Job Description

We are looking for a highly skilled

AI Developer with expertise in Large Language Models (LLMs)

to design, develop, and deploy intelligent AI-driven solutions tailored to client requirements. The ideal candidate will have a strong understanding of NLP, RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering. You will collaborate closely with clients, business analysts, and technical teams to translate business problems into scalable AI solutions.

Key Responsibilities

Collaborate with clients to

analyze requirements

and identify AI-driven opportunities and use cases. Design and develop

custom AI/GenAI solutions

using OpenAI, Anthropic, or similar LLM APIs. Implement

Retrieval-Augmented Generation (RAG)

pipelines integrating embeddings, vector stores, and knowledge bases. Fine-tune and optimize

LLMs for domain-specific applications

. Build and deploy

chatbots, knowledge assistants, and automation tools

using frameworks like

LangChain, LlamaIndex

, or custom architectures. Integrate AI solutions with enterprise applications, APIs, and data sources (structured and unstructured). Work with

vector databases

(e.g., Chroma, Pinecone, FAISS, Weaviate) for semantic search and retrieval. Perform

prompt engineering and optimization

for improved LLM responses and accuracy. Evaluate, test, and benchmark different

AI models, embeddings, and APIs

for specific use cases. Stay updated with advancements in AI, ML, and GenAI technologies to propose

innovative solutions

for clients.

Required Skills & Experience

4-6 years

of experience in AI/ML development, with at least

1-2 years in LLM-based projects

. Hands-on experience with

OpenAI GPT models

,

LangChain

,

LlamaIndex

, or similar frameworks. Strong knowledge of

Python

,

FastAPI/Flask

, and

RESTful API

development. Experience with

vector databases

(Chroma, Pinecone, FAISS, etc.) and

embedding models

(e.g., ada-002). Solid understanding of

NLP, machine learning, and RAG architectures

. Familiarity with

prompt design, fine-tuning

, and

model evaluation techniques

. Exposure to

Streamlit

,

Gradio

, or similar front-end tools for AI demos. Working knowledge of

cloud platforms (Azure, AWS, or GCP)

and

deployment pipelines

. Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions. Excellent communication and client interaction skills.

Nice to Have

Experience with

multimodal AI

(text, image, or document processing). Familiarity with

open-source LLMs

(Llama 3, Mistral, Falcon, etc.). Knowledge of

AI ethics, governance, and data privacy

considerations.

Education

* Bachelor's or Master's degree in

Computer Science, Artificial Intelligence, Data Science

, or related field.