Junior AI Engineer

Building the Future of Wealth & Asset Management

At Neo, we’re not building another financial platform. We’re building the future of wealth and investing in India AI-native, proactive, and designed for speed and trust. Whether it’s trading, wealth reporting, onboarding, or advisory, our systems act like a thinking partner that anticipates needs, surfaces insights, and executes seamlessly.

This isn’t a feature roadmap. It’s a movement:

• From dashboards → to proactive workflows.

• From static reports → to living, adaptive memory.

• From manual research → to AI-driven intelligence engines.

• From fragmented journeys → to seamless, compliant experiences.

We’re building the category-defining AI-first wealth & asset management platform for India. Everything you touch here content, logic, design, product, infrastructure is part of a system that reimagines how finance should work if we broke free from legacy thinking.

What you’ll get here:

• Ownership at scale. You won’t just ship features; you’ll design the very systems that shape how investors, advisors, and traders make decisions.

• AI as the default, not an add-on. Every role here uses LLMs, data, and automation as native tools.

• Impact you can measure daily. The platforms you build will be trusted by thousands of clients and bankers who depend on them.

• The right balance of speed + compliance. We don’t cut corners. We move fast while staying aligned with SEBI and global standards.

• A team of builders. Engineers, quants, designers, and PMs who think like entrepreneurs each role is a first-of-its-kind.

If you’ve ever wanted to be on the founding floor of a new financial era, this is it. At Neo, you’re not just taking a job you’re helping build the brain, memory, and reflexes of India’s AI-native wealth & asset management system.

Position: Junior AI Engineer

Location: Mumbai/ Goa

Experience Required: 6 months – 2 years

Employment Type: Full-time

Education Qualifications:

• Bachelor’s or master’s degree in engineering

  , Information Technology, Computer Science, Technology, Mathematics, or Statistics

  (BE/ME/M.Tech/B.Tech/MSc IT/Equivalent).

Core Skills & Experience (Must-Have):

• Programming:

  Strong proficiency in

  Python

  with good knowledge of

  Data Structures & Algorithms (DSA)

  .

• Machine Learning:

  1+ years of experience in implementing

  ML models

  and algorithms.

• Statistics:

  Solid understanding of

  statistical concepts

  applied to data modeling.

• Databases:

  Hands-on experience with

  MongoDB

  and

  MySQL

  .

• Version Control:

  Practical experience with

  Git / Bitbucket

  .

• Project Management Tools:

  Exposure to

  JIRA

  or

  Asana

  .

Good to Have (Preferred Skills):

• Natural Language Processing (NLP):

• Hands-on experience with

  Zero-shot / Few-shot classification algorithms

  .
• Familiarity with

  TF-IDF, Word2Vec, BERT

  for NLP-based tasks.

• Generative AI:

• Practical experience with

  OpenAI models (GPT series, etc.)

  and

  LLaMA

  for Generative AI applications.

• Web Development & APIs:

• Exposure to

  Flask

  and ability to build and deploy

  REST APIs

  .

Key Responsibilities:

• Design, implement, and optimize

  Machine Learning / AI models

  for business use cases.
• Develop and fine-tune

  NLP-based solutions

  including text classification, embeddings, and semantic searches.
• Work with

  Generative AI frameworks

  to build prototypes and deploy AI-driven solutions.
• Collaborate with cross-functional teams to integrate AI/ML solutions into applications using

  Flask & REST APIs

  .
• Manage workflows using

  Git/Bitbucket

  and task tracking tools like

  JIRA/Asana

  .
• Work with

  relational & NoSQL databases (MySQL & MongoDB)

  for data preparation and model training.
• Continuously research and explore new techniques in

  ML, NLP, and Generative AI

  to improve solutions and models.

What We’re Looking For:

• A driven and curious mindset with the ability to quickly adapt to new technologies.
• Passion for AI research and its real-world applications.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in cross-functional teams.