E-Solutions

E-Solutions

Gen AI Engineer

Company : E-Solutions

Location : Richards, TX, 77873

Job Type : Full Time

Date Posted : 4 April 2026

Role:- GEN AI Engineer
Location:- Richardson , TX (Onsite)


Duration: Longterm Contract

Interview Mode:- Face-to-Face

Local candidate only

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
  • 4-8 years of software engineering experience with at least 1-2 years in 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.
  • Familiarity with Google Cloud Platform (GCP) - e.g. Vertex AI, Cloud Run, and GKE.
Good-to-Have
  • Experience building AI APIs, embeddings, vector search, and integrating them into applications.

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