics pipelines, dashboards and reporting platforms, and applying ML models for predictive insights when required by clients. For IoT projects, work typically spans device integration, telemetry ingestion, edge/cloud processing, and dashboarding for device management and monitoring. The company’s service mix also usually covers digital transformation initiatives—helping organizations adopt cloud‑native architectures, modern data platforms, e‑commerce systems, and customer‑facing digital experiences. Typical verticals served include fintech and financial services, healthcare and life sciences, retail and e‑commerce, logistics and supply chain, and select enterprise manufacturing and professional services organizations. Engagements range from short‑term advisory and proof‑of‑concept projects to multi‑year managed development and platform operations contracts. CG Infinity frequently emphasizes practical engineering practices such as secure software development lifecycle (SSDLC) considerations, application security testing, and compliance‑aware design for regulated sectors. Its teams commonly include software engineers, DevOps/SRE specialists, UX/product designers, QA/test engineers, and project managers. Service delivery is often a hybrid of onshore client engagement and distributed engineering resources, enabling flexible staffing models and cost management for clients. Typical deliverables from CG Infinity projects include detailed technical architecture documents, source code repositories with CI/CD pipelines, containerized production deployments, automated test suites, system and user documentation, performance and security test results, and ongoing support SLAs. The company also provides training and knowledge transfer to client teams to ensure smooth ownership transition and long‑term maintainability of delivered solutions. CG Infinity’s business model is project‑ and retainer‑based, combining fixed‑scope engagements, time‑and‑materials contracts, and managed service agreements. Pricing and engagement structure vary by project size, technical complexity, and client requirements. The company often highlights collaboration, technical competence, and delivery reliability as key differentiators when working with mid‑market enterprises and digital product teams. Note: This description summarizes CG Infinity’s typical technology services and product engineering capabilities and the kinds of solutions the company is known to provide. For the most current and authoritative information on CG Infinity’s specific offerings, case studies, client references, and official corporate statements, refer to the company’s official website and published materials.
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