Consultant R

Consultant

Primary Skills

• CSPO

Specialization

• Product Management: Senior Software Development Lead

Job requirements

• Job Title: AI Engineer Forward Deployed Engineer (FDE) Job Summary We are looking for an experienced AI Engineer Forward Deployed Engineer (FDE) to design build deploy and operationalize AI solutions directly within customer environments. The role combines strong AI/ML and Generative AI engineering skills with hands-on customer engagement solution architecture and production deployment. The ideal candidate will work closely with customers product teams data engineers and platform teams to translate business requirements into scalable AI solutions and accelerate adoption from prototype through production. Key Responsibilities Work directly with customers and business stakeholders to understand complex use cases and translate them into AI/GenAI solutions. Design develop and deploy production-grade applications using Large Language Models (LLMs) and machine learning technologies. Build Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources embeddings vector databases and semantic search. Develop AI agents and agentic workflows including tool calling orchestration memory and multi-step reasoning patterns. Integrate AI capabilities with enterprise applications APIs databases cloud platforms and existing business workflows. Perform prompt engineering prompt optimization model evaluation and guardrail implementation. Develop backend services and APIs using Python FastAPI or similar frameworks. Work with LLM platforms and frameworks such as Azure OpenAI OpenAI APIs LangChain LlamaIndex Semantic Kernel or equivalent technologies. Implement vector search solutions using technologies such as Azure AI Search Pinecone Weaviate FAISS or similar platforms. Design and implement scalable AI workloads on Azure AWS or Google Cloud Platform. Containerize and deploy AI applications using Docker and Kubernetes. Establish appropriate LLMOps/MLOps practices for deployment monitoring evaluation observability versioning and continuous improvement. Develop proof-of-concepts and rapidly convert successful prototypes into production-ready solutions. Troubleshoot AI application issues across models prompts retrieval pipelines APIs infrastructure and customer environments. Implement responsible AI practices covering security privacy access control hallucination mitigation content safety and data governance. Collaborate with engineering and product teams to incorporate reusable customer solutions and feedback into the broader AI platform. Required Skills & Qualifications Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Engineering or a related field. Strong hands-on programming experience with Python. Experience developing production applications using Generative AI and LLMs. Strong understanding of RAG embeddings vector databases semantic search prompt engineering and agentic AI. Experience integrating AI applications with REST APIs enterprise databases and cloud services. Hands-on experience with at least one major cloud platform: Microsoft Azure AWS or GCP. Good understanding of software engineering principles Git CI/CD testing containerization and API development. Knowledge of machine learning concepts model evaluation inference and performance optimization. Experience taking AI solutions from prototype/PoC to production deployment. Strong troubleshooting and problem-solving skills. Excellent customer-facing communication and stakeholder-management abilities. Ability to work in fast-paced environments with ambiguous or evolving customer requirements. Preferred Skills Experience with Azure OpenAI Service Azure AI Foundry Azure AI Search Amazon Bedrock Google Vertex AI or similar AI platforms. Experience building AI agents copilots conversational AI or autonomous workflows. Knowledge of LLM evaluation techniques observability tracing hallucination detection and AI guardrails. Experience with PyTorch Tensor

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

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