Ai engineer/python developer (bangalore, india based) Jobs

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Lead Associate, Product Engineering

BetaNXT Inc -
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

Spring Boot
BCS
TensorFlow
CI/CD
Node.js
Computer Science
React
PyTorch
Full-stack development
System design
Java
Microservices
AWS
Analysis skills
Bachelor's degree
Continuous integration
Natural language processing
Angular
Software development
APIs
Agile
AI
Python
Spring framework

Full job description

Level/Function: Lead Associate, Product Engineering

Title: Lead Associate, AI

About BetaNXT

BetaNXT is a leading provider of frictionless wealth management infrastructure, real-time data solutions, and an enhanced advisor experience. We invest in platforms, products, and partnerships to accelerate growth for the ecosystem we serve. Our connective approach empowers our clients to deliver a comprehensive, end-to-end advisor and investor experience.

BetaNXT is a premier provider of technology, data, and operations as services to a rich client base of wealth managers, institutional wealth firms, and digital brokers. It is comprised of three industry-leading businesses which, combined, provide end-to-end solutions across the investment lifecycle.

Duties & Responsibilities

Overview of the AI Engineer

We are seeking a hands-on Full Stack AI Engineer to join our team and contribute to design, architect & build AI solutions that streamline internal processes as well as enable product innovations. You'll work alongside architects ,peer developers and product teams to apply AI/ML technologies to real-world business problems, helping us leverage our automation and data platforms to improve operational efficiency and client value.

This is a hybrid position based out of our Bangalore India office location.

Core Software Development

Design, develop, and maintain scalable applications using modern development frameworks such as Angular, ReactJS, Node.js, Java, Python, or Spring Boot.
Build reusable components, APIs, and services aligned with enterprise coding standards.
Contribute to solution architecture, system integrations, and overall platform modernization initiatives.
Collaborate with product teams and architects to translate business requirements into technical implementations.

AI & Automation

Integrate AI/ML capabilities into existing or new applications
Assist in building lightweight AI prototypes and proof-of-concepts for internal use cases.
Support model lifecycle tasks where required (basic training, evaluation, deployment, monitoring).
Apply responsible AI principles ensuring data privacy, governance, and explainability.

Collaboration & Delivery

Work with cross-functional teams to understand use cases, refine requirements, and ensure seamless delivery.
Support internal stakeholders by automating processes and reducing manual effort through development + AI-driven enhancements.
Participate in agile ceremonies, release planning, and project execution aligned with enterprise objectives.

Required Skills & Experience

Software Development (Full stack Engineering experience)
Bachelor's degree in Computer Science, Engineering, AI/ML or related field.
4+ years of strong software development experience in at least two of the following:
- Angular
- Node.js
- ReactJS
- Java / Spring Boot
- Python
Strong understanding of system design, microservices, APIs, CI/CD, and development best practices.

AI/ML Exposure

1–3 years of hands-on experience working with AI/ML components (not necessarily as a primary role).
Familiarity with TensorFlow, PyTorch, scikit‑learn, or NLP tools.
Exposure to GenAI concepts such as LLMs, embeddings, vector search, or RAG.
Experience with platforms like AWS Bedrock, SageMaker, Amazon Q, or similar cloud AI services.
Eagerness to dive deep in AI world.

Additional Skills

Strong analytical thinking and problem-solving abilities.
Ability to articulate technical concepts in a clear, structured way.
Experience working in agile environments and collaborating with multi-disciplinary teams.

Preferred Qualifications

Full stack Engineering experience
Experience integrating AI capabilities into applications.
Limited Hands‑on experience experimenting with open-source LLMs (Hugging Face, Ollama), RAG pipelines, or MCPs.
Exposure to automation or RPA tools as part of workflow optimization efforts.

Quick apply

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