We are looking for a highly motivated AI/ML Engineer with strong interest and hands-on experience in Generative AI, Large Language Models (LLMs), and intelligent AI-powered applications.
The ideal candidate should possess strong foundations in Machine Learning, NLP, Python development, and modern AI frameworks while working on real-world enterprise AI systems.
This role offers an opportunity to work on cutting-edge LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI agents, and scalable Generative AI platforms used in enterprise workflows.
Candidates should have strong problem-solving skills, passion for AI innovation, and the ability to work in fast-paced research and engineering environments.
Key Responsibilities :
– Develop and support AI/ML solutions focused on Generative AI and Large Language Models (LLMs).
– Work on AI-powered enterprise applications including chatbots, AI assistants, automation workflows, and intelligent search systems.
– Build and optimize Retrieval-Augmented Generation (RAG) pipelines and prompt engineering workflows.
– Support development of agentic AI systems, tool-calling frameworks, and multi-step reasoning workflows.
– Fine-tune, evaluate, and optimize LLM models for enterprise use cases.
– Collaborate with senior AI engineers, architects, and product teams to deliver scalable AI solutions.
– Develop backend APIs and AI integration services for enterprise applications.
– Work on vector databases, embeddings, semantic search, and AI orchestration frameworks.
– Participate in model evaluation, experimentation, benchmarking, and AI performance optimization.
– Ensure scalability, reliability, security, and performance of AI applications.
– Stay updated with latest advancements in Generative AI, LLMs, NLP, and AI frameworks.
– Contribute to AI research initiatives, proof-of-concepts, and innovation projects.
Required Skills :
– 2- 4 years of experience in AI/ML Engineering, Machine Learning, or Backend AI development.
– Strong hands-on experience in Python programming.
– Good understanding of Machine Learning, NLP, and Generative AI concepts.
– Experience working with LLMs, prompt engineering, and AI APIs.
– Knowledge of RAG pipelines, embeddings, vector databases, and semantic search concepts.
– Familiarity with frameworks such as LangChain, LlamaIndex, Hugging Face, or similar AI ecosystems.
– Experience building REST APIs and backend services.
– Knowledge of SQL/NoSQL databases and data processing workflows.
– Strong analytical, debugging, and problem-solving capabilities.
– Good communication and collaboration skills.
Good to Have Skills :
– Exposure to Agentic AI systems and AI workflow orchestration.
– Experience with cloud platforms such as AWS, Azure, or GCP.
– Exposure to Docker, Kubernetes, or MLOps workflows.
– Experience working on voice-based AI or real-time AI applications.
– Knowledge of fine-tuning, evaluation frameworks, and AI observability tools.
– Contributions to AI research, hackathons, or open-source projects.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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