Posted on: 01/09/2025
Job Title : Senior Generative AI Developer (4 to 7 years experience).
Lead the design and deployment of enterprise-grade generative AI systems, driving innovation in LLM orchestration, multimodal architectures, and scalable AI/ML pipelines.
Own the full lifecycle from research to production, ensuring alignment with business objectives and ethical AI standards.
This will be a hands-on individual contributor role as well as providing technical guidance to junior developers.
Key Responsibilities :
Technical Leadership :
- Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for cost-performance optimization.
- Design GPU/TPU-optimized training pipelines (FSDP, DeepSpeed) for billion-parameter models.
Cloud-Native AI Development :
- Implement enterprise security : VPC peering, private model endpoints, and data residency compliance.
Innovation & Strategy :
- Establish AI governance frameworks : Model cards, drift monitoring, and red-teaming protocols.
Cross-Functional Impact :
- Mentor junior engineers and evangelize GenAI best practices across the organization.
Qualifications :
Education : Bachelors/Masters in CS/AI or equivalent industry experience (5+ years in ML, 2+ in GenAI).
Technical Mastery :
Languages : Python.
Frameworks : Expert-level PyTorch, TensorFlow Extended (TFX), ONNX Runtime.
Cloud : Certified in Azure AI Engineer Expert and/or GCP Professional ML Engineer.
GenAI Expertise :
- Advanced prompt/response engineering : Self-critique chains, LLM cascades, guardrail-driven generation.
Must-Have Experience :
Cloud AI experience :
Azure : Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search.
GCP : Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Pods.
High-Impact Projects :
- Built RAG systems with hybrid search (vector + lexical) and dynamic data hydration.
- Led AI compliance for regulated industries (healthcare, finance).
Preferred Qualifications Additions :
Certifications :
Azure : Microsoft Certified : Azure AI Engineer Associate.
GCP : Google Cloud Professional Machine Learning Engineer.
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