Gen AI Engineer

GlobalLogic

0 years

0 Lacs

delhi india

Posted:2 days ago| Platform:

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Skills Required

ai ml integration agile prototype design fastapi flask tracking monitoring mlflow github docker azure data engineering optimization model reliability security python pytorch sql nosql openai gcp aws debugging prototyping collaboration automation reinforcement learning evaluation coding teamwork

Work Mode

On-site

Job Type

Full Time

Job Description

Job Description – AI/ML Engineer (Generative AI & LLMs

About the Role
We are looking for a passionate
AI/ML Engineer
with strong expertise in
Generative AI, LLM integration, and RAG-based applications
. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI-powered solutions such as chatbots, knowledge assistants, and semantic search systems. You will collaborate with cross-functional Agile teams to rapidly prototype, fine-tune, and productionize intelligent applications.
Key Responsibilities
Design, develop, and deploy
Generative AI applications
such as
RAG pipelines, chatbots, and knowledge assistants
.
Integrate and fine-tune
LLMs
for domain-specific use cases.
Implement
semantic search solutions
using
vector databases
(Pinecone, FAISS, Weaviate).
Build scalable APIs using
FastAPI/Flask/Django
to serve AI models.
Apply
MLOps practices
(CI/CD, experiment tracking, monitoring) using
MLflow, GitHub Actions, Docker, and cloud platforms (Azure/GCP)
.
Collaborate with product managers, data scientists, and engineers in
Agile teams
to deliver business-ready solutions.
Conduct prompt engineering and optimization for efficient model interaction.
Ensure performance, reliability, and security in deployed AI systems.
Required Skills
Programming:
Python, PyTorch, TensorFlow
Frameworks:
LangChain, Hugging Face, Agile, Prompt Engineering, RAG
Databases:
SQL/NoSQL, Vector DBs (Pinecone, FAISS, Weaviate)
Cloud & DevOps:
Docker, GitHub Actions, MLflow, Azure OpenAI (experience with GCP/AWS is a plus)
APIs:
FastAPI, Flask, Django
Strong debugging, rapid prototyping, and collaboration skills.
Good to Have
Prior experience delivering
AI-powered search tools, knowledge assistants, or automation solutions
.
Familiarity with multi-cloud deployments.
Exposure to reinforcement learning, model evaluation frameworks, and advanced NLP techniques.
Strengths We Value
Hands-on coding and problem-solving ability.
Ability to translate business needs into scalable AI solutions.
Strong teamwork and Agile collaboration.
Curiosity to explore and quickly adopt new AI technologies.

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