Artificial Intelligence Engineer
1 week ago
AI Developer (Onsite)
Location:
Mumbai
Type:
Full-time
Experience: 2-5 years
About the Role
We're seeking a highly capable
AI Developer
who can work across
frontend, backend, and AI systems
, building intelligent agents, integrating them into modern web applications, and deploying scalable, production-ready features.
The role involves working onsite with our team to design, develop, and maintain
AI-powered functionalities
across multiple live platforms. You'll collaborate with cross-functional teams to blend AI workflows with robust full-stack architectures.
Core Responsibilities
- Build and deploy
custom AI agents
using frameworks such as
CrewAI
,
Vibe
,
LangChain
, and
OpenAI APIs
. - Integrate AI features into full-stack web environments built on
,
,
Django
, and
FastAPI
. - Design backend APIs and orchestration layers for AI workflows and context management.
- Implement
RAG pipelines
,
prompt templates
, and
memory management
for LLM-based systems. - Work with
version control (Git)
for clean branching, merging, and collaboration. - Contribute to
prompt versioning
,
model configuration
, and
agent lifecycle management
within Git-based workflows. - Collaborate with designers and product leads to enhance intelligent user-facing experiences.
- Debug, document, and continuously refine AI behaviors and performance.
- Deploy and optimize scalable APIs and services in
Docker
and
cloud environments (AWS/GCP)
.
Required Technical Skills
- Strong proficiency in
Python
and
JavaScript/TypeScript
. - Experience with
,
,
Django
, and
FastAPI
. - Deep familiarity with
AI/LLM frameworks
like
CrewAI
,
LangChain
,
Vibe
, or equivalents. - Experience integrating
OpenAI
,
Anthropic
, or
Hugging Face
APIs into web backends. - Proficient in
Git workflows
(feature branching, pull requests, rebasing, merge conflict resolution). - Solid understanding of
REST APIs
,
websockets
, and
async programming
. - Knowledge of
LLM prompt engineering
,
retrieval-augmented generation (RAG)
, and
agentic task design
. - Experience working with
vector databases
(e.g., Pinecone, Chroma, FAISS) for contextual memory. - Familiarity with
CI/CD pipelines
,
Docker
, and
environment versioning
.
Nice-to-Have
- Exposure to
Vibe
or similar agentic development tools for live coding or AI-driven IDE interaction. - Experience integrating AI with
learning platforms
or
LMS APIs
. - Comfort with
TypeScript state management
(Redux, Zustand, or Recoil). - Knowledge of
testing frameworks
(Jest, Pytest) and performance profiling tools. - Experience in designing
secure authentication
and
session handling
for chat systems.
Why Join Us
- Work hands-on with cutting-edge AI agent frameworks like
CrewAI
and
Vibe
. - Collaborate across multiple AI-driven product stacks using modern technologies.
- Shape the way AI integrates with real-world systems — from conversational UIs to learning automation.
- Be part of a forward-thinking, experimentation-friendly team that values innovation and real impact.
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