Gen AI Engineer — Houston, TX

We are looking for a skilled AI Engineer – Generative AI / LLM with 3–7 years of experience in designing and developing AI-powered applications. The ideal candidate should have strong hands-on experience with Generative AI, Large Language Models (LLMs), RAG, prompt engineering, and Python.

The candidate will work on building scalable AI solutions using modern LLM frameworks and cloud technologies, integrating AI capabilities into enterprise applications and business workflows.

Key Responsibilities

• Design, develop, and deploy Generative AI and LLM-powered applications.

• Build production-ready solutions using RAG (Retrieval-Augmented Generation) and knowledge-based AI systems.

• Work with LLMs such as OpenAI GPT, Azure OpenAI, Claude, Gemini, Llama, or similar models.

• Develop AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent.

• Implement prompt engineering, prompt optimization, structured outputs, and function/tool calling.

• Develop and integrate vector databases such as Pinecone, Azure AI Search, Weaviate, Chroma, Milvus, or FAISS.

• Build document ingestion and processing pipelines for PDFs, documents, web content, and enterprise data.

• Implement techniques such as embeddings, semantic search, chunking, metadata filtering, and reranking.

• Develop APIs and backend services using Python, FastAPI, Flask, or Django.

• Integrate LLM solutions with enterprise applications, databases, APIs, and cloud services.

• Evaluate LLM performance using appropriate accuracy, relevance, hallucination, latency, and cost metrics.

• Implement responsible AI practices including security, data privacy, access control, and guardrails.

• Optimize AI applications for scalability, performance, reliability, and cost.

• Collaborate with data scientists, software engineers, architects, product teams, and business stakeholders.

• Troubleshoot and continuously improve AI models and applications based on production feedback.

Required Skills

• 3–7 years of software/AI engineering experience.

• Strong programming experience in Python.

• Hands-on experience building Generative AI / LLM applications.

• Strong understanding of LLMs, Transformers, embeddings, prompt engineering, and NLP concepts.

• Hands-on experience with RAG architecture.

• Experience with at least one LLM framework such as:

• LangChain

• LlamaIndex

• LangGraph

• Semantic Kernel

• Experience with one or more Vector Databases/Search technologies:

• Pinecone

• Azure AI Search

• FAISS

• Chroma

• Weaviate

• Milvus

• Experience working with LLM providers such as OpenAI/Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or open-source LLMs.

• Experience developing REST APIs using FastAPI, Flask, or similar frameworks.

• Good understanding of SQL and databases.

• Experience with Git, CI/CD, Docker, and software development best practices.

• Strong understanding of API integration, authentication, logging, monitoring, and debugging.

Preferred / Nice-to-Have Skills

• Experience with AWS, Azure, or GCP.

• Experience with Kubernetes and containerized AI applications.

• Knowledge of MLOps / LLMOps.