AI Lead Engineer

Salary : INR45k - 60k/month

Company: Intangible

Location: Pune, India

Type: Full-Time

Experience: 5-8 years

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.

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.

• 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

• 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

• 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

• 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
  

• 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)
  

• 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
  

LayerTechnologiesLLM Claude API (Anthropic), OpenAI (fallback)ML Frameworks Python, PyTorch, Hugging Face, LangChainVector DB Pinecone / pgvectorBackend Spring Boot, Java, PostgreSQL, Redis, KafkaCloud AWS (SageMaker, Lambda, S3) / GCPMonitoring Weights & Biases, MLflow, Prometheus

• 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)
  

1. Intro Call (30 min) Culture fit, role expectations
2. Technical Deep Dive (60 min) LLM systems, architecture discussion
3. Take-Home Assignment (4-6 hours) Build a mini conversational bot
4. System Design (90 min) Design an AI feature for our platform
5. Founder Chat (45 min) Vision alignment, offer discussion
   

Send your resume and a brief note on:

1. An AI/LLM project you're proud of
2. Your approach to building safe, reliable AI systems
3. Why Intangible excites you

e-mail: /

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