Ai Ml Engineer

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 Generave AI and Large Language Model (LLM)
applicaon development and at least 1 year of experience in Agen¢c AI.
The ideal candidate should possess strong exper¢se in Python/TypeScript, RESTful APIs, and LLM
orchestra¢on frameworks such as Lang Chain and LlamaIndex. Experience in prompt engineering,
vector databases, and cloud AI pla¢orms, with a strong founda¢on in NLP and scalable
microservices architecture.
Key Responsibili¢es
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Design, develop, and deploy Genera¢ve AI and LLM-powered applica¢ons.
Develop scalable backend services using Python and FastAPI.
Build and integrate RESTful APIs and microservices for AI applica¢ons.
Strong prociency in TypeScript or Python for AI-driven backend development.
Develop AI solu¢ons using LLM orchestra¢on frameworks such as LangChain, LlamaIndex,
or similar frameworks.
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Design and op¢mize prompts using advanced prompt engineering techniques, including
Zero-shot, Few-shot, Chain-of-Thought (CoT), and Func¢on Calling.
Build Retrieval-Augmented Genera¢on (RAG) solu¢ons using vector databases such as
Pinecone, ChromaDB, FAISS, or Weaviate.
Integrate AI applica¢ons with cloud AI pla¢orms, including AWS Bedrock, SageMaker,
Azure OpenAI, or Google Vertex AI.
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Apply NLP concepts, embeddings, and transformer models to solve business problems.
Collaborate with cross-func¢onal teams to deliver scalable, produc¢on-ready AI
solu¢ons.
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Follow so¢ware engineering best prac¢ces, including version control (Git), CI/CD
pipelines, and technical documenta¢on.

Mandatory Technical Skills
Candidates must have hands-on experience in the following:
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Python
Genera¢ve AI (GenAI)
Large Language Models (LLMs)
Prompt Engineering
FastAPI
Agen¢c AI
Note: Candidates must have applied the above technologies in real-¢me produc¢on projects and
should be able to demonstrate their implementa¢on experience, architecture, use cases, and
business outcomes during the interview.
Preferred Technical Skills
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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 Qualica¢ons
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Bachelor's or master's degree in computer science, Ar¢cial Intelligence, Data Science, or
a related discipline.
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5+ years of overall experience, including a minimum of 2 years of hands-on experience in
Genera¢ve AI and Large Language Model (LLM) applica¢on development and at least 1
year of experience in Agen¢c AI.
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Strong analy¢cal, debugging, and problem-solving skills.
Excellent communica¢on and collabora¢on skills.
Ability to manage project work independently.
Passion for AI innova¢on, con¢nuous learning, and emerging technologies.