AI/ML Developer
About the Role
We are looking for a passionate AI Developer with 5+ years of overall
experience, including a minimum of 2 years of hands-on experience in
Generative AI and Large Language Model (LLM) application development and
at least 1 year of experience in Agentic AI. The ideal candidate should
possess strong expertise in Python/TypeScript, RESTful APIs, and LLM
orchestration frameworks such as Lang Chain and LlamaIndex. Experience
in prompt engineering, vector databases, and cloud AI platforms, with a
strong foundation in NLP and scalable microservices architecture.
Key Responsibilities
-
Design, develop, and deploy Generative AI and LLM-powered
applications.
- Develop scalable backend services using Python and FastAPI.
-
Build and integrate RESTful APIs and microservices for AI
applications.
-
Strong proficiency in TypeScript or Python for AI-driven backend
development.
-
Develop AI solutions using LLM orchestration frameworks such as
LangChain, LlamaIndex, or similar frameworks.
-
Design and optimize prompts using advanced prompt engineering
techniques, including Zero-shot, Few-shot, Chain-of-Thought (CoT), and
Function Calling.
-
Build Retrieval-Augmented Generation (RAG) solutions using vector
databases such as Pinecone, ChromaDB, FAISS, or Weaviate.
-
Integrate AI applications with cloud AI platforms, including AWS
Bedrock, SageMaker, Azure OpenAI, or Google Vertex AI.
-
Apply NLP concepts, embeddings, and transformer models to solve
business problems.
-
Collaborate with cross-functional teams to deliver scalable,
production-ready AI solutions.
-
Follow software engineering best practices, including version control
(Git), CI/CD pipelines, and technical documentation.
Mandatory Technical Skills
- Python
- Generative AI (GenAI)
- Large Language Models (LLMs)
- Prompt Engineering
- FastAPI
- Agentic AI
Note: Candidates must have applied the above technologies in real-time
production projects and should be able to demonstrate their
implementation experience, architecture, use cases, and business
outcomes during the interview.
Preferred Technical Skills
- TypeScript (Good to Have)
- LangChain
- LlamaIndex
- REST API Development
- GraphQL
- Microservices Architecture
- Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)
- AWS Bedrock / Amazon SageMaker
- Azure OpenAI
- Google Vertex AI
- NLP, Embeddings, and Transformer Models
- Git and CI/CD
Preferred Qualifications
-
Bachelor's or master's degree in computer science, Artificial
Intelligence, Data Science, or a related discipline.
-
5+ years of overall experience, including a minimum of 2 years of
hands-on experience in Generative AI and Large Language Model (LLM)
application development and at least 1 year of experience in Agentic
AI.
- Strong analytical, debugging, and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to manage project work independently.
-
Passion for AI innovation, continuous learning, and emerging
technologies.
Salary Budget
| Experience Range |
Budget (LPM) |
| 4-6 years |
1.5 |
| 6-8 years |
1.8 |
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