
Full-Stack AI Engineer
2 weeks ago
We are seeking a highly skilled
AI & Backend Engineer
with expertise in
Generative AI, backend development, and modern cloud technologies
. This role requires hands-on experience in building
AI-powered applications
, integrating
LLMs (Large Language Models)
, and developing
scalable backend services
.
The ideal candidate should have a strong background in
Python, FastAPI,
, and be proficient with
AWS services
for deploying and scaling AI-driven systems. Knowledge of
RAG (Retrieval-Augmented Generation)
,
LLM fine-tuning
, and
automation pipelines
is critical.
Key Responsibilities
- Design, develop, and deploy
AI-powered systems
leveraging
LLMs, RAG pipelines, and fine-tuning techniques
. - Build and maintain
scalable backend APIs
and services using
FastAPI, Python, and
. - Implement
automation workflows
to optimize AI pipelines, data ingestion, and deployment. - Work with
AWS cloud services
(S3, Lambda, ECS, SageMaker, etc.) for hosting and scaling AI solutions. - Integrate
Generative AI
capabilities into business workflows and applications. - Collaborate with the team to build
end-to-end AI-driven applications
(backend + light frontend). - Optimize system performance, reliability, and security for AI and backend services.
- Stay up to date with the latest in
GenAI, ML frameworks, and backend best practices
.
Required Skills & Qualifications
Strong expertise in
Python
(FastAPI, Flask, or Django)
Experience with
for backend services
Hands-on experience with
RAG (Retrieval-Augmented Generation)
and
LLM fine-tuning
Knowledge of
Generative AI frameworks
(LangChain, Hugging Face, OpenAI APIs, etc.)
Strong experience in
cloud infrastructure (AWS preferred)
– EC2, S3, Lambda, SageMaker, API Gateway
Proficiency in
automation tools
(CI/CD, workflows, MLOps pipelines)
Solid understanding of
databases
(SQL & NoSQL)
Familiarity with
frontend frameworks
) is a plus
Strong problem-solving skills and ability to work independently
Nice-to-Have
- Experience with
containerization & orchestration
(Docker, Kubernetes) - Knowledge of
vector databases
(Pinecone, Weaviate, FAISS, etc.) - Background in
ML/DL frameworks
(PyTorch, TensorFlow) - Familiarity with
API design and microservices
architecture
What We Offer
- 12-month
contract role
(with extension potential) - Opportunity to work on
cutting-edge Generative AI projects - Collaborative environment with flexibility and ownership
-
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