 
						Generative AI Developer
1 week ago
 Location:
Hybrid (Bangalore) – Cessna Business Park
  Role:
GenAI Engineer
 Type:
Ongoing Contract
Upto 45 LPA
This is an
ongoing contract role with no fixed end date
. There is
no bond or mandatory commitment period
—though the engagement is expected to be
long-term (minimum 2+ years)
. If you decide to explore other opportunities in the future, a
30-day notice period
will ensure a smooth and professional transition.
Role Responsibilities
- Design, build, and maintain generative AI workflows and intelligent agent systems using
 Python
- Develop and deploy
 containerized microservices
 on cloud platforms such as
 AWS, GCP, or Azure
- Integrate with
 LLMs via APIs
 (e.g., OpenAI, Claude, Gemini) and apply
 prompt engineering best practices
- Build and maintain agent orchestration tools using
 LangChain, ReAct, CrewAI
 , or similar frameworks
- Manage data flow using
 vector databases
 (e.g., ChromaDB, Pinecone) and implement
 RAG (Retrieval-Augmented Generation)
 pipelines
- Handle
 API proxying
 , session management, and secure authentication (e.g.,
 JWT
 )
- Set up observability tools (e.g.,
 logging, tracing, monitoring
 ) for AI agents and services
- Work cross-functionally with distributed teams and
 document architectural decisions
 clearly
- Rapidly
 prototype and iterate
 using telemetry data, logs, and user feedback
- Enforce
 security best practices
 in GenAI implementations, including input sanitization and access controls
Required Skills & Experience
- 3–5+ years
 of Python development, including use of
 async programming
 and
 modular design patterns
- Experience with containerization tools like
 Docker or Podman
 , and deploying to cloud platforms
- Strong foundation in
 API design
 , including
 FastAPI
 , RESTful APIs, and
 WebSocket
 integrations
- Hands-on experience with
 at least one LLM agent/orchestration framework
 such as LangChain, AutoGen, or OpenAgents
- Understanding of
 prompt/response logging
 ,
 token usage tracking
 , and
 LLM cost optimization
- Familiarity with
 version control (Git)
 and
 CI/CD workflows
- Excellent
 written communication skills
 and ability to collaborate in
 remote/distributed environments
Nice-to-Have
- Experience with
 OpenTelemetry
 ,
 LangSmith
 , or other
 LLM evaluation frameworks
- Understanding of
 security and compliance
 in generative AI systems
- Prior work integrating with
 enterprise systems or third-party APIs
- Background in
 Natural Language Processing (NLP)
 ,
 Machine Learning
 , or
 cognitive architectures
If you're interested, please send your
updated resume
to
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