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Want to work with a fintech focused on creating a fair finance system? Check out these job openings across the globe.
Junior Engineer
Other Engineering
India
Posted on Jul 24, 2026
AI Intern/Junior Engineer/Engineer
Contractor - 12 month engagement
India- Remote
Reporting to Chief Data Officer
About the company
Lendable connects emerging and frontier market companies with international and local investors so that they can in turn provide financial and sustainability services to those who need it the most: underbanked consumers and SMEs and MMEs in high-impact sectors. We have built the technical and financial infrastructure to increase access to credit in emerging and frontier markets, including a proprietary database of over 208m loans across 28 countries. To date, we have helped more than 6.2m people get access to fair finance and deployed over $682m of capital to companies across Africa, Asia, and Latin America.
We are based across Africa, Asia, Europe, North and South America, with major hubs in London and Nairobi. Our diverse team consists of investment professionals, data scientists, technologists, and people who care about supporting each other and our clients. We are passionate about creating a more equitable and sustainable world through data and finance. Come help us continue to grow!
About the role
Lendable's competitive advantage is data. We integrate data across lenders, payments companies, carbon offsets, and other business types, covering hundreds of heterogeneous data sources of varying reliability, quality, and completeness. This data drives impact measurement and tracking, investment underwriting, collateral monitoring, portfolio risk management, and market-leading analytics across emerging and frontier markets. We are looking for an AI Intern/Junior AI Engineer/AI Engineer to join our Data team at an exciting moment: we are building the infrastructure to dramatically compress the time between raw data ingestion and actionable analytical outputs. You will work at the intersection of AI tooling and data engineering, using Claude Code to build skills and agents that automate the data pipeline — from DBT model generation and data mapping, through to Tableau dashboard population and structured recommendations in Google Sheets. The longer-term vision is a platform where analysts can interrogate Lendable's proprietary dataset in natural language to surface credit risk signals and portfolio trends across deals and all emerging market data. You will be building the foundations of that.
Responsibilities
- Design, develop, and deploy AI-driven automation workflows and agentic systems for data ingestion, processing, validation, and standardization.
- Build Retrieval-Augmented Generation (RAG) pipelines and orchestrate LLM-based agents using modern frameworks to create decision-support and analytical tools.
- Develop natural language interfaces that enable users to query structured datasets, generate visualizations, extract key metrics, and receive guided analytical outputs.
- Create automated pipelines that transform, reconcile, and validate data across internal and external sources, flagging inconsistencies and surfacing actionable insights.
- Build and maintain API integrations, webhooks, and data transformation workflows to connect AI systems with existing platforms, dashboards, and reporting tools.
- Establish AI development tooling, open-weight LLM inference setups, and coding harnesses to streamline agent development, testing, and iteration.
- Design, run, and maintain evaluation frameworks to test agent performance, identify failure modes, and continuously improve reliability, accuracy, and safety.
- Automate repetitive analytical, verification, and reporting tasks to reduce manual effort and accelerate delivery cycles.
- Produce production-quality code, thoroughly document system architectures, agent logic, and workflows, and support knowledge transfer to cross-functional teams.
- Proactively audit existing processes, challenge manual workflows, and design/build automated alternatives wherever possible
About you
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, ML, IT or MCA preferably from top tier institutions.
- 0–1 years of professional, internship, or substantial project-based experience in AI, machine learning, or software engineering.
Technical & AI Foundations
- Strong proficiency in Python and SQL, with hands-on experience in data modeling and exposure to transformation tools like
- DBTSolid understanding of classical machine learning, statistical modeling, and data pipeline architecture.
- Hands-on experience or academic projects involving LLMs, RAG architectures, agentic automation, prompt engineering, and open-weight LLM inferencing
- Familiarity with modern agent orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI) and AI development tooling, LlamaIndex and other top tools on Github
- Working knowledge of at least one data visualization or dashboarding tool
Engineering & Delivery Practices
- Strong Python programming skills with a verifiable track record of shipped code (e.g., GitHub portfolio, open-source contributions, hackathons, or independent projects)
- Understanding of API design, system integration patterns, and data transformation workflows
- Commitment to production-ready engineering: writing clean, tested, and well-documented code that prioritizes reliability and maintainability over demo appeal
Mindset & Work Style
- Self-directed and resourceful, comfortable working independently or remotely with minimal supervision
- Proactive problem-solver who thrives on open-ended technical challenges and makes pragmatic decisions when paths aren’t fully defined
- Automation-first mindset: believes anything that can be automated should be, and has the curiosity to figure out how
- Detail-oriented, pragmatic, and focused on building solutions that solve real-world problems
Domain Exposure & Good-to Have
- Familiarity with or genuine interest in financial data, credit/underwriting workflows, or emerging markets
- Experience applying AI/automation to practical, high-impact use cases outside of academic settings
Persons of all gender, race, sex, orientation, age, and identity are encouraged to apply. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.