About Azentio
Azentio Software incorporated in 2020 at Singapore, has been carved out of 3i Infotech, Beyontec Technologies and Path Solutions. Azentio Software provides mission critical, vertical-specific software products for customers in banking, financial services and insurance verticals and includes key products such as KASTLE™ (Universal Lending), AMLOCK™ (Anti-Money Laundering & Compliance software suite), iMal, PREMIA™ Astra (Core Insurance software), ORION™ (Enterprise Resource Planning software) and MFUND Plus™ (Asset Management platform). Azentio has over 800 customers in more than 60 countries, with a team of over 2,300 employees across offices in 12 countries (and growing) globally and is wholly owned by Funds advised by Apax Partners.
Azentio offers a comprehensive range of products – serving core operations to modern digital needs – for the financial services industry. Our deep domain knowledge and solutions in financial services extend across insurance, retail and corporate lending, Islamic Banking, anti-money laundering and asset management. In addition, Azentio proudly serves mid-market enterprises across the Middle East, Africa, Asia Pacific, and India with a comprehensive ERP solution.
At Azentio, we believe that growth is a continuous journey. We believe that each step of this journey must be taken by committing to excellence - excellence in our products, our services, our ideas, and our people.
Job Title: AI Lead Engineer (Banking AI Agents)
Years of Experience: 7-10 years
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Relevant AI/ML Experience: Minimum 2 years hands-on
Location: Bangalore
We are looking for an experienced AI/ML Engineer who combines strong fundamentals in Data Science and Machine Learning with hands-on expertise in modern Generative AI systems, including LLMs and SLMs.
This role is not limited to prompt engineering or orchestration frameworks. We are seeking engineers who deeply understand traditional ML techniques, statistical learning, data modeling, and AI system design, and can apply those foundations to build reliable enterprise-grade AI platforms and intelligent applications.
This role requires engineers who can architect and implement enterprise-grade AI solutions — not just experiment with theoretical AI concepts. Candidates must have real-world experience designing scalable, secure, explainable, and production-ready AI systems in regulated environments.
The selected engineers will work on building intelligent banking agents capable of:
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Conversational interactions
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Observational and event-driven reasoning
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Workflow orchestration
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Decision support
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Context-aware automation
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Enterprise integrations
Key Responsibilities:
Core AI/ML & Data Science
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Design, develop, and optimize Machine Learning models using supervised, unsupervised, and reinforcement learning techniques.
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Build robust data pipelines for feature engineering, preprocessing, model training, evaluation, and monitoring.
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Work with structured, semi-structured, and unstructured datasets across large-scale environments.
Generative AI & LLM Engineering
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Design and implement enterprise-grade solutions using LLMs/SLMs.
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Build RAG pipelines, agentic workflows, semantic search systems, and AI copilots.
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Fine-tune, evaluate, and optimize open-source and commercial language models.
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Work with vector databases, embeddings, retrieval systems, and inference optimization frameworks such as vLLM.
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Implement prompt engineering, context management, grounding, hallucination reduction, and response evaluation strategies.
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Develop scalable multi-user AI serving architectures for enterprise workloads.
AI Platform & Engineering
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Develop production-ready AI/ML services, APIs, and scalable inference pipelines.
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Collaborate with product, data, and engineering teams to operationalize AI systems.
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Implement observability, tracing, evaluation, governance, and monitoring for AI applications.
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Ensure performance, scalability, reliability, security, and responsible AI practices.
Required Skills
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Strong Foundations in AI/ML
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Strong understanding of:
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Machine Learning algorithms
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Statistical modeling
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Predictive analytics
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Feature engineering
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Model evaluation and tuning
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Experience with:
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Python
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Pandas
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NumPy
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Scikit-learn
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TensorFlow or PyTorch
Generative AI Expertise
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Hands-on experience with:
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LLMs and SLMs
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RAG architectures
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Embedding models
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Vector databases
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LangChain, LangGraph, CrewAI, or similar orchestration frameworks
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vLLM or similar inference frameworks
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Open-source models such as Llama, Mistral, Qwen, Gemma, etc.
Preferred Qualifications
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Experience in banking or financial services domain.
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Experience building enterprise AI reporting, analytics, or decision intelligence systems.
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Knowledge of observability platforms such as Langfuse, OpenTelemetry, Zipkin, or equivalent.
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Experience with NL2SQL systems, semantic layers, or data dictionary-driven AI systems.
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Exposure to fine-tuning, quantization, inference optimization, and model serving at scale.
What We Are Looking For:
We value engineers who understand that Generative AI is an extension of strong AI/ML fundamentals — not a replacement for them. The ideal candidate should be capable of combining traditional ML rigor with modern LLM engineering to build scalable, trustworthy, and intelligent enterprise AI systems.
Education
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Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related field.
What we Aim for?
Azentio aims to be the leading provider of Banking, Financial Services & Insurance (BFSI) & Enterprise Resource Planning (ERP) software products in Asia Pacific, Middle East & Africa & United States. We will achieve this by:
Providing world class software products, built on the latest technologies.- Providing best in class customer service, built on a deep understanding of our domains and local nuances.
- Being an employer of choice, attracting high quality talent.
- Achieving top quartile growth and margins.
Azentio Core Values:
We work as one, Collaborate without boundaries, and win together.
We work with Uncompromising Integrity and Accountability.
Customer is at the core of all that we do.
We are Diverse and Inclusive. We treat our people, our customers and our wider community
with Respect and Care.
We Innovate, we Excel and we Grow Together.
We Give Back to our communities through our business and our people.
We take Pride in all that we do and together we Enjoy the journey
