Job Openings Gen AI SMTS2 Platform Engineer

About the job Gen AI SMTS2 Platform Engineer

Job Title: Gen AI – SMTS2 Platform Engineer

Experience: 7+ Years
Location: Hyderabad
Employment Type: Full-Time
Notice Period: Immediate or Less Than 30 Days

Job Overview:

We are seeking a Senior Member of Technical Staff (SMTS2) – Platform Engineer with expertise in Generative AI and scalable platform architecture. This role involves building and enhancing core platform components, enabling Gen AI integration, and driving innovation across next-gen software solutions.

Key Responsibilities:

  • Design and develop scalable, modular middle-tier software solutions and integration layers.
  • Take ownership of architecture, development, and deployment activities across platform services.
  • Collaborate with cross-functional teams including product, QA, and support to ensure successful delivery.
  • Analyze complex business requirements and translate them into functional technical solutions.
  • Explore and recommend emerging technologies, especially in the Gen AI and platform engineering space.
  • Contribute to improving development practices and design patterns across the engineering team.
  • Mentor junior developers and foster a culture of knowledge sharing.

Technical Skills Required:

  • 7+ years in software development with a focus on backend/platform engineering.
  • Strong programming skills in Python including algorithms, data structures, and design patterns.
  • Hands-on experience with Microservices, RESTful APIs, and event-driven architecture.
  • Working knowledge of AWS cloud services, Docker, and Kubernetes.
  • Familiarity with Gen AI tools such as GitHub Copilot or Cursor.
  • Ability to quickly research and prototype emerging technologies. 3-5 years of hands-on experience in designing, developing and sustaining critical platform components/services
  • .

Nice to Have:

  • Understanding of Prompt Engineering, LLMs, vector embeddings.
  • Experience with ML libraries like PyTorch, HuggingFace.
  • Exposure to AI/ML pipelines or cloud-native ML platforms.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Solid grasp of enterprise software architecture and SDLC.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication and teamwork abilities.