Cloud Engineer: Gen AI
- Niveus Solution
- 3 - 4 years
- Bengaluru
- 1 month ago
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Job Description
We are seeking a highly skilled and experienced Data Scientist with a minimum of 3+
years of experience in Data Science and Machine Learning, preferably with experience in
LLMs, Generative AI and Agentic AI. The candidate should have strong Python
programming skilla, a deep understanding of AI technologies and experience in
designing and implementing cutting-edge AI models and systems. Ideally, youll also
have:
Core Logic: Strong proficiency in Python (Pandas, NumPy) and API frameworks
(FastAPI or Flask).
GenAI Stack: Experience with orchestration frameworks like LangChain or LlamaIndex
LLMs: Deep understanding of open-source models (Hugging Face).
Database: Experience with Vector Databases for semantic search and SQL/NoSQL for structured data.
Engineering: Familiarity with Docker, Git, and CI/CD pipelines.
Experience building "Agentic" workflows (Autogen, LangGraph).
Knowledge of model quantization and local inference (Ollama, vLLM).
Experience engaging with stakeholders to translate business needs into AI solutions.
Experience with cloud platforms such as GCP or AWS.
Utilize tools such as Docker and Git to build and manage AI pipelines.
Roles & Responsibilities
The role will, as part of data labs, be responsible for developing, designing, and
maintaining cutting-edge AI-based systems, ensuring smooth and engaging user
experiences. Additionally, the candidate will participate in a wide variety of GenAI
inference, fine-tuning, refining and optimizing prompts to improve the outcome of Large
Language Models (LLMs), and code and design review. The typical duties of the role
might include, but not limited to:
Working across backend and full-stack teams to develop and architect Generative
AI solutions using ML and GenAI.
Architect & Build: Design and develop scalable GenAI solutions (Chatbots, Agents, Copilots)
using Python and FastAPI.
Agentic AI: Build autonomous agents capable of tool calling, reasoning, and executing
complex workflows.
RAG Pipelines: Implement advanced Retrieval Augmented Generation (RAG) systems,
optimizing for context retrieval using Vector Databases (e.g., Pinecone, Weaviate,
ChromaDB).
Model Optimization: Perform fine-tuning of open-source models (Llama 3, Mistral) and
optimize prompt engineering for cost, latency, and accuracy.
Deployment: Containerize applications using Docker and collaborate with DevOps to deploy
models on cloud platforms (AWS/GCP).
Evaluation: Implement evaluation frameworks (e.g., Ragas, TruLens) to monitor model
hallucination and performance.
Implement monitoring and logging tools to ensure AI model performance and reliability.
Collaborating with software engineers and operations teams to ensure seamless
integration and deployment of AI models.
Track record of driving innovation and staying updated with the latest AI research
and advancements.
Education:
Bachelor's or Master's degree in Computer Science, Engineering, or a related
field.
Work exp:
3+ years of total experience in Data Science or Software Engineering.
1-2 years of hands-on experience specifically with LLMs and Generative AI.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: Niveus SolutionLocation(s): Bengaluru
Keyskills: continuous integration ci/cd numpy artificial intelligence sql docker cloud tensorflow git data science gcp devops pytorch software engineering api deep learning frameworks cd python machine learning nosql pandas framework ai techniques aws flask open ci cd pipeline
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Niveus Solution
About us : With over 10+ years of proven expertise in technical consultation and related services, Niveus Solutions is a renowned name in providing technology and business solutions to modernize organizations using Google Cloud. As a Google Cloud Partner, Niveus has evolved as an outstanding ser...
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