Senior Generative AI Developer

Xceedance Consulting Polska Sp. z o.o.Polska

4 dni temu

Opis pracy

We're looking for a Senior Generative AI Developer to lead the design and deployment of enterprise-grade GenAI systems. This is a hands-on individual contributor role with opportunities to provide technical guidance to junior developers. You'll drive innovation in LLM orchestration, multimodal architectures, and scalable AI / ML pipelines—owning the full lifecycle from research to production while ensuring alignment with business goals and ethical AI standards.

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

2. Cloud-Native AI Development

Build multi-cloud GenAI platforms (Azure OpenAI, GCP Vertex AI, AWS Bedrock) with unified MLOps

Implement enterprise-grade security : VPC peering, private endpoints, data residency compliance

3. Innovation & Strategy

Pioneer GenAI use cases : agentic workflows, synthetic data generation, real-time fine-tuning

Establish AI governance frameworks : model cards, drift monitoring, red-teaming protocols

4. Cross-Functional Impact

Collaborate with leadership to define AI roadmaps and ROI metrics (e.g., cost savings via automation)

Mentor junior engineers and promote GenAI best practices across the organization

Qualifications : Education :

Bachelor's or Master's in Computer Science, AI, or equivalent 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 :

Delivered production-grade GenAI systems (e.g., 10k+ QPS chatbots, GitHub Copilot-scale autocomplete)

Advanced prompt engineering : self-critique chains, LLM cascades, guardrail-driven generation

Must-Have Experience :

Cloud AI Development :

Azure : Azure OpenAI, MLOps Pipelines, Cognitive Search

GCP : Vertex AI LLM Evaluation, Gemini Multimodal, TPU v5 Pods

High-Impact Projects :

Automation initiatives with measurable cost savings

RAG systems with hybrid search (vector + lexical) and dynamic data hydration

AI compliance leadership in regulated industries (e.g., healthcare, finance)

Preferred Qualifications :

Certifications :

Microsoft Certified : Azure AI Engineer Associate

Google Cloud Professional Machine Learning Engineer

Deployment Experience :

Hybrid / multi-cloud GenAI setups (e.g., training on GCP TPUs, serving via Azure endpoints)

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Senior Ai Developer • Polska