Gen AI Lead/Architect

Gen AI Lead/Architect Engineer JD (5-8 years)

About the Role

hands-on and forward-thinking Gen AI Lead Engineer

LLaMA

This role is perfect for someone who thrives at the intersection of research, engineering, and real-world applicationowning everything from system design to scalable deployment.

Key Responsibilities

• Design, build, and deploy ML/DL models for:

• Tabular data

  (e.g., XGBoost)

• NLP and GenAI

  (e.g., RAG, tool/function calling)
• Fine-tune and serve LLMs using

  Hugging Face

  ,

  PyTorch

  , and efficient-tuning techniques like

  LoRA

  ,

  QLoRA

  , and

  PEFT

  .
• Architect and implement agent-based LLM solutions with tools like

  LlamaIndex

  ,

  LangGraph

  , or

  LangChain Agents

  .
• Design multi-step tool-calling workflows and structured function-calling strategies for complex tasks.
• Orchestrate agent memory, state management, and contextual conversations.
• Develop and maintain

  FastAPI microservices

  for low-latency GenAI inference, streaming, and secure system integration.
• Deploy ML pipelines and training jobs in the cloud (preferably

  Azure

  , also

  AWS

  ).
• Handle end-to-end MLOps: CI/CD, containerization (Docker), GPU/ACI deployment, observability, and cost governance.
• Collaborate cross-functionally with product, data, and frontend teams to translate abstract ideas into tangible outcomes.
  

Required Skills & Qualifications

• Strong Python programming skills; experience with

  FastAPI

  and/or

  Java

  is a plus.
• Proven experience with:

• XGBoost

  or similar ML models for tabular data.

• YOLO

  ,

  OCR

  , and PyTorch for vision and text extraction tasks.

• Deep knowledge in NLP / GenAI:
• LLM fine-tuning, prompt engineering, and RAG design.
• Proficiency with

  Hugging Face Transformers

  ,

  PEFT

  , and vector databases.
• Implementation of agent frameworks like

  LlamaIndex

  ,

  LangGraph

  , or

  LangChain Agents

  .
• MLOps & Deployment:
• Experience with Docker, CI/CD pipelines, experiment tracking, model versioning, and rollback mechanisms.

• Cloud Proficiency:

• Azure ML

  , Azure Functions, AKS (preferred) or

  AWS SageMaker

  , Lambda.

• Bonus

  : experience with Triton / vLLM, streaming websockets, or GPU cost-optimization.

Benefits of Working with Us:

• Best of Both Worlds: Enjoy the enthusiasm and learning curve of a startup combined with the deliveries and performance of an enterprise service provider.
• Flexible Working Hours: We offer a delivery-oriented approach with flexible working hours to help you maintain a healthy work-life balance.
• Limitless Growth Opportunities: The sky is not the limit when it comes to learning, growth, and sharing ideas. We encourage continuous learning and personal development.
• Flat Organizational Structure: We don't follow the typical corporate hierarchy ladder, fostering an open and collaborative work environment where everyone's voice is heard.

As part of our dedication to an inclusive and diverse workforce, TechChefz Digital is committed to Equal Employment Opportunity without regard to race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. If you need assistance, you may contact us at joinus@techchefz.com