Python Lead with AI

Valiant Technologies LLC; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Valiant Technologies LLC in Dallas seeks a senior AI/ML software engineer to design and deliver production-grade AI systems, leveraging Python and modern MLOps practices.

You will work across engineering, data, and product teams to build scalable backend services, integrate with LangChain-like frameworks, and ensure observability, governance, and responsible AI.

Qualifications

• 10+ years of overall experience with 5+ years in professional software development, with strong Python expertise.
• Experience delivering at least one AI/ML or LLM-powered system to production.
• Familiarity with AI Development Life Cycle: data handling, experimentation, evaluation, deployment, and monitoring.
• Hands-on LLM app development: prompt engineering, RAG, and API integration.
• Proficiency designing and consuming RESTful APIs and building scalable backend services.
• Cloud platforms (AWS, GCP, or Azure) and Docker containerization.
• Version control with Git and CI/CD workflows.
• Strong cross-functional communication across engineering, data, and product teams.

Responsibilities

• Design, develop, and deploy AI/ML systems at production scale.
• Build and maintain backend services and RESTful APIs.
• Collaborate with data, product, and platform teams to define requirements.
• Evaluate model performance and ensure observability and safety.

Skills

Python

AI/ML systems

LLM deployment

RESTful APIs

Cloud platforms

Docker

Git/CI-CD

Communication

Prompt engineering

Tools

LangChain

LlamaIndex

Weaviate

Pinecone

FAISS

Kubernetes

Terraform

MLflow

Weights & Biases

Airflow

Job description

10+ Years of overall exp and 5+ years of professional software development experience, with strong, current Python expertise.

Demonstrable experience delivering at least one AI/ML or LLM-powered system to production and supporting it through its life cycle.

Practical familiarity with the AI Development Life Cycle (AIDLC): data handling, experimentation, evaluation, deployment, and monitoring.

Hands-on experience with LLM application development — prompt engineering, RAG, and integrating APIs such as those from major model providers.

Proficiency designing and consuming RESTful APIs and building scalable backend services.

Working knowledge with cloud platforms (AWS, GCP, or Azure) and containerization (Docker).

Solid grounding with version control (Git) and CI/CD workflows.

Strong communication skills and the ability to work across engineering, data, and product teams.

Preferred Qualifications:

• Experience with agentic frameworks and orchestration (e.g., LangChain, LangGraph, LlamaIndex, or multi-agent frameworks).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS) and embedding-based retrieval.
• Exposure to MLOps/LLMOps tooling — MLflow, Weights & Biases, model registries, and feature stores.
• Experience with Kubernetes and infrastructure-as-code.
• Understanding of model evaluation, responsible AI, safety guardrails, and observability for LLM systems.
• Background with data pipelines and streaming (e.g., Kafka, Spark, or Airflow).

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.