
Python + Generative AI Engineer
1 day ago
Note - This opportunity is on behalf of one of our esteemed clients – we're assisting them with the hiring process.
**Location: Gurugram (Gurgaon)
Field: Python & Generative Artificial Intelligence
Education: Bachelor's / Master's degree in Computer Science, AI/ML, Data Science, or related field (or equivalent experience).
Experience:**
2 years+
Job Overview
We are seeking a highly skilled
Python + Generative AI Engineer
to design, develop, and deploy cutting-edge
AI solutions
. The ideal candidate will have strong
Python
programming expertise combined with hands-on experience in building, fine-tuning, and integrating
Generative AI models into scalable applications.
Key Responsibilities:
- Design and implement AI-driven applications using
Python
and
Generative AI frameworks
. - Fine-tune and optimize
LLMs
(e.g.,
GPT,
LLaMA
,
Falcon
) for domain-specific use cases. - Develop APIs
and microservices to integrate AI models with enterprise systems. - Implement retrieval-augmented generation (RAG) pipelines, embeddings, and vector databases (e.g.,
Pinecone, FAISS, Chroma
). - Build and maintain
CI/CD pipelines for AI/ML deployments. - Collaborate with cross-functional teams (Data Science, DevOps, Product) to deliver scalable AI solutions.
- Ensure AI model performance, security, and compliance standards are met.
- Research and adopt emerging AI/ML techniques for continuous improvement.
Required Skills & Qualifications:
- Programming
: Strong expertise in Python (FastAPI / Flask preferred). - Generative AI
: Experience with OpenAI API, Hugging Face Transformers, LangChain, LLaMA, or similar. - Machine Learning
: Solid understanding of NLP, embeddings, prompt engineering, and fine-tuning LLMs. - Infrastructure
: Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS / GCP / Azure). - Databases
: Familiarity with vector DBs (Pinecone, FAISS, ChromaDB) and relational DBs (PostgreSQL/MySQL). - DevOps
: Experience in CI/CD pipelines, Git, and model deployment best practices. - Strong problem-solving skills and ability to work in fast-paced, agile environments.
Good to have
- :
Knowledge of agentic AI workflows and multi-agent orchestration
- . Exposure to security and compliance aspects in AI model deployment
- . Contributions to open-source AI project
- s.Experience in integrating AI with third-party tools/APIs
.
Why Join U
- s?
Opportunity to work on next-gen AI products impacting real-world industrie
- s. Collaborative and innovative work cultur
- e. Continuous learning with access to latest AI research and tool
s
**.
Job T
ype: Full-t
ime
Sh
ift: Day sh
ift
Work Locat**
ion: On-site
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