Gen AI Developer

Role - Gen AI Developer

Years of Experience - 6 to 8 years

Location - Pune and Mumbai

• Gen AI / LLM / Agentic AI
• Strong 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.
• Excellent Communication Skills
• Strong Software Engineering Background (Productionizing the models)
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business sense
• 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.
• Containerization : Practical experience with Docker for packaging and deploying applications.