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About
Role Summary
We are looking for a
Backend Engineer
with strong experience in
Python, LLM integration, and data engineering . The ideal candidate will have hands-on expertise in
prompt engineering, fine-tuning LLMs, and working with LangChain and vector databases , while also ensuring robust API and backend development on modern cloud platforms.
Key Responsibilities
Design, develop, and maintain
backend services and APIs
with a strong focus on scalability and performance. Implement
LLM-based solutions , including
prompt engineering and fine-tuning
of large language models. Build and optimize pipelines leveraging
LangChain, vector databases, and LLM frameworks (OpenAI, Vertex AI, Hugging Face Transformers, etc.) . Develop and integrate
REST APIs
to support AI-driven applications and workflows. Work on
cloud platforms
(AWS, GCP, or Azure) for deployment, scaling, and monitoring. Collaborate with cross-functional teams to deliver end-to-end
AI-powered solutions . Required Skills & Experience
5+ years
of professional experience in
software/data engineering
with a backend focus. Strong
Python programming expertise . Hands-on experience with
LangChain, LLMs (OpenAI, Vertex AI, Hugging Face, etc.), and vector databases . Knowledge of
prompt engineering and LLM fine-tuning techniques . Strong understanding of
REST API design and integration . Experience with
cloud environments
(AWS, GCP, or Azure). Good to Have
Experience with
ETL/ELT pipelines
and handling
large datasets . Strong knowledge of
data preprocessing
for ML/AI applications. Familiarity with
application security
(authentication, authorization, vulnerability mitigation). Exposure to
DevOps tools
(Docker, Kubernetes, GitHub Actions, Jenkins, etc.). Experience with
FastAPI
for building high-performance APIs.
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.