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Role & Responsibilities
Design, develop, and integrate
LLM-powered applications
into enterprise systems.
Build
REST / GraphQL APIs
for seamless AI model integration.
Implement
prompt engineering techniques
and optimize embeddings for performance.
Evaluate
LLM performance (accuracy, latency, cost)
and recommend improvements.
Work on
fine-tuning / customization
of models for enterprise use cases.
Collaborate with cross-functional teams to deliver
AI-driven productivity solutions .
Ensure compliance with
AI safety, security, and data privacy standards .
Must Have Skills
Strong
Python development
expertise.
Hands-on experience with
Large Language Models (LLMs)
(e.g., OpenAI GPT).
Experience in
REST / GraphQL API
integration.
Proficiency in
data preprocessing, embeddings, and prompt engineering .
Knowledge of
fine-tuning / customization
of LLMs for enterprise applications.
Familiarity with
vector databases .
Strong understanding of
AI safety, security, and compliance considerations .
Good to Have Skills
Experience with
Generative AI automation for enterprise productivity .
Familiarity with
cloud platforms (AWS, Azure, GCP)
for AI deployment.
Exposure to
AI / ML pipelines and MLOps .
Knowledge of
cost optimization techniques
in AI workloads.
Python Developer • Delhi, India