The Antara Foundation, Data and AI Engineer

About the portfolio organization The Antara Foundation (TAF) envisions a world where women and children do not suffer from preventable health conditions. We believe that every mother and each child deserves an equal start to a healthy life. We support the public health system deliver solutions at scale, to improve maternal and child health outcomes, by partnering with government and communities. Interventions of The Antara Foundation follow two closely integrated paths: to help the government system deliver better quality health care to the community and to support the community to mobilize and seek better health outcomes. For more information visit www.antarafoundation.org. About the Fellowship role TAF’s Digital Public Health Program is building the next generation of scalable, interoperable digital health systems in India, combining WhatsApp-based nudging, workflow automation, conversational AI, and data-driven decision support. After developing initial sets of solutions and a healthy partner ecosystem, we are now looking to expand our in-house technical development capabilities. The Data & AI Engineer will power the data and intelligence backbone of TAF’s digital health stack. You will design and operationalise pipelines that bring together structured health data, conversational AI, and predictive analytics, translating complex systems into usable, ethical, and field-ready digital tools. If you are passionate about applying data and AI for the public good, this role offers an opportunity to shape India’s next generation of digital health systems. Location: Hybrid in Delhi, India or Remote in India (with travel to Delhi and program locations) Employment: Full-time, one-year Fellowship Starting Date: July 2026 Key responsibilities • Design and implement scalable data architectures integrating Sheets, Excel, and government systems into cloud databases (PostgreSQL, BigQuery). • Develop APIs and ETL workflows for data ingestion, transformation, and retrieval across GCP-based systems. • Design and orchestrate Gemini/LLM pipelines for conversational reasoning, data interpretation, and predictive insights. • Build ASR–LLM–TTS pipelines optimised for multilingual, low-resource contexts (Hindi + regional languages). • Manage embeddings and vector databases for contextual retrieval and knowledge grounding. • Translate backend intelligence into usable insights for health workers, dashboards, chatbots, and community feedback loops. • Collaborate with program teams to ensure AI models reflect real public health needs, ethics, local contexts, and are validated against field realities, including low-connectivity environments. • Support rapid data visualization for program dashboards and government review systems. • Establish data security, versioning, and model monitoring best practices. Requirements Education and Experience: • Education: B.Tech/M.Tech in Computer Science, Data Science, or related discipline. • Experience: 3–6 years of experience in backend, data engineering, or AI-driven product development; exposure to health, GovTech, or social impact data preferred. Technical Skills • Languages: Python (Pandas, FastAPI, LangChain, SQLAlchemy). • Databases: PostgreSQL, BigQuery, SQLite; vector DBs such as Pinecone, FAISS, or Chroma. • AI/LLM: Gemini API, LangChain, prompt design and orchestration. • Speech Tech: Experience with ASR (Whisper, Google Speech) and TTS (Coqui, ElevenLabs). Experience applying NLP to unstructured text/audio for community feedback and AI-enabled sensemaking. • Cloud: Google Cloud Platform (Cloud Run, Cloud Functions, BigQuery, Secret Manager); experience with containerized workflows using Docker. • Data Pipelines: End-to-end ETL development, schema design, data validation, logging, and performance monitoring. • Visualization: Experience with tools such as Streamlit, Gradio, Looker Studio, Power BI, and user journey mapping for rapid analytics and insight generation. Personal Attributes • A curious, iterative builder with strong attention to data quality and integrity. • Belief in AI for inclusion and public good. • Comfortable explaining complex systems to non-technical stakeholders. • Collaborative, detail-oriented, and driven by problem-solving Must Haves: • Authorisation or permit to work in India About the LGT Impact Fellowship As part of LGT Venture Philanthropy's and Lightrock's strategic efforts to scale positive impact, the LGT Impact Fellowship was established to provide additional know-how and capacity to portfolio organisations and companies. Each year a limited number of professionals are nominated to work full-time for one year with the organisations and companies supported by LGT Venture Philanthropy and Lightrock in Africa, India and Latin America as per the above job description. LGT Impact Fellows are part of an enriching cohort of like-minded Fellows. They benefit from various program activities, including a 1-week in-person kick-off workshop, webinars, access to the network and know-how of LGT Venture Philanthropy, etc. How to apply Submit your application via the "Apply" button. Please note that we only accept online applications and that multiple applications are not allowed. However, you are invited to mention additional preferences in your application.Moreover, please make sure to read all information in the application form carefully and answer the questions accordingly (additional information about the questions are marked with "i").