Notice Period: Immediate
Joiner

Job Summary

We are looking for a skilled GenAI Engineer with 3–5
years of experience to design and build Generative AI solutions using Large
Language Models (LLMs), RAG architectures, and LangChain to solve real -world
business challenges. The ideal candidate will have hands -on experience
developing intelligent systems and autonomous agents capable of task planning,
decomposition, and tool/API integration.

Key Responsibilities

AI Solution Development

- Build
and deploy GenAI solutions leveraging LLMs, RAG pipelines, and LangChain
frameworks.

- Translate
business requirements into scalable AI -driven applications.


Agentic AI Systems

- Design
and implement autonomous AI agents capable of reasoning, task
decomposition, and dynamic tool/API invocation.

- Develop
workflows for multi -step decision -making and orchestration.


Backend & Orchestration Services

- Develop
robust Python -based backend services and orchestration layers to manage
model interactions and contextual data.

- Build
and maintain REST APIs and microservices for AI -powered applications.


Cloud -Based Deployment

- Deploy,
manage, and optimize AI models on Azure OpenAI and GCP Vertex AI
environments.

- Ensure
system scalability, reliability, and performance optimization.






API Integration

- Integrate
OpenAI and other GenAI services into enterprise applications using REST
APIs and cloud -native SDKs.


Prompt Engineering & Fine -Tuning

- Design
effective prompts and assist in fine -tuning models to align with
domain -specific use cases.


Performance Optimization

- Optimize
latency, cost efficiency, and throughput of GenAI models in production
environments.


Documentation & Collaboration

- Maintain
comprehensive documentation for AI systems and workflows.

- Collaborate
with cross -functional teams and share best practices in GenAI development.


Required Qualifications

- 3–5
years of overall experience in AI/ML, with at least 1–2 years of hands -on
experience in Generative AI / LLM -based systems.

- Strong
expertise in LangChain, OpenAI APIs, Azure OpenAI, and GCP Vertex AI.

- Proficiency
in Python programming with experience building REST APIs and
microservices.

- Solid
understanding of LLM chaining, RAG architectures, agent -based systems, and
orchestration frameworks.

- Experience
deploying scalable AI systems in Azure and/or GCP environments.

- Familiarity
with vector databases such as FAISS, Chroma, Pinecone, or Weaviate.


Preferred Skills

- Experience
with model monitoring and evaluation frameworks.

- Knowledge
of CI/CD pipelines and MLOps practices.

- Solid
problem -solving and communication skills.


j