Applore Technologies - Senior Generative AI Engineer - Data Modeling

Job Description :

We are seeking a highly experienced Senior Gen AI Engineer to join our engineering team focused on designing, developing, and deploying cutting-edge Generative AI and Large Language Model (LLM) based solutions. This is a hands-on role requiring deep technical expertise in Python, modern AI frameworks, and system-level thinking to translate complex business requirements into scalable and production-ready AI applications. You will play a pivotal role in shaping the GenAI strategy and delivering high-impact solutions for real-world enterprise use cases.

Responsibilities :

- GenAI System Design & Development : Build intelligent, context-aware systems using frameworks like Langchain and Retrieval-Augmented Generation (RAG).

- Prompt Engineering & Agent Workflows : Apply advanced prompt engineering and develop agent-based architectures for dynamic user interaction and reasoning.

- Technical Roadmapping : Collaborate with engineering leadership to define and implement the technical roadmap for GenAI and LLM initiatives.

- Solution Delivery : Translate business and functional requirements into scalable, robust, and maintainable AI/ML solutions.

- Cross-Team Collaboration : Work closely with business SMEs, product teams, and data

engineers to align model outputs with domain-specific goals.

- Code & Architecture Excellence : Participate in system design, code reviews, and performance

optimization of deployed solutions.

Requirements :

- Proficient in Python, Langchain, and SQL.

Deep understanding of LLM internals, including :

- Prompt tuning

- Embeddings

- Vector databases (e. g., FAISS, Pinecone)

- Agent workflows

- Strong foundation in Machine Learning or Software Engineering, especially in system design

and architecture.

- Experience working on cloud platforms : AWS, Azure, or GCP.

- Ability to work autonomously and deliver in cross-functional environments.

- Strong communication skills, including experience with stakeholder engagement and

technical documentation.

- 1+ years of hands-on experience in LLMs and Generative AI technologies.

- Demonstrated experience contributing to or leading ML/AI product pipelines and end-to-end

deployments.

- Familiarity with MLOps, CI/CD for ML, and model monitoring in production.

- Previous exposure to client-facing projects or collaborative work with business units and AI

teams.