Generative AI Engineer

6-12 Months Contract

Location - Richardson, TX

Interview Mode F2F Only

Key Responsibilities

1. Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks.
2. Integrate GenAI models into full-stack applications and internal workflows.
3. Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs.
4. Build reusable components and services for multi-agent orchestration and task automation.
5. Optimize AI inference pipelines for scalability, latency, and cost efficiency.
6. Participate in architectural discussions, contributing to the pod's technical roadmap.

Must Haves

1. 4 8 years of software engineering experience with at least 1 2 years in AI/ML or GenAI systems in production
2. Hands-on experience with Python only for AI/ML model integration.
3. Experience with LLM frameworks (LangChain, LlamaIndex is a must
4. Exposure to agentic frameworks (Langgraph, AutoGen, CrewAI is a must
5. Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.

Nice-to-Have

1. Familiarity with Google Cloud Platform (GCP) - especially Vertex AI, Cloud Run, and GKE.
2. Experience building AI APIs, embeddings, vector search, and integrating them into applications.
3. Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs.
4. Exposure to multi-modal AI systems (text, image, or voice).
5. Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.

Tekshapers is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.