Job Description

About the Role

We are looking for a highly skilled Data Scientist + Full‑Stack Developer with strong expertise in Large Language Models (LLMs), AI application development, end‑to‑end system design, and cloud‑native deployment The ideal candidate has hands‑on experience building and deploying LLM‑powered applications, implementing fine‑tuned models, and developing scalable full‑stack systems across modern cloud environments.

Key Responsibilities AI / ML / LLM Responsibilities

• Build, test, and optimize applications powered by Large Language Models (LLMs), including proprietary and open‑source models.
• Perform API integrations with proprietary models (e.g., OpenAI, Anthropic, Gemini, Azure OpenAI, etc.).
• Execute fine‑tuning, model adaptation, and evaluation of open‑source models (Llama, Mistral, Falcon, etc.).
• Develop chatbots, agents, and RAG‑based pipelines using LangChain, LangGraph, and asynchronous architectures
• Implement prompt engineering, prompt optimization, and design of efficient LLM workflows.
• Apply NLP techniques such as text classification, summarization, entity extraction, embeddings, and vector search.
• Utilize Redis for caching, rate limiting, session storage, and vector similarity search (Redis Vector).

Full‑Stack Development Responsibilities Backend

• Build scalable backend services using FastAPI, Node.js, or Python frameworks.
• Develop secure and optimized REST APIs and async flows.
• Work with SQL (Postgres, MySQL) and NoSQL (MongoDB, DynamoDB, CosmosDB) databases.

Frontend

• Develop responsive and modular UI using React.js (or Next.js).
• Integrate UI with backend and LLM services to build seamless AI-powered user experiences.

DevOps & Cloud

• Deploy and manage applications on AWS and Azure cloud platforms.
• Containerize and orchestrate services using Docker and Kubernetes
• Implement CI/CD pipelines and monitor production workloads.

Required Skills & Competencies AI / LLM Skills

• API calls and integrations with proprietary LLMs.
• Fine‑tuning open‑source models.
• Experience with LangChain, LangGraph, and async architectures.
• LLM-based project development (chatbots, agents, RAG, automation).
• NLP model understanding.
• Strong in prompt engineering and optimization techniques.

Full‑Stack & Infra

• React, HTML, CSS, JavaScript/TypeScript.
• Python (FastAPI), Node.js (optional), backend frameworks.
• SQL and NoSQL database design.
• Redis caching and vector store usage.
• Docker, Kubernetes, CI/CD pipelines.
• Cloud services on AWS and Azure

Preferred Qualifications

• Experience deploying scalable AI/LLM applications to production.
• Knowledge of vector databases (FAISS, Pinecone, Chroma) is a plus.
• Understanding of microservices architecture.
• Prior experience contributing to LLM or AI‑driven product development.
• Strong debugging, performance tuning, and problem-solving skills.

Education

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field (or equivalent experience).

What We Offer

• Opportunity to build end‑to‑end LLM‑powered products.
• Work with cutting‑edge AI technologies and cloud-native platforms.
• Flexible and dynamic work environment.
• Continuous learning and innovation culture.

Design and develop data models and analytical solutions, Optimize data analysis processes and methodologies, Ensure data solutions meet business and technical requirements, Provide technical support for data science projects, Collaborate with stakeholders to address data science needs.

Bachelor's/Master's in Engineering 3-6 years