Intern- Artificial intelligence at Sattva Consulting

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Knowledge Management, App Prototyping, LLM APIs, Prompt Engineering, Embeddings, RAG, Python, JavaScript, Data Migration, Experimentation, Advisory Services, Lightweight Engineering, Web Apps, Stakeholder Communication, Iterative Development

Industry

Business Consulting and Services

Description

Mode: Hybrid (2 days in office, 3 days WFH) Tenure: 6 months Location: Bangalore About Sattva We Partner to deliver social impact at scale. Sattva Consulting is an Indian-origin, global impact consulting firm. Since 2009, we have been working at the intersection of business, civil society, and government to design and deliver solutions that drive social impact at scale. We believe that every stakeholder — communities, businesses, and governments — plays a critical role in building an equitable and sustainable world. Our work enables this impact through research and advisory services, knowledge platforms, and collaborative initiatives. Our teams are based across India, Singapore, Denmark, and the UK, and our projects have spanned over 25 countries and 5 continents. To learn more, visit: www.sattva.co.in The Opportunity Sattva is scaling internal and client-facing AI initiatives, especially around knowledge management, app prototyping, and BU specific AI adoption.We are looking for an AI Engineering Intern to help our tech team translate business needs into working prototypes and run structured AI experiments. Key Responsibilities Use-case discovery & requirements Partner with business teams to understand workflows, pain points, and desired outcomes. Convert use cases into clear specs: user stories, data needs, constraints, and success metrics (what “good” looks like) Build prototypes using AI tools & lightweight engineering Rapidly build POCs/MVPs using AI tools and LLM APIs. Build simple internal apps or utilities (scripts, dashboards, small web apps) to prove value quickly. Experimentation & evaluation Run comparisons across model/tool choices; document findings and recommend what to scale. Create small test sets / evaluation rubrics so the team can measure quality over time. Knowledge management support (migration + automation) Support KM data migration and cleanup (structuring and tagging metadata) to make the knowledge base easily discoverable and usable via Gemini. Assist with pilots for internal KM search workflows (e.g., controlled testing before org-wide rollout) Who should apply: Curiosity, speed, and willingness to iterate based on feedback. CS / IS (or equivalent) background; comfortable writing code (Python/ JavaScript). Familiarity with LLM APIs, prompt engineering, embeddings, RAG, building basic web apps. Ability to talk to non-technical stakeholders, capture requirements, and explain trade-offs. Outcome-oriented, comfortable with ambiguity, and able to ship incremental improvements. Why Sattva? At Sattva, impact is everybody’s business. Create Impact: Design and deliver solutions that create measurable social change. Work Environment: Thrive in a diverse, inclusive, and collaborative culture. Learn & Grow: Build your expertise through continuous learning and mentorship. Future Ready: Work on issues that define the future of social impact in India and beyond. Diversity, Equity, and Inclusion Sattva is an equal opportunity employer. We value and celebrate diversity in all forms and are committed to building an inclusive workplace where everyone feels respected, safe, and empowered to contribute. We encourage applicants from all backgrounds — regardless of gender, caste, religion, sexual orientation, disability, or any other identity — to apply.

Responsibilities

The intern will partner with business teams to discover use cases, convert them into clear specifications, and rapidly build Proofs of Concept (POCs) or Minimum Viable Products (MVPs) using AI tools and LLM APIs. Responsibilities also include running structured AI experiments, documenting findings, and supporting knowledge management data migration and automation pilots.