Founding Technical Lead - AI/ML
Description
Hiring a Technical Lead candidate for a Startup firm who can develop product with AI expertise.
Ideal Candidate :
- 0 - 1 startup builder with a product mindset.
- Strong AI/ML, GenAI and software engineering fundamentals.
- Experience deploying AI solutions into production.
- Comfortable operating in ambiguity and influencing business strategy.
Role Overview :
- Lead architecture and development of production-grade AI/ML systems.
- Remain hands-on with coding, experimentation and technical design.
- Drive AI innovation across GenAI, LLMs, NLP and intelligent automation.
- Build and mentor the founding AI engineering team.
- Partner with product and business stakeholders to deliver measurable outcomes.
Preferred Technical Expertise :
- Generative AI : GPT, Claude, Gemini, Llama, Mistral, Prompt Engineering, RAG, AI Agents / Agentic Workflows, Function Calling, MCP
- ML & NLP : Deep Learning, Transformers, Fine-tuning, Embeddings, Recommendation Systems, Time-series Forecasting
- Frameworks : LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Haystack
- Programming : Python, FastAPI, REST APIs, Async Programming
- Cloud : AWS/Azure/GCP, Docker, Kubernetes, CI/CD, Terraform
- Data : Vector DBs (Pinecone, Weaviate, Milvus, Qdrant), PostgreSQL, MongoDB, Redis, Kafka
- MLOps : MLflow, Weights & Biases, Model Monitoring, Feature Stores
- Engineering : Microservices, Secure AI, Scalable SaaS, System Design
What Success Looks Like in the First 12 Months :
- Architect and launch the first production AI platform.
- Build an AI Copilot for financial advisors.
- Establish scalable cloud infrastructure and engineering best practices.
- Hire and mentor the founding AI team.
- Deliver secure, enterprise-grade AI capabilities for BFSI.
Why Join :
a
- Founding leadership role with meaningful ownership.
- Opportunity to shape an AI company from inception.
- Work directly with visionary founders.
- Build technology with large-scale impact in financial services.
Skills
- Agentic AI
- AI
- API
- AutoGen
- Automation
- AWS
- Azure
- CI/CD
- Cloud
- CrewAI
- Deep Learning
- Docker
- Embeddings
- FastAPI
- Fine Tuning
- GCP
- Generative AI
- Kafka
- Kubernetes
- LangChain
- LangGraph
- LlamaIndex
- LLM
- Machine Learning
- MCP
- Microservices
- Milvus
- Mistral
- MLflow
- MLOps
- MongoDB
- NLP
- Pinecone
- PostgreSQL
- Prompt Engineering
- Python
- Qdrant
- RAG
- Recommendation Systems
- Redis
- REST
- SaaS
- Terraform
- Time Series
- Transformers
- Weaviate