Gen AI 2 to 3 years
1 week ago
Key Responsibilities
- Design, develop, and deploy
Generative AI solutions
leveraging LLMs (e.g. OpenAI, Anthropic, Gemini, Mistral). - Build, fine-tune, and evaluate
LLMs and multimodal models
(text, image, voice). - Integrate AI models with
APIs and web applications
to solve business problems. - Research and apply state-of-the-art methods in
prompt engineering
,
RAG (Retrieval-Augmented Generation)
,
LangChain
, and
vector databases (Pinecone, Chroma, Weaviate)
. - Collaborate with product and engineering teams to transform business requirements into
AI-powered solutions
. - Optimize model performance, cost, and latency for production use.
- Stay updated with latest
GenAI frameworks, libraries, and papers
to bring innovative ideas into implementation.
Required Skills & Experience
- 2–3 years of hands-on experience in
AI/ML, NLP, or Generative AI
projects. - Strong proficiency in
Python
,
LLM APIs
, and frameworks like
LangChain / LlamaIndex / Hugging Face
. - Solid understanding of
prompt design
,
embedding models
,
vector databases
, and
RAG pipelines
. - Experience with
OpenAI API
,
Hugging Face Transformers
, and
Fine-tuning models
. - Familiarity with
cloud platforms (AWS, GCP, Azure)
for model deployment. - Experience integrating AI models into web apps via
REST APIs
or
microservices
. - Good problem-solving, analytical, and communication skills.
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