Consultant

This is a fully remote position, open to applicants in Missouri.

📋 Description

• Collaborate directly with clients and business stakeholders to comprehend intricate use cases and convert them into AI/GenAI solutions.

• Design, create, and implement production-ready applications utilizing LLMs and machine learning technologies.

• Construct RAG pipelines using enterprise data sources, embeddings, vector databases, and semantic search.

• Develop AI agents and agentic workflows, encompassing tool calling, orchestration, memory, and multi-step reasoning.

• Integrate AI functionalities with enterprise applications, APIs, databases, cloud platforms, and business processes.

• Execute prompt engineering, prompt optimization, model evaluation, and implementation of guardrails.

• Create backend services and APIs using Python, FastAPI, or comparable frameworks.

• Work with LLM platforms and frameworks including Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, and Semantic Kernel.

• Implement vector search solutions utilizing Azure AI Search, Pinecone, Weaviate, FAISS, or similar platforms.

• Design and deploy scalable AI workloads on Azure, AWS, or Google Cloud Platform.

• Containerize and launch AI applications employing Docker and Kubernetes.

• Establish LLMOps/MLOps practices for deployment, monitoring, evaluation, observability, versioning, and continuous enhancement.

• Develop proof-of-concepts and transition successful prototypes into production-ready solutions.

• Diagnose AI application issues across models, prompts, retrieval pipelines, APIs, infrastructure, and customer settings.

• Implement ethical AI practices addressing security, privacy, access control, hallucination mitigation, content safety, and data governance.

• Collaborate with engineering and product teams to integrate reusable customer solutions and feedback into the wider AI platform.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

• Strong practical programming experience with Python.

• Proven experience in developing production applications utilizing Generative AI and LLMs.

• Solid understanding of RAG, embeddings, vector databases, semantic search, prompt engineering, and agentic AI.

• Experience in 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 grasp of software engineering principles, Git, CI/CD, testing, containerization, and API development.

• Familiarity with machine learning concepts, model evaluation, inference, and performance optimization.

• Experience in transitioning AI solutions from prototype/PoC to production deployment.

• Strong troubleshooting and problem-solving abilities.

• Excellent communication skills and stakeholder management capabilities.

• Ability to thrive in fast-paced environments with ambiguous or evolving customer requirements.

• Preferred: Experience with Azure OpenAI Service, Azure AI Foundry, Azure AI Search, Amazon Bedrock, Google Vertex AI, or similar AI platforms.

• Preferred: Experience in building AI agents, copilots, conversational AI, or autonomous workflows.

• Preferred: Knowledge of LLM evaluation techniques, observability, tracing, hallucination detection, and AI guardrails.

• Preferred: Experience with PyTorch, TensorFlow, or similar frameworks.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance plans.

• Opportunities for professional development and continuous learning.

• Flexible work hours and remote work options.

• Collaborative and inclusive company culture.