Role overview
We’re looking for a
**Generative AI Engineer**
to join our innovation pod, focused on designing and integrating
**agentic AI systems**
built on the latest
**LLM and GenAI technologies**
. You’ll collaborate with technical leads and full-stack engineers to bring intelligent, production-grade AI capabilities to enterprise applications.
**Vetting Process**
1. **Technical Interview**
2. **15-Minute Delivery Connect**
3. **Onsite (Face-to-Face) Interview – Richardson, TX (1 Hour, Client Round)**
**Key Responsibilities**
* Design, develop, and deploy
**agentic AI systems**
using state-of-the-art LLM frameworks.
* Integrate
**Generative AI models**
into full-stack applications and internal business workflows.
* Collaborate on
**prompt engineering**
,
**model fine-tuning**
, and
**output evaluation**
.
* Build
**reusable AI components**
for multi-agent orchestration and task automation.
* Optimize AI
**inference pipelines**
for scalability, latency, and cost efficiency.
* Contribute to
**technical architecture**
and the long-term AI roadmap.
**Core Skills & Experience**
**Must Have**
* 4–8 years of
**software engineering experience**
(with at least 1–2 years in AI/ML or GenAI).
* Strong
**Python**
development background (for AI/ML model integration).
* Hands-on experience with
**LLM frameworks**
–
*LangChain*
and
*LlamaIndex*
(Required).
* Practical exposure to
**agentic frameworks**
–
*LangGraph*
,
*AutoGen*
, or
*CrewAI*
(Required).
* Working knowledge of
**Git**
,
**CI/CD**
,
**DevOps**
, and
**production-grade GenAI deployment**
.
**Nice to Have**
* Experience with
**Google Cloud Platform (GCP)**
– especially
*Vertex AI*
,
*Cloud Run*
, or
*GKE*
.
* Familiarity with
**AI APIs**
,
**embeddings**
,
**vector databases**
, and
**search integrations**
.
* Experience with
**fine-tuning open-source models**
(LLaMA, Mistral, etc.) or
**OpenAI API integration**
.
* Exposure to
**multi-modal AI systems**
(text, image, or voice).
* Experience with
**Low-Code/No-Code tools**
(e.g.,
*AppSheet*
) for workflow automation.
**Preferred Academic Background**
Candidates from
**strong academic institutions**
with a background in
**Computer Science, AI/ML, or related fields**
are preferred.