Gen AI Developer
3 days ago
Job Title:
Gen AI Developer
Experience:
6+ Years
Location:
Chennai (Hybrid/On-site)
Contract Duration:
Short Term
Overview
We are looking for an experienced
Gen AI Developer
with a strong background in
Python backend development
and
Generative AI/LLM integration
. The ideal candidate will have hands-on experience in building
production-grade enterprise applications
, integrating
advanced AI models
, and implementing
scalable AI-driven solutions
across business workflows.
Key Responsibilities
- Design, develop, and maintain backend systems using
Python (Flask/FastAPI)
. - Build and optimize
RESTful APIs
with enterprise-grade features such as authentication, rate limiting, and error handling. - Integrate
LLMs (OpenAI, Anthropic Claude, etc.)
into enterprise workflows with advanced
prompt engineering
. - Develop and implement
Retrieval-Augmented Generation (RAG)
systems using
vector embeddings
,
semantic search
, and
retrieval techniques
. - Model and query
knowledge graphs
for enterprise data relationships. - Create
AI orchestration pipelines
and
multi-step AI workflows
using agent frameworks. - Manage and optimize
databases (SQL, NoSQL, vector databases)
for performance and scalability. - Implement
data pipelines (ETL)
for XML/JSON/document parsing and processing. - Ensure secure and scalable deployment on
cloud platforms
(Azure, SAP BTP, serverless, or containerized environments). - Collaborate with cross-functional teams, perform code reviews, and maintain
Git-based workflows
. - Monitor, troubleshoot, and optimize applications for
performance and reliability
.
Requirements
- Total Experience:
5–10 years in software development. - Enterprise Development:
3+ years on large-scale, complex systems. - Python Development:
2+ years of hands-on backend development. - GenAI/LLM Integration:
1–2 years of practical experience integrating LLMs or GenAI tools. - Strong skills in
debugging, performance profiling, and problem-solving
. - Familiarity with
enterprise-grade security
,
event-driven systems
, and
monitoring tools
.
Technical Skills
Backend Development:
Python (Flask, FastAPI, async programming), REST APIs, PyTorch, TensorFlow, SQL, NoSQL, vector databases, ETL pipelines, XML/JSON parsing.
AI/GenAI:
OpenAI API, Anthropic Claude API, LLM integration, prompt engineering, vector embeddings, semantic search, RAG systems, knowledge graphs, AI orchestration, multi-agent workflows.
Development Environment:
Git, code review workflows, debugging tools, VS Code, PyCharm, Cursor, performance profiling, collaborative coding.
Enterprise Technologies (Preferred):
Azure, SAP BTP, Docker, Kubernetes, serverless architecture, message queues, API security, enterprise authentication, logging, monitoring, and APM tools
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