Generative AI Engineer
Job Description
AI Engineer / Generative AI Engineer
Location: Kochi, Kerala (Onsite)
Job type: Full-time
Job Summary
We are seeking an AI Engineer with 2-4 years of experience in designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate should possess strong Python development skills and hands-on experience building intelligent applications that leverage modern AI technologies to solve real-world business problems.
Key Responsibilities
- Design, develop, and maintain Generative AI applications powered by Large Language Models (LLMs).
- Build and optimize Retrieval-Augmented Generation (RAG) systems for knowledge retrieval and question-answering use cases.
- Develop Agentic AI solutions capable of reasoning, planning, tool usage, and workflow automation.
- Design and implement AI-powered assistants, copilots, and conversational systems.
- Integrate AI applications with external APIs, databases, and third-party services.
- Develop scalable backend services and APIs to support AI applications.
- Build data ingestion, processing, and knowledge management pipelines.
- Implement semantic search and vector search solutions for efficient information retrieval.
- Conduct model evaluation, prompt optimization, and performance tuning.
- Collaborate with cross-functional teams to identify and deliver AI-driven business solutions.
- Stay up to date with advancements in Generative AI, LLMs, and Agentic AI technologies.
Required Skills
Programming & Development
- Python
- API Development (REST APIs)
- Backend Development
- Software Design Principles
- Git Version Control
Generative AI & LLMs
- Large Language Models (LLMs)
- Prompt Engineering
- Structured Outputs
- Function Calling / Tool Calling
- Model Evaluation
- Context Management
- AI Guardrails and Reliability
AI Architectures
- Retrieval-Augmented Generation (RAG)
- Agentic AI Systems
- Multi-Agent Systems
- AI Workflow Automation
- Conversational AI
- Knowledge Retrieval Systems
Search & Data Systems
- Vector Databases
- Embeddings
- Semantic Search
- Hybrid Search
- Data Processing and Transformation
Databases
- SQL Databases
- NoSQL Databases
- Vector Databases
- Graph Databases
Good to Have
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with managed AI services and model hosting platforms.
- Knowledge of containerization technologies such as Docker.
- Experience integrating AI solutions with enterprise applications and business workflows.
- Exposure to document intelligence, information extraction, or automation platforms.
- Understanding of scalable system design and distributed architectures.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Experience building and deploying AI applications in production environments.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
PriceSenz is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, or disability.
