Website:
jettyai.cloud
Job details:
AI Engineer / AI Systems Lead
Jetty AI (India)
Full-time | Remote (India)
About Jetty AI
Jetty AI helps startups and mid-market companies operationalize AI faster.
We design and deploy real production AI systems including:
- moderation intelligence systems
- matching and recommendation engines
- RAG pipelines
- evaluation frameworks
- agent infrastructure
- enterprise AI tooling platforms
We are currently working with international product companies building next-generation AI capabilities across trust & safety, behavioral intelligence, and decision systems.
This role will work directly with the founding team on live deployments.
Role Overview
We are hiring an AI Engineer / AI Systems Lead who can take ownership of building real production-grade AI pipelines.
This is not a research role.
This is a builder role for someone who enjoys turning ideas into working systems quickly.
You will work across:
- LLM pipelines
- RAG architectures
- moderation systems
- embeddings workflows
- evaluation datasets
- experimentation infrastructure
- backend integrations
Responsibilities
You will help design and implement:
LLM pipelines
Prompt workflows
routing logic
model orchestration
RAG systems
vector stores
chunking strategies
retrieval pipelines
grounded reasoning layers
Moderation / Trust systems
text classification pipelines
policy reasoning layers
conversation analysis tools
AI infrastructure tooling
evaluation datasets
prompt versioning
cost monitoring
model switching logic
You will work closely with Ajay (Founder, Jetty AI) on architecture decisions.
Ideal Candidate Profile
We are looking for someone with:
4 to 10+ years software engineering experience
strong Python or Typescript backend experience
hands-on experience working with LLM APIs
experience building production systems (not notebooks only)
Bonus if you have worked with:
LangChain
LlamaIndex
vector databases
FastAPI
Next.js
Supabase
Postgres
Qdrant
OpenAI / Anthropic APIs
Strong system thinking matters more than tool familiarity.
What Makes This Role Unique
You will work directly on:
real customer deployments
real production pipelines
real AI architecture decisions
not internal experimentation projects
This role grows quickly into:
AI Technical Lead
Architecture Owner
Client-facing AI specialist
depending on performance.
Compensation
Base salary:
₹12 LPA starting
Performance bonus:
50% to 100% additional depending on contribution and project impact
Rapid growth expected as consulting engagements expand.
First Month Structure (Paid Evaluation Period)
Month 1 is a structured mutual fit evaluation period.
You will:
work on live pipelines
contribute to architecture tasks
build evaluation datasets
help prototype AI workflows
This period is fully paid.
At the end of month 1:
role converts into long-term engagement based on performance and alignment.
Team Structure
You will work within a layered engineering structure:
Founder-led architecture
senior advisors with 15–20 years experience
execution engineers
intern research support
This allows rapid shipping with strong technical direction.
Who Should Apply
Engineers who:
like building fast
like working directly with founders
want exposure to real AI deployments
enjoy solving messy real-world problems
This is not suited for candidates looking only for structured corporate roles.
How to Apply
Send:
LinkedIn
GitHub
brief note on projects you built using LLMs on my latest Linkedin posts
Click on Apply to know more.