AI Agent Development - Internship (WFH)

About the internship:1. Build AI agents that can reason, take actions, and interact with tools (APIs, databases, workflows)

2. Design and deploy AI voice agents for real-world use cases (sales, support, automation)

3. Integrate LLMs with external systems (APIs, CRMs, internal tools)

4. Implement agent memory, planning, and multi-step reasoning workflows.

5. Work on speech pipelines (STT LLM TTS) for real-time voice interactions

6. Engineer prompts, system instructions, and response flows for high reliability

7. Build end-to-end agent pipelines, not just models

8. Optimize agents for latency, cost, and production stability

9. Ship features into live environments, not just prototypes

10. Collaborate directly with product and engineering to turn ideas into deployed systemsWho can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 16th Oct'26 and 20th Nov'26are available for duration of 6 monthshave relevant skills and interestsStipend:INR₹ 5,000 - 10,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, 5 days a weekSkills required:Python, Client Relationship Management (CRM), JSON, APIs, Generative AI Tools, LLM evaluation, AI Voiceover and Python LibrariesOther Requirements:• Strong Python skills• Solid understanding of APIs, JSON, and system integration• Working knowledge of LLMs and prompt engineering• Ability to build and debug end-to-end systems• High ownership mindset — you build, test, and shipAbout Company:We are a remote-first organization with systems and culture built to support working from anywhere. Enlight Lab was born to help companies bridge the gap between bold product ideas and real-world execution. We act as fractional CTOs, product leaders, and engineering strategists working side-by-side with founders and internal teams to ensure your tech supports your vision at every step.

Responsibilities

1. Build AI agents that can reason, take actions, and interact with tools (APIs, databases, workflows)

2. Design and deploy AI voice agents for real-world use cases (sales, support, automation)

3. Integrate LLMs with external systems (APIs, CRMs, internal tools)

4. Implement agent memory, planning, and multi-step reasoning workflows.

5. Work on speech pipelines (STT LLM TTS) for real-time voice interactions

6. Engineer prompts, system instructions, and response flows for high reliability

7. Build end-to-end agent pipelines, not just models

8. Optimize agents for latency, cost, and production stability

9. Ship features into live environments, not just prototypes

10. Collaborate directly with product and engineering to turn ideas into deployed systems