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
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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.