Python Developer with ML - Dallas, TX

We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.

Key Responsibilities:

• Design, develop, and maintain Python frameworks that provide reusable components and structure for applications.

• Build, train, and deploy robust machine learning and deep learning models using Python and popular frameworks (e.g., PyTorch, TensorFlow).

• Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.

• Implement best practices in software engineering: OOP, design patterns, modular architecture.

• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and indexing data from various sources (e.g., PDFs, HTML, databases).

• Develop APIs and SDKs for framework adoption across teams.

• Utilize vector databases (e.g., Pinecone, Weaviate) for efficient storage and retrieval of high-dimensional vector embeddings to support RAG and semantic search functionalities.

• Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).

• Ensure security, reliability, and observability of framework components.

• Write unit/integration tests and maintain CI/CD pipelines.

• Document frameworks, APIs, and libraries for developer adoption.

• Participate in code reviews, mentor junior developers, and contribute to technical design discussions. Required Skills & Experience:

• Strong proficiency in Python (3.x) for ML and software development., with focus on OOP and modular design.

• Proven experience in building frameworks, libraries, or SDKs (not just applications).

• Advanced proficiency in Python for ML and software development.

• Expertise in design patterns, dependency injection, and plugin-based architectures.

• Solid understanding of ML algorithms, model evaluation techniques, and MLOps practices.

• Experience developing with Large Language Models (LLMs) and advanced Prompt Engineering techniques.

• Experience with FastAPI, Flask, Django or similar web frameworks.

• Solid understanding of APIs (REST, GraphQL) and API gateway integration.

• Knowledge of async programming (asyncio, aiohttp).

• Hands-on experience building and deploying Retrieval-Augmented Generation (RAG) systems.

• Proficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.

• Strong grasp of security practices (OAuth2, JWT, IAM integration).

• Familiarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.

• Familiarity with vector databases for efficient similarity search Nice to Have:

• Experience with Agentic AI frameworks (OpenAI SDK, LangChain, LlamaIndex, Google ADK, AutoGen).

• Knowledge of LLM fine-tuning, prompt engineering, and guardrails.

• Exposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).

• Experience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).

• Contributions to open-source Python frameworks or libraries. Ideal Candidate:

• A framework builder mindset – you enjoy designing systems other developers will use.

• Passionate about AI and automation, eager to experiment with agent-driven architectures.

• A problem-solver with a strong understanding of scalable and secure design principles.

• Excellent communicator with strong documentation and collaboration skills. Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.

• Strong track record of building scalable frameworks or platforms in production environments.