Skip to content

Search jobs inside your AI agent. ClaudeChatGPTCursorGrok Bot

Connect

Consultbae

NewBe an early applicant

Senior Staff Engineer - Generative AI / Agentic AI

Posted Updated 1 view
Discussion

Description

Job Description

REQUIREMENTS:

  • Total experience 10+ years.
  • Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
  • Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
  • High proficiency in Python and standard AI/ML libraries (e.g., LangChain,LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn,PyTorch/TensorFlow).
  • Experience implementing RAG architectures and prompt engineering.
  • Strong experience with fine-tuning and distillation techniques and evaluation.
  • Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
  • Strong understanding of vector databases (e.g., Weaviate, Neo4j)
  • understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
  • Proven track record in deploying AI/ML solutions into production environments.
  • Familiarity with MLOps pipelines for automation and monitoring.
  • Experience working on generative AI applications
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

  • Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
  • Mapping decisions with requirements and be able to translate the same to developers.
  • Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
  • Defining guidelines and benchmarks for NFR considerations during project implementation.
  • Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
  • Reviewing architecture and design on various aspects like extensibility,scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
  • Developing and designing the overall solution for defined functional and non- functional requirements; and defining technologies, patterns, and frameworks to materialize it.
  • Understanding and relating technology integration scenarios and applying these learnings in projects.
  • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
  • Carrying out POCs to make sure that suggested design/technologies meet therequirements.


Skills

What Staff AI Engineering jobs ask for — and how much of it you have →
Apply

See also

AI Engineering jobs by country — openings, pay and top skills →