Must-Have

●Solid programming skills in Python with experience in building ML/NLP applications.

●Hands-on experience with Deep Learning, Machine Learning, and Natural Language Processing.

●Proficiency in working with LLMs (e.g., GPT,Gemini, LLaMA, Mistral) and RAG architecture.

●Experience with Agentic AI frameworks and autonomous agent design.

●Familiarity with FastAPI for building RESTful APIs.

●Experience with CI/CD pipelines and deploying solutions on Azure Cloud, GCP and AWS

●Solid understanding of data structures, algorithms, and software engineering principles.

●Bachelor's or master's degree in computer science, AI, Data Science, or related field.

●Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from scratch

Expert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building complex LLM applications, including chains,, agents, memory, and tool integration

Good-to-Have





Responsibility of / Expectations from the Role

●Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures.

●Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or

TensorFlow.

●Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems.

●Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on

Azure.

●Optimize model performance and ensure robustness in production environments.

●Stay updated with the latest research and advancements in generative AI and deep learning.

●Scalability & Performance: Ability to write efficient code and consider scalability and latency implications for Gen AI applications.

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📌 Gen AI Developer (India)
🏢 Sparix Global
📍 India