AI Engineer Job Austin area,Texas USA,Software Development

Job Details
Job Title: AI Engineer
Location: Austin, TX (onsite)
Job Type: Full-Time
Salary Range: $70,000 $ 130,000 per year
Role Summary
We are seeking an experienced AI Engineer with a strong background in backend development and applied AI systems. The ideal candidate will have hands-on experience building production-grade AI applications using Type Script/Node.js (preferred) or Python, designing LLM-powered workflows, implementing agentic architectures, and integrating AI solutions with enterprise systems. This role requires a combination of software engineering excellence and practical experience deploying AI solutions at scale.
Must Have Technical/Functional Skills

8+ years of software engineering experience with strong backend development expertise.
Proficiency in Type Script/Node.js (preferred) or Python.
Experience designing and developing scalable RESTful APIs and backend services.
Strong understanding of Large Language Models (LLMs) and Generative AI architectures.
Hands-on experience building LLM harnesses, orchestration frameworks, and AI-powered applications.
Experience implementing Retrieval-Augmented Generation (RAG) pipelines.
Knowledge of agentic workflows and autonomous agent architectures.
Experience designing and implementing tool-calling frameworks and AI orchestration systems.
Experience integrating AI systems with internal and external APIs.
Strong understanding of distributed systems, cloud-native architectures, and microservices.
Familiarity with vector databases, embeddings, and semantic search technologies.
Experience working in Agile development environments.

Roles & Responsibilities

Design, develop, and maintain AI-powered backend applications using Type Script/Node.js or Python.
Build scalable LLM orchestration frameworks, agentic systems, and intelligent workflows.
Develop Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions.
Design and implement multi-agent architectures to solve complex business problems.
Integrate Large Language Models with internal applications, external services, and enterprise APIs.
Build and optimize tool-calling frameworks to enable AI-driven automation and decision-making.
Develop production-grade APIs and backend services supporting AI applications.
Collaborate with product managers, architects, and engineering teams to define AI solution strategies.
Evaluate and optimize model performance, latency, reliability, and cost efficiency.
Implement observability, monitoring, and evaluation frameworks for AI applications.
Ensure security, compliance, and responsible AI practices across deployed solutions.
Conduct proof-of-concepts (POCs) and prototype innovative AI capabilities.
Stay current with advancements in Generative AI, LLMs, agentic frameworks, and emerging technologies.
Participate in architecture reviews, code reviews, and technical design discussions.
Provide technical guidance and mentorship to team members when required.

Required Qualifications

Bachelor s degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
8+ years of software development experience.
Strong proficiency in Type Script/Node.js or Python.
Experience building production APIs and distributed backend systems.
Hands-on experience with LLMs, RAG pipelines, agentic workflows, and AI integrations.
Experience integrating applications with REST APIs and third-party services.
Strong problem-solving, debugging, and analytical skills.
Excellent communication and collaboration abilities.

Preferred Qualifications

Experience with AI platforms, developer tooling, and model orchestration frameworks.
Knowledge of Lang Chain, Lang Graph, Llama Index, CrewAI, Auto Gen, or similar frameworks.
Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
Familiarity with AI evaluation, monitoring, and observability frameworks.
Experience implementing AI security controls, governance, and guardrails.
Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP.
Understanding of MLOps and AI lifecycle management practices.
Exposure to fine-tuning, prompt engineering, and model optimization techniques.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.