Full Stack AI Engineer

We have been retained by our client in Dallas, Texas, a leader in AI and analytics, to deliver a Full Stack AI Engineer on a regular full-time, direct-hire basis. Work onsite Dallas location. Provide full-stack AI and analytics services & solutions to empower systems that achieve real outcomes and value at scale. This team is on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. One purpose is to improve certainty that the guardrails implemented can provide. We are looking for a highly skilled Full Stack AI Engineer with 5-7+ years of experience in software engineering , with a heavy focus on Python , FastAPI, Azure infrastructure, and AI systems. The ideal candidate has experience building high-performance API services and implementing complex RAG and Agentic AI architectures.

Key Requirements:

Experience:

Minimum of 5-7+ years of professional experience in software development including some AI software engineering experience.

API & Backend:

Expert in building high-performance API / microservices using Python (FastAPI) deployed on Azure.

AI Integration:

Hands-on experience integrating Generative AI/LLMs, APIs, Azure and other model providers.

Infrastructure & DevOps:

Experience with DevOps, CI/CD pipelines, and ML pipelines within the Azure.

Agentic AI:

Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure.

Technical Standards:

Strong Python programming skills with a deep understanding of OpenAI API standards, Fast

API, JSON

RESTful design, and LLM orchestration .

Preferred Skills:

Experience working with any the following is desired: RAG OR ElevenLabs OR VoiceBot OR scikit-learn OR XGBoost OR SciPy OR PyTorch OR TensorFLow OR Ollama

OR LLM OR

vLLM OR Hallucinations OR Prompt Engineering OR Azure Foundry models Core Focus Areas & Expectations Candidates will be expected to demonstrate technical proficiency in the following areas: 1. Retrieval-Augmented Generation (RAG) Ability to design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators. Expertise in latency optimization and relevance tuning to ensure production-grade performance. Strategic approach to document chunking and embedding, balancing granularity with semantic coherence. 2. Agent Development Practical experience developing autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel. Ability to manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs. Proficiency in managing memory and context (episodic vs. long-term) in multi-turn interactions and external API interfacing. 3. Evaluation and Optimization Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection. Ability to iterate systems based on performance metrics and continuous improvement practices.

Employment Type:

Regular full-time, direct-hire

Salary Range:

$135,000 to 160,000 per year

USD Benefits:

life, health, dental, vision, 401k matching, paid vacation, paid holidays, paid sick days, performance bonus. This is an excellent benefits package. Large longevity bonuses.

Location:

Dallas, Texas Work onsite Dallas . ( Carrollton, Texas 75010 ) Please apply with resume , ( ms word format preferred ), through link of job post 815 below: Dallas career opp t y:

Full Stack AI Engineer Immigration:

s and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time. No third parties. No consulting firms. Principals only. No

C2C. W-2

only. Candidates only, please. Any qualified candidate is encouraged to call or to send a text to: