Qualifications
Bachelor’s degree
in computer science, Information Technology, or related field.
8+ years
in backend software engineering with
5+ years in Python development .
Strong experience in
AI / ML system integration , preferably with LLMs, embeddings, and agent-based architectures.
Proven track record in
cloud ecosystems
(AWS, Azure, GCP), with deep understanding of
cost optimization and performance tuning .
Hands-on experience with :
Databases : Neo4j, Pinecone, PostgreSQL (Aurora).
Frameworks : FastAPI, Flask, Django, LangChain, Haystack.
MLOps / LLMOps tools : model deployment, monitoring, retraining pipelines.
Familiarity with
DevOps, CI / CD, containerization (Docker, Kubernetes) .
Excellent problem-solving, system design, and debugging skills.
Preferred Skills
Prior experience in a
stealth startup
or
0 → 1 product build
environment.
Knowledge of
FinOps practices
and cloud governance frameworks.
Exposure to
autonomous agent frameworks
and policy-as-code systems.
Strong communication and collaboration skills to work with cross-functional teams.
What We Offer
Founder-level equity participation
with long-term upside.
Opportunity to
define the AI backbone
of a next-generation enterprise platform.
A mission-driven environment combining
AI innovation with cloud cost and performance optimization .
Direct collaboration with world-class founders, advisors, and cloud / AI experts.
Principal Ai Engineer • Delhi, India