AI Lead Engineer

Salary : INR45k - 60k/month

AI Engineering Lead

Company:

Intangible Location:

Pune, India Type:

Full-Time Experience:

5-8 years

About Intangible Intangible is building the future of student employability. We're an AI-powered platform that helps colleges track and improve student outcomes through EQ scoring, career readiness assessment, and intelligent job matching. Our platform serves students, professors, colleges, and corporate recruiters across India and the Middle East. We're not just another EdTech company — we're replacing 5-8 disconnected tools with one intelligent platform powered by 9 AI bots that coach students, assist professors, and predict placement outcomes.

The Role We're looking for an

AI Engineering Lead

to own and scale our AI infrastructure. You'll lead a team building conversational AI bots, recommendation systems, and predictive models that directly impact millions of students' careers. This is a founding-level technical role with significant ownership, equity, and the opportunity to shape AI strategy from the ground up.

What You'll DoAI Bot Development (40%)

Lead development of 9 AI-powered bots:

Student Bots:

Career Guidance, Education Help, Mental Wellness, Company Research Professor Bots:

Assessment, Grading, Lecture Planning, Research, Case Study, Course Materials Design conversation flows, prompt engineering, and context management Implement safety guardrails, especially for mental wellness bot (crisis detection, human handoff) Optimize token usage and latency for real-time interactions ML/AI Systems (30%)

Build

EQ & Employability Scoring

models using behavioral and assessment data Develop

Cultural Fit Matching

algorithms for student-company pairing Create

Placement Prediction

models at department/college level Design recommendation engines for job matching and skill gap analysis Architecture & Infrastructure (20%)

Architect scalable AI pipelines on cloud infrastructure (AWS/GCP) Integrate with Claude API, implement fallbacks, caching, and rate limiting Build RAG (Retrieval-Augmented Generation) systems for context-aware responses Design vector databases for semantic search across resumes, JDs, and course content Team Leadership (10%)

Hire and mentor a team of 3-5 AI/ML engineers Establish AI development best practices, code review standards, and documentation Collaborate with product, backend, and frontend teams Present technical roadmaps to leadership and investors

What You BringMust Have

5+ years

in ML/AI engineering, with

2+ years

in NLP/LLMs Production experience with

LLM APIs

(OpenAI, Anthropic Claude, Gemini) Strong

Python

skills; experience with PyTorch, TensorFlow, or JAX Hands-on with

prompt engineering , fine-tuning, and RAG architectures Experience building

conversational AI

or chatbot systems at scale Familiarity with

vector databases

(Pinecone, Weaviate, Milvus, pgvector) Solid understanding of

microservices architecture

and API design Experience with

cloud platforms

(AWS SageMaker, GCP Vertex AI, or Azure ML)

Nice to Have

Experience in

EdTech, HR Tech, or Career platforms Background in

psychometrics, assessments, or behavioral analysis Familiarity with

Spring Boot/Java

backend systems Experience with

Kafka, Redis

for real-time data pipelines Published research or contributions to open-source AI projects Prior startup experience or 0-to-1 product building

Tech Stack LayerTechnologies LLM Claude API (Anthropic), OpenAI (fallback) ML Frameworks Python, PyTorch, Hugging Face, LangChain Vector DB Pinecone / pgvector Backend Spring Boot, Java, PostgreSQL, Redis, Kafka Cloud AWS (SageMaker, Lambda, S3) / GCP Monitoring Weights & Biases, MLflow, Prometheus

What We Offer

Competitive Salary:

₹35-50 LPA (based on experience) Equity:

Meaningful ESOP allocation (founding team level) Impact:

Your AI will directly help millions of students get better jobs Autonomy:

Own the entire AI roadmap with minimal bureaucracy Growth:

Be part of a company targeting $23M ARR by Year 3 Flexibility:

Remote-first with optional office in [City]

Interview Process

Intro Call

(30 min) — Culture fit, role expectations Technical Deep Dive

(60 min) — LLM systems, architecture discussion Take-Home Assignment

(4-6 hours) — Build a mini conversational bot System Design

(90 min) — Design an AI feature for our platform Founder Chat

(45 min) — Vision alignment, offer discussion

How to Apply Send your resume and a brief note on: An AI/LLM project you're proud of Your approach to building safe, reliable AI systems Why Intangible excites you

e-mail: shashank@intangible.co.in / aditya@intangible.co.in

Intangible is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.