Senior AI Engineer

Company Description

Zenara Technologies is a forward-thinking fintech engineering company that specializes in building intelligent, secure, and scalable technology solutions for the digital finance industry. The company focuses on developing advanced systems, AI-driven solutions, and digital platforms to enhance consumer and enterprise financial experiences. Zenara Technologies is dedicated to modernizing financial infrastructure, enabling intelligent automation, and creating future-ready solutions that ensure reliability, compliance, and innovation. Their expertise in engineering and product design is shaping the future of smarter, safer, and more intuitive financial services.

Position Overview

We are seeking an experienced Senior AI Engineer to design and implementation of sophisticated AI solutions using large language models, agentic AI frameworks, and advanced RAG systems. You will also involve in architecting scalable AI systems, mentor engineers, and drive innovation in our AI products.

Experience Level:

Employment Type:

Location:

Key Responsibilities

1.    Advanced RAG Architecture:

Agentic AI Leadership:

Tool & Integration Architecture:

AI-Driven Insights & Optimization:

MLOps & Production Engineering:

Technical Leadership & Mentorship:

Technical Skills

Required:

·       Expert Python programming with strong software engineering fundamentals

·       Deep expertise in LangChain and LangGraph frameworks

·       Production experience with OpenAI, Anthropic, and Gemini APIs

·       Advanced knowledge of vector databases (Pinecone, Weaviate, pgvector)

·       Proven track record building complex RAG architectures

·       Strong experience with agentic AI and autonomous systems

·       Mastery of prompt engineering and optimization techniques

·       Expertise in semantic search, embeddings, and hybrid retrieval

·       Solid MLOps practices (CI/CD, monitoring, deployment)

·       Experience with model fine-tuning and evaluation methodologies

·       Proficiency with cloud platforms (AWS, GCP, or Azure)

·       Understanding of LLM limitations and mitigation strategies

·       Demonstrated ability to design scalable, production-ready AI systems

·       AI safety and responsible AI practices knowledge

Preferred Qualifications

·       Bachelor's/Master’s degree in Computer Science, Engineering, or related field

·       4-6 years of software engineering with 2+ years focused on AI/ML

·       Demonstrated experience delivering production AI applications at scale

·       Track record of technical ownership and mentoring engineers

·       Portfolio of shipped AI products with measurable business impact

·       Strong system design and basic architecture capabilities

·       Excellent technical communication for diverse audiences

·       Experience with cross-functional collaboration in agile environments

Application Process

To apply, please submit:

·       Send your resume to

·       Portfolio or GitHub profile with production AI systems you've built

• Cover letter describing your most complex AI project and technical approach