AI Agent Developer Internship at Incepta

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AI Agent Developer Intern

Location: Remote | Commitment: 15-20 hrs/week (ongoing, full-time potential)

Incepta | AI Implementation Firm in the Insurance Sector

Incepta is an AI implementation firm that builds custom automation solutions for independent insurance agencies and launches SaaS products when we identify high-impact / repeatable use cases in a single industry. Our goal is to push the limits of AI implementation, turning real-world business inefficiencies into AI-Agents that solve the problem.

We’re not here to recruit just another intern— and you’re not here to do more busywork: we’re hunting for prodigies. If you’ve shipped side‑projects, won hackathons, or built your own AI agents from scratch, you know how to move aggressively, learn fast, and take responsibility. Here, you won’t be doing busywork: you’ll make agents for real customers at the end of an established funnel.

This isn’t a run‑of‑the‑mill internship; it’s a launchpad for future leaders. You’ll architect end‑to‑end agents on your own, scope and manage outsourced dev work, drive solutions from concept to deployment—and earn expanding equity & revenue share in every product you help ship. Exceed expectations, and you’ll lock in a permanent role (and real stake) on our fast‑growing team, shaping the future of AI automation.

At Incepta, we don’t just experiment with AI—we disrupt industries, automate employee roles, and build scalable, market-ready solutions. If you want to do something real and thrive in high-stakes problem-solving, cutting-edge AI development, and pushing past the limits of what’s possible, we want to consider you.

Role & Responsibilities

• Design & ship AI agents + automation solutions end‑to‑end—from spec to production.
• Orchestrate LLM pipelines (GPT‑4o, Claude, Gemini) with LangChain / LlamaIndex and vector search (Pinecone, ChromaDB, FAISS).
• Integrate REST/GraphQL APIs (OpenAI, Anthropic, custom services), handling auth, errors, and logging.
• Build lightweight UIs with React + Vite/Tailwind so users can trigger and monitor agents.
• Deploy serverless & scale on AWS Lambda, GCP Functions, or Azure; tune prompts for speed, accuracy, and cost.
• Instrument, iterate, & document—track KPIs, push weekly improvements via Git, and produce concise READMEs / demo videos.
  
  

Minimum Qualifications

(applicants must meet all of these)

• Enrollment: Currently pursuing (or recently completed) a Master’s degree in Computer Science, Data Science, or a closely related field.
• Languages: Proficient in Python or JavaScript (Node.js).
• LLM APIs: Hands‑on with OpenAI APIs (GPT‑4 family, Assistants, Function‑Calling, Vision).
• Multimodel Exposure: Practical experience with at least one other LLM provider (e.g., Anthropic Claude, Google Gemini).
• Cloud Fundamentals: Comfort deploying serverless code on AWS Lambda, GCP Cloud Functions, Azure Functions, or Firebase.
• Data Stores: Experience with SQL/NoSQL systems and/or vector databases (Pinecone, ChromaDB, FAISS).
• Full‑Stack AI Builds: Ability to wire backend logic with AI integrations and lightweight front‑ends.
• Version Control: Daily Git workflow familiarity (branches, PRs, CI basics).
• API Design: Solid grasp of REST/GraphQL patterns and authentication flows.
• Soft Skills: Strong problem‑solving chops, autonomy, and the ability to explain tech concepts to non‑technical teammates.
  
  

Preferred Qualifications

(nice to have, not required)

• LangChain / LlamaIndex or other Retrieval‑Augmented Generation frameworks.
• Containerization & Orchestration: Docker and basic Kubernetes know‑how.
• Front‑End Skills: React or Vue for quick dashboards and chat widgets.
• Scaling to SaaS: Past experience taking prototypes to multi‑tenant production.
• Model Ops: Fine‑tuning, quantization, or custom model hosting.
• Testing & Debugging: Unit tests, load tests, and monitoring for AI workflows.
• Ethics & Safety: Awareness of responsible AI principles and data‑privacy best practices.
• Domain Insight (Bonus): Exposure to insurance or financial‑services workflows—helpful but absolutely not mandatory
  
  

How To Apply

• Email your resume to incepta@inceptapartners.com with the subject line: AI Agent Developer Intern – [Your Name] → Include your phone number and LinkedIn/GitHub handle.or simply apply via our Handshake posting.
• Attach or link 1–2 standout projects (GitHub repos, live demos, or short write‑ups) that showcase your AI‑build skills.
• (Optional) In ≤ 150 words, tell us why this role excites you and which agent idea you’d tackle first.
  
  

Shortlisted candidates will complete a technical interview + live coding prompt focused on real‑world AI‑agent challenges. Good luck—we’re excited to see what you’ve built!

Skills

Python

• Node.js
• REST/GraphQL API Development
• OpenAI & Anthropic LLM APIs
• LangChain/LlamaIndex
• AWS Lambda / GCP Cloud Functions
• Full‑Stack (React + Vite)
• Vector Databases (Pinecone / ChromaDB / FAISS)
• SQL & NoSQL
• Git