AI Software Engineer

7 days ago

Coimbatore, Tamil Nadu, India beBeeTechnical Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Description

Our company is a leader in the field of artificial intelligence, empowering businesses worldwide by helping them build AI solutions that transform industries. We are a collaborative and agile organization that combines deep expertise with a bold mission to drive meaningful change.

As a trusted technical leader, you will be responsible for driving technical direction, cross-team execution, and elevating the engineering bar at our company by creating scalable systems, shaping engineering culture, and championing AI-first innovation.

Required Skills and Qualifications
  • Backend Development: Expert-level proficiency in Python, Java, C#, or Golang with strong knowledge of distributed systems and scalable architectures.
  • Data & Messaging: Advanced-level proficiency in Kafka, RabbitMQ, Redis, PostgreSQL, MongoDB.
  • Cloud Technologies: Proficient-level proficiency in 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-level proficiency in Adoption of AI accelerators, RAG, LLMs, Vector Databases, Ai-first engineering practices.
  • Collaboration & Leadership: Technical mentorship, stakeholder management, cross-team communication, org-wide technical direction.
Benefits
  • Best-in-class compensation packages.
  • Paid holidays and flexible time off.
  • Casual dress code & flexible working environment.
  • Work in an engaging, fast-paced environment with ample opportunities for professional growth.
  • Medical insurance covering self & family up to 4 lakhs per person.
  • Diverse and multicultural work environment.
  • Be part of an innovation-driven culture with the support and resources needed to succeed.
Others

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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