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Senior AI Engineer, Javascript/React

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1995H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

15 hours ago

Salary

0

Seniority

Senior

Job Description

Senior AI Engineer, Javascript/React

CI&T

• Technical Leadership: Define architecture standards for Generative AI solutions, driving design decisions that impact multiple squads and products. • Conversational Solutions Development: Design, develop, and integrate end-to-end AI solutions with a focus on scalability and maintainability. • AI Agents & Automation: Build and evolve AI agents and intelligent automations, including multi-agent workflows where applicable, to solve real business and engineering problems at scale. • AI-Assisted Engineering: Explore and implement AI-assisted development practices (code generation, refactoring, testing assistance) to improve our software development lifecycle. • AI Security & Governance: Define and implement robust security strategies for language models, with a special focus on mitigating risks such as prompt injection and sensitive data leakage (ensuring compliance with healthcare/HIPAA regulations). • System Integration: Connect Generative AI models with internal APIs, establishing reusable integration patterns for the team. • POC Lifecycle Management: Lead POCs from technical ideation through validation, QA, and production transition, including feasibility assessment and architecture trade-off decisions. • Quality & Testing: Define and evolve testing pipelines for non-deterministic flows (Generative AI), ensuring accuracy in benefits and eligibility responses. • Technical Mentorship: Support the growth of mid-level and junior engineers through code reviews, pair programming, and knowledge sharing. • Cross-functional Collaboration: Act as the technical reference in discussions with Product Managers, technical leadership, and QA teams, translating business goals into architectural decisions.

Job Requirements

  • Professional Experience: 5 to 8 years of experience in Software Engineering, with at least 1 year focused on Artificial Intelligence / Machine Learning projects, including experience leading projects or technical teams.
  • Programming Languages: Python, JavaScript, React and solid experience in API development (FastAPI, Flask, or similar), with strong attention to design best practices and performance.
  • Generative AI & LLMs: Proven experience building applications using LLMs (OpenAI, Anthropic, Llama, etc.), advanced prompt engineering, RAG (Retrieval-Augmented Generation) architectures, vector databases, and embeddings, including design trade-off decisions (chunking, retrieval strategies).
  • AI Agents: Experience building or integrating AI agents using orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
  • Cloud Ecosystem (AWS): Strong experience developing cloud-native solutions, preferably within the AWS ecosystem (AWS Bedrock, Lambda, API Gateway, DynamoDB), with the ability to make architectural decisions around cost, performance, and scalability.
  • Best Practices & MLOps: Solid experience with version control (Git), CI/CD pipelines, and automated testing applied to Machine Learning systems (MLOps), including monitoring and observability of models in production.
  • Architectural Vision: Ability to evaluate and propose end-to-end architectures for AI solutions, considering security, scalability, cost, and maintainability.
  • Nice-to-Haves:
  • Anthropic certification (e.g., Claude/API certifications) is a plus.
  • Experience with multi-agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, or similar.
  • Experience with AI-assisted modernization and legacy migration strategies.
  • Experience in the healthcare sector (Healthtech), with an understanding of health plan workflows, claims, and medical data protection.
  • Experience with Kubernetes, containers, and infrastructure automation.
  • Prior experience mentoring or providing technical leadership to other engineers.

Benefits

  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
  • Profit sharing and results participation (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform
  • And many more!

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