AI engineer-Local or NEar By (Dallas - Texas)-in-person client interview if shortlisted

Role : AI engineer

Location : Dallas Texas-Hybrid-Local or Near By

Interview Mode : in-person client interview if shortlisted

Contract

Job Summary

As Architect on the Agentic System Layer ASL team you will define and drive the technical architecture for agentic AI platform Day-to-day responsibilities include designing and evolving the architecture for multiagent orchestration systems tooluse frameworks and LLM integration pipelines establishing patterns for agent reliability observability and guardrails at production scale leading technical design reviews and producing architecture decision records ADRs collaborating with ML engineers and software engineers to ensure platform components are scalable secure and maintainable evaluating and integrating emerging agentic AI frameworks eg Lang Graph CrewAI Semantic Kernel AutoGen defining API contracts data flow patterns and integration standards across the AI platform ecosystem mentoring engineers on best practices for building production grade AI systems

Top 3 Mandatory Skills and Experience

• 10 years software architecture experience with at least 3 years designing AIML platform systems including Handson experience with LLM orchestration frameworks LangChain LangGraph Semantic Kernel or similar
• Deep expertise in distributed systems design microservices architecture event driven patterns and API design RESTgRPC with strong proficiency in Python and at least one of JavaGoTypeScript
• Production experience building and deploying agentic AI systems or LLM powered applications at scale including prompt engineering tooluse patterns RAG pipelines and agent reliability bservability

Nice to Have Skills

Experience with Kubernetes container orchestration cloud platforms AWS Azure GCP MLOps LLMOps tooling vector databases Pinecone Weaviate pgvector knowledge graphs airlinetravel domain experience TOGAF or similar architecture certification experience with multiagent system design patterns and agent evaluationbenchmarking frameworks

Describe a great candidate that you are looking for and what skills and experience they will have A great candidate is a seasoned architect who has shipped production agentic AI systems not just prototypes They can whiteboard a multiagent orchestration system debate tradeoffs between different LLM routing strategies and then jump into code to prove out a design They understand that agentic systems at airline scale need bulletproof reliability graceful degradation and real observability They have opinions backed by experience they push back on bad ideas constructively and they make the engineers around them better

Skills

Mandatory Skills : LLMOps, Prompt Engineering & RAG, Python API (for Langchain / Llamaindex)