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Open AI Solution Engineer
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Darwin Resources OpenAI Solution Engineer
with experience in AI, machine learning, and LLM (Large Language Model) integration to join our team. As a key member of our solutions organization, you will work closely with enterprise clients to design, build, and deploy OpenAI-powered solutions that solve complex business problems. This is a highly collaborative, hands-on technical role requiring both strong engineering capabilities and excellent communication skills. Focus Someone who can create custom GPT on daily basis Specializes in using OpenAI's foundation models (e.g., GPT-4, DALL E, Whisper). Focus is on building applications and products powered by pre-trained LLMs rather than training models from scratch. Typical Work Uses OpenAI APIs (chat, completion, embeddings, vision, audio) to build intelligent systems. Designs complex prompt workflows (prompt engineering, few-shot learning, prompt chaining). Integrates LLMs into apps for tasks like summarization, search, agents, chatbots, code generation, etc. Tools & Skills: OpenAI API (GPT-4, GPT-4o, DALL E, Whisper) Prompt engineering, RAG (Retrieval-Augmented Generation) LangChain, LlamaIndex, Vector databases (Pinecone, FAISS, Weaviate) Python, FastAPI, front-end integration Knowledge of token limits, context management, cost optimization Key Responsibilities: Collaborate with Sales, Product, and Engineering teams to understand client requirements and design scalable OpenAI-driven solutions. Develop and deliver customized technical demos, proof-of-concepts, and prototypes using OpenAI APIs and ecosystem tools (e.g., embeddings, vector stores, RAG, fine-tuning). Advise clients on best practices for integrating LLMs into their existing technology stacks, including data pipelines, APIs, and front-end applications. Guide clients through technical architecture decisions, deployment strategies, and performance optimization. Provide post-sale technical support and solution implementation, ensuring a smooth transition from proof-of-concept to production. Maintain expertise in OpenAI's product suite and stay current on industry trends in generative AI, LLMs, and natural language processing. Required Qualifications 3+ years in a Solutions Engineer, Sales Engineer, ML Engineer, or similar technical role. Proficiency with Python, REST APIs, and common ML/AI libraries (e.g., Hugging Face Transformers, LangChain, OpenAI SDK). Experience designing or deploying applications that utilize LLMs, embeddings, and RAG architecture. Strong understanding of software architecture and integration patterns, especially within cloud environments (AWS, Azure, or GCP). Excellent communication and stakeholder engagement skills, with the ability to explain complex topics to technical and non-technical audiences.
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Open AI Solution Engineer
role at
Darwin Resources OpenAI Solution Engineer
with experience in AI, machine learning, and LLM (Large Language Model) integration to join our team. As a key member of our solutions organization, you will work closely with enterprise clients to design, build, and deploy OpenAI-powered solutions that solve complex business problems. This is a highly collaborative, hands-on technical role requiring both strong engineering capabilities and excellent communication skills. Focus Someone who can create custom GPT on daily basis Specializes in using OpenAI's foundation models (e.g., GPT-4, DALL E, Whisper). Focus is on building applications and products powered by pre-trained LLMs rather than training models from scratch. Typical Work Uses OpenAI APIs (chat, completion, embeddings, vision, audio) to build intelligent systems. Designs complex prompt workflows (prompt engineering, few-shot learning, prompt chaining). Integrates LLMs into apps for tasks like summarization, search, agents, chatbots, code generation, etc. Tools & Skills: OpenAI API (GPT-4, GPT-4o, DALL E, Whisper) Prompt engineering, RAG (Retrieval-Augmented Generation) LangChain, LlamaIndex, Vector databases (Pinecone, FAISS, Weaviate) Python, FastAPI, front-end integration Knowledge of token limits, context management, cost optimization Key Responsibilities: Collaborate with Sales, Product, and Engineering teams to understand client requirements and design scalable OpenAI-driven solutions. Develop and deliver customized technical demos, proof-of-concepts, and prototypes using OpenAI APIs and ecosystem tools (e.g., embeddings, vector stores, RAG, fine-tuning). Advise clients on best practices for integrating LLMs into their existing technology stacks, including data pipelines, APIs, and front-end applications. Guide clients through technical architecture decisions, deployment strategies, and performance optimization. Provide post-sale technical support and solution implementation, ensuring a smooth transition from proof-of-concept to production. Maintain expertise in OpenAI's product suite and stay current on industry trends in generative AI, LLMs, and natural language processing. Required Qualifications 3+ years in a Solutions Engineer, Sales Engineer, ML Engineer, or similar technical role. Proficiency with Python, REST APIs, and common ML/AI libraries (e.g., Hugging Face Transformers, LangChain, OpenAI SDK). Experience designing or deploying applications that utilize LLMs, embeddings, and RAG architecture. Strong understanding of software architecture and integration patterns, especially within cloud environments (AWS, Azure, or GCP). Excellent communication and stakeholder engagement skills, with the ability to explain complex topics to technical and non-technical audiences.
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