In the fast-paced world, agility is our superpower. Due to flat organizational structure, the employees have a chance to wear multiple hats, collaborate across teams and truly make a difference from day one.

Our cutting-edge platform, utilized by esteemed organizations such as PwC, KPMG and our list of esteemed clients also includes Swiss Re, Swiss Post, Tier Mobility, Lumin Insurance to name a few. These industry giants entrust Neotas to enhance their due diligence procedures, showcasing our platform's effectiveness in meeting the rigorous standards of renowned professional services firms.

At the heart of our success is a relentless pursuit of disruption in the market. Neotas is not merely a provider of due diligence services; we are a catalyst for change, challenging conventional norms and pushing the boundaries of what is possible in the industry. Our platform is not just a tool; it is a game-changer that empowers organizations to make informed decisions with confidence.

Our Culture:

Teamwork, Ownership, Proactive, Progressive and Positivity are the core values that we abide by.

We also strongly believe that people are the key pillars to driving our success. It is our people who drive our incredible growth. Here, your voice is not just heard; it's celebrated. We're not afraid to take risks because we understand that's where the magic happens.

Location

Remote

Duration

3-6 Months (with PPO opportunity)

About the Role

We are building an AI-first platform powered by agentic workflows, LLMs, and intelligent search systems. As an AI Intern, you will work on real-world AI problems, contributing to systems that combine:

• Large Language Models (LLMs)
• AI-powered search (semantic + hybrid)
• Workflow automation (agent-driven systems)
• Data pipelines and knowledge systems

This is a hands-on engineering + AI role, not a theoretical or reporting internship.

What You'll Work On

• Build and experiment with LLM-powered applications
• Work on agentic workflows (multi-step AI decision systems)
• Integrate APIs and build backend services (Python / FastAPI)
• Design and test data pipelines for AI systems
• Improve ranking, relevance, and confidence scoring
• Work with real datasets and production-like systems

Tech Stack (Exposure)

• Python (must)
• LLM APIs / Open-source models
• Vector databases / search engines
• FastAPI (or similar backend frameworks)
• Workflow automation tools (e.g., n8n)
• SQL / data processing tools

Who Should Apply

Students who:

• Are pursuing B.Tech / BE / M.Sc / B.Sc (CS, IT, Statistics, Data Science, AI, etc.)
• Have strong fundamentals in:

1. Python programming
2. Data structures & problem solving
3. Basic statistics / machine learning

• Have done at least 1-2 projects in:

1. Machine learning / NLP / data analysis / AI /LLM training

Bonus Points (Not Mandatory)

• Experience with:

1. NLP / text processing
2. LLMs (ChatGPT APIs, open-source models, etc.)
3. Search systems / ranking
4. APIs / backend development

• Participation in:

1. Hackathons
2. Open-source contributions

• Curiosity about how AI systems work end-to-end

What We Look For

• Strong problem-solving mindset
• Ability to learn fast and build fast
• Curiosity about real-world AI systems (not just theory)
• Ownership and willingness to experiment

What You'll Gain

• Work on cutting-edge AI systems (LLMs + Agents)
• Hands-on experience with production-grade architectures
• Mentorship on:

1. AI engineering
2. System design
3. Real-world problem solving

• Opportunity for full-time conversion (PPO)

Selection Process

1. Resume screening

2. Short technical assignment (real-world problem)

3. Technical discussion

4. Final fit interview

How to Apply

Share your resume along with:

• GitHub profile
• Brief description of 12 projects youve built