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AI Engineering Specialist

Software EngineerSoftware EngineerFull TimeRemoteSeniorTeam 10,001+H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

69 days ago

Salary

0

Seniority

Senior

Postgraduate DegreePortugueseDockerJavaKubernetesPython

Job Description

AI Engineering Specialist

Sicredi

• Technical reference for enterprise AI solutions, with expertise across the entire solution lifecycle. • Expertise in scalability, microservices architecture, and data engineering applied to AI. • Leadership in strategic, high-impact projects with a focus on innovation and digital transformation. • Ability to define technical guidelines, roadmaps, and AI strategies aligned with business objectives. • Strong focus on security, data governance, and algorithmic responsibility. • Influence in organizational decisions, acting as a bridge between technology and executive areas. • Participation in applied research, development of internal frameworks, and acceleration of technical teams. • Active contribution to the evolution of the organization's AI culture, promoting training and knowledge sharing. • Systemic vision and the ability to anticipate technological trends to position the company competitively. • Leads the development and integration of AI components (such as LLMs, agents, predictive models) into corporate applications and systems. • Influences architecture, technology, and solution roadmap decisions. • Conducts technical diagnostics and assessments, identifying opportunities to improve and evolve existing solutions. • Facilitates communication between business and technology areas, translating strategic needs into high-impact solutions. • Represents the AI area in technical and strategic forums, promoting alignment with internal and external stakeholders. • Prepares presentations and supporting materials for technical meetings and stakeholder alignments. • Assists management in prioritizing requests and scope management, contributing to on-time, high-quality deliveries. • Shares knowledge on AI frameworks, APIs, and microservices. • Leads discussions with DevOps, Engineering, and Security teams, prioritizing solution scalability. • Leads exploration and application of cutting-edge technologies (LLMs, autonomous agents, generative AI), fostering continuous innovation. • Represents the company at events, technical forums, and strategic partnerships.

Job Requirements

  • Proficiency in Python or Java and experience using AI/ML libraries;
  • Experience in NLP, computer vision, and generative AI projects, using Agents, LLMs, RAG and protocols (MCP and A2A);
  • Strong software engineering best practices;
  • Experience with CI/CD pipelines, containerization (Docker), and orchestration tools such as Kubernetes;
  • Experience with cloud services for deploying and monitoring AI solutions;
  • Ability to document and communicate technical decisions, and present results to business areas;
  • Ability to translate business problems into scalable, sustainable AI solutions;
  • Capability to lead technical initiatives and mentor less-experienced professionals;
  • Ongoing interest in new trends and emerging technologies in the AI field;
  • Strong collaboration and interaction with diverse areas;
  • Ability to define standards and review solutions with a focus on technical excellence;
  • Postgraduate degree in the field, in progress or completed.

Benefits

  • Fixed 14th and 15th salaries (additional annual payments);
  • Profit-sharing / Results participation (based on seniority);
  • Health and dental plans with no co-payment;
  • Wellness programs via Wellhub (formerly Gympass): Nutrition, Psychology, Occupational health, Massage, Running group, and local gym;
  • Meal and grocery allowances (VR/VA) with flexible percentage allocation across cards, no co-payment;
  • Extended maternity and paternity leave;
  • Childcare or nanny assistance for children up to 6 years and 11 months;
  • Assistance for children with disabilities, no age limit;
  • Life insurance;
  • Private pension plan contribution up to 7% of salary;
  • Training platform — Sicredi Aprende, with a variety of courses;
  • 40-hour workweek — using a time bank system;
  • Work-from-home allowance (except for positions that are 100% on-site).

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