Technical Lead - Dallas, TX
$46,000–$162,000 year
On-siteDallas, Texas, United States
Job Summary
Lead design and development of scalable, secure Agentic AI platforms using Python, LangGraph, and AutoGen frameworks. Define architecture patterns, engineering standards, and best practices for MLOps, CI/CD, and system observability. Collaborate with product managers, DevOps, and QA to align technical solutions with business requirements, while executing technical POCs with customer stakeholders to demonstrate impact. Optimize system infrastructure for latency, cost-efficiency, and production deployment across multi-tenant environments. Establish evaluation frameworks for LLM accuracy, safety, and performance. Provide technical leadership and mentorship to engineering teams, ensuring high-quality delivery of robust AI solutions.
Required Qualifications
- 12+ years of experience in software engineering
- strong expertise in Python
- strong expertise in backend system development
- Extensive experience in designing scalable, secure, multi-tenant AI/ML platforms
- Deep expertise in LLMs (OpenAI, Gemini, Anthropic, Llama)
- Deep expertise in agentic AI systems
- Hands-on experience with agent frameworks such as AutoGen, CrewAI, LangGraph, and LangChain ecosystem (LangChain, LangSmith, LangFlow)
- Strong experience building RAG-based systems
- experience working with vector databases
- Proficiency in Python ecosystem including PyTorch, Scikit-learn, LlamaIndex, and evaluation tools like DeepEval
- Deep understanding of LLM concepts (prompt engineering, fine-tuning, function/tool calling, RAG)
- Strong experience in microservices architecture
- Strong experience with REST APIs
- Strong experience with event-driven systems
- Expertise in relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis)
- Experience with cloud platforms (AWS, Azure, GCP)
- Experience with cloud-native architectures
- Familiarity with Docker
- Familiarity with Kubernetes
- Experience with modern DevOps practices
- Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
- Strong exposure to observability tools for logging, monitoring, and tracing AI systems
- Strong understanding of system design
- Strong understanding of scalability
- Strong understanding of engineering best practices
- Proven ability to lead architectural discussions
- Proven ability to mentor teams
- Proven ability to engage with stakeholders and clients
- Must be available for full time employment
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