Role: AI Engineer
Location: Pune/Remote
Type:
Contract-to-Hire
(Full-time employment may be offered after 6 months; to work from the Pune office)
Experience: Mid-Senior Level
Role Overview:
We are looking for a highly skilled
AI Engineer
to lead the development of autonomous AI systems. This is not just a prompt engineering role; you will be architecting complex
Agentic pipelines
and
RAG systems
that solve real-world enterprise problems.
While our infrastructure runs on
Oracle Cloud (OCI)
, we value strong engineering fundamentals above all. We are looking for an expert in Python and Cloud architectures (AWS/GCP) who is adaptable and eager to map those skills to the OCI ecosystem.
Key Responsibilities
Agentic AI Architecture (Primary):
Design and build stateful, multi-actor AI agents using
LangChain
and
LangGraph
.
RAG Implementation:
Build production-grade Retrieval-Augmented Generation (RAG) pipelines, managing vector stores and semantic search optimization.
High-Performance Python:
Write robust, scalable, and
multithreaded
Python code to handle high-concurrency workloads.
API Development:
Develop high-latency, asynchronous REST APIs using
FastAPI
to serve models and agents.
Database Design:
Architect efficient data layers using both
SQL
(PostgreSQL/Oracle) and
NoSQL
databases.
Cloud Infrastructure:
Deploy and manage services on cloud platforms. You will translate your AWS/GCP expertise to manage
OCI Compute, Object Storage, and OCI Queue
.
Ownership:
Take end-to-end responsibility for features—from system design and coding to deployment and monitoring.
Technical Requirements
1. Generative AI (High Priority)
Must Have:
Deep hands-on experience with
LangChain
and
LangGraph
.
Must Have:
Proven track record of building Agentic workflows and RAG pipelines.
Experience:
Familiarity with LLMs (GPT-4, Claude, Llama 3) and fine-tuning concepts.
2. Engineering & Python
Expert Python:
Mastery of the language, including
asyncio
, multithreading, decorators, and memory management.
Frameworks:
Production experience with
FastAPI
.
Concurrency:
Ability to write scalable code that maximizes throughput.
3. Cloud & Data
Cloud Agnostic:
Strong experience with
AWS
(S3, EC2, RDS, SQS) or
GCP
is required.
Must be willing to learn and adapt to Oracle Cloud Infrastructure (OCI).
Databases:
Proficient in SQL and NoSQL modeling.
Soft Skills & Expectations
Schedule:
Willingness to overlap with
US Morning hours
(Late evening/night shifts in local time).
Communication:
Excellent verbal and written skills; able to explain complex AI concepts clearly.
Mindset:
Extreme ownership. You are a self-starter who identifies gaps and fills them without waiting for permission.