Senior Software Engineer – Generative AI
6 days ago
Job Title: Senior Software Engineer – Generative AI & Backend Systems
Location: Onsite/Hybrid
Type: Full-time
About the Role: We're seeking Senior Software Engineers with a strong background in Backend Engineering and hands-on experience working with Generative AI (GenAI) technologies. In this role, you'll design, build, and scale AI-powered applications and infrastructure, collaborating across teams to bring cutting-edge solutions to production.
Responsibilities:
- Design, develop, and maintain scalable backend systems to support GenAI-powered applications.
- Integrate large language models (LLMs) and other generative models into production services.
- Collaborate with ML engineers, data scientists, and product teams to define system architecture and APIs.
- Optimize performance and reliability of AI services in real-time environments.
- Ensure security, compliance, and best practices in backend services handling sensitive data or model outputs.
- Stay up-to-date with emerging GenAI technologies and frameworks, evaluating and incorporating them as needed.
Qualifications:
- 5+ years of experience in backend software engineering, with deep knowledge of modern server-side languages (e.g., Python, Go, Java, ).
- Experience integrating or working with generative AI models (e.g., OpenAI, Hugging Face, Anthropic, open-source LLMs).
- Solid understanding of RESTful APIs, microservices architecture, and cloud infrastructure (e.g., AWS, GCP, Azure).
- Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) pipelines.
- Strong grasp of software engineering best practices (CI/CD, testing, monitoring, version control).
- Excellent communication and collaboration skills.
Nice to Have:
- Experience fine-tuning or deploying LLMs in production.
- Contributions to open-source GenAI tools or libraries.
- Background in NLP, MLOps, or related AI infrastructure.
- Familiarity with containerization (Docker, Kubernetes).
Job Type: Full-time
Benefits:
- Paid training
Location:
- Pasay (Preferred)
Work Location: In person
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