Transformative AI Engineer

1 week ago

Aurangabad, Maharashtra, India beBeeLeader Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
Job Overview

We are propelling the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries.

As an established leader in the AI space, we combine deep expertise with a collaborative approach to deliver impactful technology that drives meaningful change.

Our global team consists of professionals who have honed their skills at leading companies.

With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.

You will work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact.

Key Qualifications:

  • Technical Expertise
    • Backend Development (Expert): Python, Java, C#, or Golang with strong knowledge of distributed systems and scalable architectures
    • Data & Messaging (Advanced): Kafka, RabbitMQ, Redis, PostgreSQL, MongoDB
    • Cloud Technologies (Proficient): AWS, GCP, Azure, CI/CD pipelines (GitHub Actions, GitLab CI, Bamboo)
    • System Design & Architecture: Microservices, Domain-driven design, Event-driven architecture, Reusable frameworks, Shared libraries
    • AI & Innovation (Preferred): Adoption of AI accelerators, RAG, LLMs, Vector Databases, AI-first engineering practices
  • Leadership & Collaboration
    • Technical mentorship, stakeholder management, cross-team communication, org-wide technical direction

Roles and Responsibilities:

  • Serve as a domain-level architect, defining reusable patterns, frameworks, and best practices across teams.
  • Lead large-scale, cross-functional engineering initiatives that align technical roadmaps with strategic business outcomes.
  • Own critical technical decisions across multiple domains, ensuring long-term platform scalability, performance, and reliability.
  • Champion adoption of observability, testing, security, and quality standards throughout the organization.
  • Mentor engineers at all levels, fostering technical leadership capacity across the org.
  • Guide adoption of AI-first practices, enabling teams to leverage AI accelerators, LLMs, and automation to increase efficiency.
  • Collaborate with product, business, and engineering stakeholders to influence org-wide strategies and architecture reviews.

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