E-Solutions

Generative AI Engineer

Company : E-Solutions

Location : Southlake, TX, 76092

Job Type : Full Time

Date Posted : 12 May 2026

Role: Generative AI Engineer
Location: Dallas, TX (Hybrid - 3 days onsite)
Interview Mode: Face-to-Face Final Round (In-Person Drive)
Dates: November 18th & 19th
Openings: 13
Software engineering experience with AI/ML or GenAI systems in production
Engagement: Contract

As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions. Key Responsibilities

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

Core Skills & Experience

Must Haves

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

Nice-to-Have

Familiarity with Google Cloud Platform (GCP) - especially Vertex AI, Cloud Run, and GKE.
Experience building AI APIs, embeddings, vector search, and integrating them into applications.
Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs.
Exposure to multi-modal AI systems (text, image, or voice).

Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.