Job Title

We are hiring for our client who is looking for someone who has hands-on experience with engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: ● Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. ● Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. ● Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. ● Translate business needs into scalable, production-ready AI solutions. ● Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. ● Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: ● Proficient in Python, Langchain, and SQL. ● Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. ● Background in machine learning or software engineering with a focus on system-level thinking. ● Experience working with cloud platforms like AWS, Azure, or GCP. ● Ability to work independently while collaborating effectively across teams. ● Excellent communication and stakeholder management skills. Preferred Qualifications: ● 1+ years of hands-on experience in LLMs and Generative AI techniques. ● Experience contributing to ML/AI product pipelines or end-to-end deployments. ● Familiarity with MLOps and scalable deployment patterns for AI models. ● Prior exposure to client-facing projects or cross-functional AI teams.