Role & responsibilities
Key Responsibilities
Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation.
Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments.
Integrate AI agents with APIs, databases, and external tools to enable real-world task execution.
Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG).
Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production.
Conduct research and stay up to date with the latest advancements in generative and agentic AI.
Ensure ethical, safe, and responsible AI development practices.
Preferred candidate profile
Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field.
3+ years of experience in machine learning, with a focus on generative models or autonomous agents.
Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models
. Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents)
. Experience with AWS and Snowflake services
Prior Healthcare experience
Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
Excellent problem-solving and communication skills.
Preferred Immediate joiners, Serving notice max 15-20 days

Keyskills: Pytorch Generative Ai LLM Machine Learning Python Snowflake AWS Deep Learning agent frameworks
SP Software (P) Limited, a flagship of SP Group, is a leading enterprise business software and information technology (IT) Services company, providing IT Consulting, technology and outsourcing services. Founded in 1995, SPSoft is one of the fastest growing IT companies in India having strong strateg...