3–6 yrsRemoteDirect career pageEst. 14–30 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy generative AI and conversational AI solutions using LLMs and agentic workflows.
- Build scalable and production-ready AI pipelines and APIs (FastAPI/Flask) to serve AI models impacting millions of users.
- Collaborate with data engineers for dataset preprocessing and optimize AI model performance aligned with business goals.
Minimum Requirements
- 3 to 6 years of professional experience in ML/AI with focus on modern LLM implementations.
- Bachelor's, Master's, or PhD in Computer Science, Data Science, or related field.
- Strong proficiency in Python and experience with AI/LLM libraries (e.g., transformers, vLLM, accelerate, PEFT/LoRA).
- Experience building and deploying AI model serving APIs using FastAPI or Flask.
Ideal Candidate Profile
- Experienced in implementing AI solutions with modern orchestration frameworks (e.g., LangChain, LlamaIndex) and agentic AI systems (e.g., LangGraph, AutoGen).
- Hands-on with advanced AI tools including Google AI SDK, OpenAI SDK, vector DBs, RAG pipelines, and cloud ML deployment (AWS/Azure/GCP).
- Skilled in fine-tuning deep learning models (TensorFlow/PyTorch) and deploying scalable production-level AI workflows integrating multi-agent orchestration.