Python Developer Dallas, TX

The Python Developer will play a critical role in building and enhancing our Agentic AI platform, developing intelligent systems that leverage Large Language Models (LLMs), agent orchestration frameworks, and cloud-native technologies. This role requires a strong blend of backend engineering expertise, AI application development, and problem-solving skills to deliver scalable, secure, and production-ready solutions.

You will be responsible for developing AI-powered services, implementing agent workflows, integrating enterprise systems and external tools, and contributing to the evolution of the platform. 

Key Responsibilities:

Backend Development: Design, develop, and maintain scalable backend services, APIs, and platform components using Python and related frameworks.

Agent Development: Build and implement agent orchestration workflows using modern frameworks such as LangGraph, CrewAI, AutoGen, or similar technologies.

LLM Integration: Integrate and optimize LLM-powered capabilities using platforms such as OpenAI, Gemini, Anthropic, and open-source models.

RAG Implementation: Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge bases and vector databases.

Tool Integration: Create tools, connectors, and APIs that enable agents to interact with databases, business systems, and third-party applications.

Platform Development: Contribute to the development of scalable, resilient, and secure AI platform capabilities that support enterprise deployments.

Testing & Evaluation: Develop testing strategies and evaluation frameworks to measure agent accuracy, reliability, performance, and overall effectiveness.

Performance Optimization: Optimize AI workflows, token utilization, model selection, and infrastructure to improve latency and cost efficiency.

Required Skills & Qualifications:

• 6–9 years of experience in software development with strong expertise in Python.
• Hands-on experience with Python frameworks such as FastAPI, Flask, or Django.
• Strong experience in developing REST APIs, microservices, and backend applications.
• Experience working with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Agent Development Kit (ADK), or similar technologies.
• Experience building and supporting RAG-based applications and AI-powered solutions.
• Hands-on experience with LangChain, LlamaIndex, LangSmith, or LangFlow.
• Working knowledge of LLMs including OpenAI, Gemini, Anthropic, Llama, or equivalent models.
• Strong understanding of prompt engineering, function calling, tool integration, and agent orchestration patterns.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
• Proficiency in relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Docker, Kubernetes, and containerized application deployments.
• Experience working with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or GitLab CI.

Compensation, Benefits and Duration

• Minimum Compensation: USD 35,000
• Maximum Compensation: USD 123,000
• Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
• Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
• This position is not available for independent contractors
• No applications will be considered if received more than 120 days after the date of this post