Agentic AI

Agentic AI

“We are looking to hire AI Engineers in the Pune location. We have ambitious goals for ampliFi and are looking for motivated colleagues to partner with us on this journey.

While the skillsets needed span Agentic AI, Generative AI, and classical ML modelling too – we may not need someone to have the expertise in each field – but some of these and learning continuously in earnest.

They should be self-starters and mature engineers, with a logical mindset and the smarts to figure things out.

Agentic AI + Machine Learning

Agentic AI + Generative AI

Agentic AI will be considered a mandatory skill, with preference given to candidates having Machine Learning experience over Generative AI.”

DETAILED JD –

Are you passionate about building scalable, intelligent AI models and agents that transform finance business processes? Do you enjoy working with cutting-edge AI technologies like Machine Learning, Generative AI, and Agentic AI? Are you confident at embedding AI into business workflows to create measurable value? Do you like to be challenged and encouraged to learn and grow professionally?

We’re looking for an AI Engineer to:

Design and implement AI capabilities (models, assistants and agents) for Finance

Develop capabilities and predictive models for anomaly detection, clustering, classification, variance analysis and forecasting.

Develop assistants and agents for contextual commentary generation, driver analysis and other actional workflows in Finance.

Build production-grade scalable AI solutions in a multi-agentic architecture.

Work with a global team of AI scientists, engineers, and business stakeholders to deliver impactful AI products.

Take ownership of end-to-end delivery within a collaborative and agile environment.

Embrace complex business requirements and enjoy the challenge of translating them into intelligent solutions.

Work as part of an agile development team within a global technology team.

Your expertise

Proven hands-on experience in AI/ML model and agent development and deployment.

Strong proficiency in Python programming for AI and data workflows.

Proficiency with Machine Learning, Generative AI, and Agentic AI.

Experience with AI Ops, MLOps, and production-grade pipeline design for AI solutions.

Knowledge of libraries like openai, langchain, langgraph, h2o, scikitlearn, keras/tensorflow

Knowledge of SQL, Spark, and Databricks ML for data processing and analytics is a plus.

Skills with cloud engineering for AI preferably Azure AI Foundry and Cognitive Services.

Strong analytical and problem-solving skills, with a creative mindset.

Ability to think AI and embed it into business processes and deliver measurable outcomes.

Curious to learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.

Strong communicator, from making presentations to technical writing.

A self-starter with meticulous attention to detail and a growth mindset.