Sr. Gen AI Engineer

• Design and develop algorithms for generative models using deep learning techniques
• Design and build LLM-powered applications for internal and/or customer-facing use cases
• Develop and productionize RAG pipelines using enterprise data sources vector databases and retrieval systems
• Build and optimize AI agents / agentic workflows for task automation reasoning and orchestration
• Integrate model providers such as OpenAI Anthropic Azure OpenAI AWS Bedrock and open-source models where appropriate
• Create robust evaluation frameworks for response quality factuality latency safety and reliability
• Implement prompt engineering structured outputs tool calling and model optimization strategies
• Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices
• Build monitoring observability and feedback loops for model and application performance in production
• Establish and maintain guardrails responsible AI practices and security controls for enterprise AI systems
• Collaborate with product managers designers and business stakeholders to identify high-impact AI opportunities
• Mentor other engineers and contribute to architecture technical direction and engineering best practices

Qualifications :

Required Qualifications

• Bachelors degree in Computer Science Engineering Machine Learning or a related field
• 5 years of software engineering machine/deep learning engineering or applied AI experience
• 2 years of hands-on experience building and deploying Generative AI / LLM-based systems in production
• Strong programming skills in Python and experience with backend/API development
• Experience with LLM application development including prompt engineering RAG tool use and structured output design
• Experience in optimizing RAG pipelines using both structured and unstructured data
• Experience with orchestration frameworks such as LangChain LlamaIndex Semantic Kernel or equivalent
• Experience in generative AI techniques such as GANs and VAEs
• Hands-on experience with vector databases / retrieval systems such as Pinecone Weaviate Chroma FAISS Elasticsearch or Azure AI Search
• Experience with cloud platforms such as AWS GCP or Azure
• Experience with Docker Kubernetes CI/CD and production deployment practices
• Strong understanding of software architecture scalability reliability and distributed systems
• Experience building evaluation testing and monitoring for AI systems
• Strong communication skills and ability to work closely with technical and non-technical stakeholder

Preferred Qualifications

• Experience fine-tuning or adapting open-source LLMs
• Advanced knowledge of natural language processing for text generation tasks
• Experience with PyTorch TensorFlow JAX or related ML frameworks
• Experience with MLOps tools such as MLflow SageMaker Vertex AI Azure ML Kubeflow or similar
• Experience building multi-agent systems or advanced orchestration workflows
• Experience with AI safety guardrails red-teaming privacy and governance
• Familiarity with search ranking recommendation conversational AI or enterprise knowledge systems
• Experience in customer-facing or enterprise SaaS products
• Experience in semiconductor/manufacturing retail and e-commerce sectors

What Success Looks Like

• Deliver production-ready GenAI features that improve user experience and business outcomes
• Build reliable and scalable AI systems with strong quality latency and cost performance
• Establish best practices for evaluation observability and responsible AI development
• Help define the companys long-term Generative AI architecture and roadma

   

Additional Information :

All your information will be kept confidential according to EEO guidelines.

 *** NO C2C ***

Remote Work :

No

Employment Type :

Contract