Senior AI Engineer Job in Bangalore at Zenara Technologies

Key Responsibilities

• RAG Pipeline Development: Build and maintain retrieval-augmented generation pipelines using LangChain and vector databases for knowledge-intensive applications
• Agentic AI Implementation: Develop autonomous AI agents and create LangGraph workflows for multi-step AI processes and domain-specific chatbots
• Tool Design & Integration: Design and develop tools that integrate with agentic frameworks such as LangChain, ADK, OpenAI SDK, and MCP. Create adapters and wrappers to convert existing APIs into tools usable by LLMs and AI agents
• Vector Database Management: Work with Pinecone, Weaviate, or pgvector to implement semantic search functionality and manage embeddings
• MLOps Support: Contribute to model deployment, monitoring, and versioning practices while collaborating with cross-functional teams

Technical Skills

Required:

• Strong Python programming (1-3 years experience)
• Experience with LangChain and LangGraph frameworks
• Working knowledge of at least one LLM API (OpenAI/Anthropic/Gemini)
• Familiarity with vector databases (Pinecone, Weaviate, or pgvector)
• Understanding of RAG architectures and semantic search
• Proficiency with Git and version control
• Basic prompt engineering skills
• Knowledge of embeddings and NLP fundamentals

Nice to Have:

• Experience with agentic AI frameworks
• MLOps tools exposure (Docker, CI/CD)
• Cloud platform experience (AWS, GCP, Azure)
• Model fine-tuning knowledge
• RESTful API design experience

Preferred Qualifications

• Bachelor&'s degree in Computer Science, Engineering, or related field
• 1-3 years of software development experience with Python
• Portfolio demonstrating AI/ML projects, chatbots, or LLM applications
• Experience building production-grade applications
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Self-motivated learner who stays current with AI technologies

Expertise in Adobe Photoshop, Illustrator & CorelDRAW