Artificial Intelligence Engineer

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