AI Engineering Intern

Needl.ai LLP; Bengaluru; Hybrid; INR 279,000 - 446,000; Part time

Benefits offered by this job

Accelerated learning environment

Mentorship from industry veterans

Exposure to enterprise clients

Job summary

Needl.ai LLP seeks an accelerated internship for top engineering talent to build autonomous AI agents and enterprise workflows. You will learn end-to-end customer journeys from discovery to deployment, shaping real-world AI solutions from day one.

Ideal candidates are fresh graduates or 1–2 years into their careers, eager to work at the frontier of applied agentic AI with a clear path toward becoming a Forward Deployed AI Engineer.

Qualifications

• Recent graduate or 1–2 years of relevant work experience in engineering.
• Solid Python backend experience and familiarity with frontend is a plus.
• Hands-on experience with LLMs, AI tooling, and rapid prototyping.

Responsibilities

• Design, build, and deploy agentic AI solutions for enterprise clients.
• Develop MVPs using internal tech stack and public AI tools.
• Work on prompt engineering, agent orchestration, and API integrations.
• Assist in deployment on Azure/AWS and contribute to playbooks.

Education

B.Tech/M.Tech or equivalent (CSE/EE/related)

1–2 years of relevant work experience

Python (back-end)

LLMs & AI tools

Cloud platforms basics

Tools

Claude

ChatGPT

GitHub Copilot

LLM APIs

Azure

AWS

Job description

Join Needl.ai's accelerated internship program designed for top-tier early-career engineering talent. This role sits at the intersection of building agentic AI solutions for our enterprise customers and forward-deployed solutions engineering. You'll design, build, and ship autonomous AI agents and workflows that solve real customer problems from day one, while learning to own the complete customer journey from discovery to deployment and success.

It's ideal for someone fresh out of college or with 1-2 years of experience who wants to work at the frontier of applied agentic AI in a customer-facing engineering role, with a clear progression path toward becoming a Forward Deployed AI Engineer.

Agentic AI development & technical implementation

• Design, build, and evaluate agentic AI solutions (tool-using agents, multi-step reasoning pipelines, RAG systems) tailored to enterprise customer workflows.
• Build proof-of-concepts and MVPs leveraging both Needl.ai's internal AI tech stack and publicly available AI tools and frameworks.
• Develop and enhance AI-driven solutions in Python, including prompt engineering, agent orchestration, and integration with LLM APIs and MCP servers.
• Build and improve evaluation harnesses to measure agent reliability, accuracy, and performance on customer use cases.
• Assist in system integration and deployment on cloud platforms (Azure, AWS).
• Contribute to the internal knowledge base and engineering playbooks.
• Participate in cross-functional projects with product, engineering, and customer success teams.

Customer solution design, deployment & success

• Assist in client engagement and discovery
  • Shadow Solutions Engineers and FDEs, participate in customer calls, and help analyze requirements to understand complex business workflows and knowledge-intensive processes.
• Contribute to solution design and prototyping
  • Rapidly prototype agentic AI solutions using the internal tech stack, translating customer requirements into working agent workflows.
• Enable deployment and customer success
  • Assist in solution implementation, monitoring, and post-deployment optimization, including tuning agent behavior and participating in customer success reviews.
• Drive documentation and feedback loops
  • Create customer documentation, implementation guides, and best practices while collecting and analyzing feedback to inform product improvements.

Preferred qualifications

• Technical foundations
  • Education: recent graduate (B.Tech/M.Tech or equivalent, CSE/EE/related) from a strong institution, or 1-2 years of relevant work experience.
  • Programming proficiency: solid experience with Python (back-end). Working familiarity with front-end frameworks would be a plus.
  • AI/ML knowledge: coursework, projects, or professional experience in machine learning, NLP, or AI fundamentals. Hands-on experience building with LLMs and generative AI tools (Claude, ChatGPT, GitHub Copilot) for rapid prototyping. Exposure to agentic concepts (tool calling, RAG, agent orchestration frameworks) is a strong plus.
  • Cloud awareness: basic understanding of cloud platforms (AWS/Azure/GCP) and deployment concepts.
• Interest in finance, fintech, or other knowledge-intensive industries.
• Enthusiasm for agentic AI and a willingness to learn and grow within this fast-evolving space.
• Comfort in customer-facing settings and an eagerness to translate ambiguous business problems into working technical solutions.

What we offer

• Accelerated learning environment
  • Exposure to cutting-edge generative AI, context engineering, and agentic/knowledge-agent technologies.
  • Exposure to working with leading clients in the finance industry, solving real-world challenges.
  • Mentorship from industry veterans in applied AI, agent engineering, and customer success.
  • Exposure to C-level executives and decision-makers at enterprise clients and Needl.ai.
  • A collaborative work environment that values responsibility, curiosity, and growth.
• Real impact & ownership
  • Work on live customer projects and ship agents that affect real business outcomes.
  • Contribute to solutions serving leading enterprises in finance and emerging tech sectors.
  • Build a portfolio of deployed agentic AI solutions across diverse use cases.