Bounteous - Full Stack Developer - Python/React.js

Accolite; Hyderabad; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Accolite is seeking AI/LLM engineers to work with leading LLM APIs and build agentic systems. The role demands strong Python skills, frontend with React, and experience deploying with Docker to cloud platforms. You will work with FastAPI/Django, SQL/NoSQL databases, asynchronous programming, and streaming UI for AI outputs.

Qualifications include hands-on LLM API experience, prompt engineering, model evaluation concepts, and familiarity with multi-agent frameworks.

Qualifications

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Cohere, or similar).
• Experience building agentic systems (tool use, memory, multi-step reasoning).
• Familiarity with prompt engineering techniques (chain-of-thought, few-shot, RAG).
• Understanding of fine-tuning and model evaluation concepts.
• Strong proficiency in Python 3.x.
• Experience with FastAPI or Django / Flask.
• Working knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis).
• Familiarity with async programming and background task queues (Celery, RQ).
• Experience with Docker and deploying to cloud platforms (AWS, GCP, or Azure).
• Strong proficiency in React.js and modern JavaScript (ES6+).

Skills

LLM APIs

Agentic systems

Prompt engineering

Model evaluation concepts

Python 3.x

React.js

JavaScript ES6+

TypeScript

Streaming UI design

UX for AI interfaces

Tools

FastAPI

Django

Flask

SQL

NoSQL (PostgreSQL, MongoDB, Redis)

Celery

RQ

Docker

AWS

GCP

Azure

WebSockets

Job description

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Cohere, or similar)
• Experience building agentic systems (tool use, memory, multi-step reasoning)
• Familiarity with prompt engineering techniques (chain-of-thought, few-shot, RAG)
• Understanding of fine-tuning and model evaluation concepts
• Strong proficiency in Python 3.x
• Experience with FastAPI or Django / Flask
• Working knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis)
• Familiarity with async programming and background task queues (Celery, RQ)
• Experience with Docker and deploying to cloud platforms (AWS, GCP, or Azure)

Ai / Llm

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Cohere, or similar)
• Experience building agentic systems (tool use, memory, multi-step reasoning)
• Familiarity with prompt engineering techniques (chain-of-thought, few-shot, RAG)
• Understanding of fine-tuning and model evaluation concepts

Backend (Python)

• Strong proficiency in Python 3.x
• Experience with FastAPI or Django / Flask
• Working knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis)
• Familiarity with async programming and background task queues (Celery, RQ)
• Experience with Docker and deploying to cloud platforms (AWS, GCP, or Azure)

Frontend (React)

• Strong proficiency in React.js and modern JavaScript (ES6+)
• Experience with TypeScript
• Familiarity with state management (Redux, Zustand, or Context API)
• Ability to build streaming UI for LLM outputs (token-by-token rendering)
• Basic understanding of UX principles for AI interfaces

General

• Experience with Git and collaborative development workflows
• Comfort working in fast-paced, ambiguous environments
• Strong problem-solving and communication skills

Nice To Have

• Certified Claude Architect Foundations (CCA-F)
• Experience with Claude Code, Cursor, or other AI-assisted development tools
• Contributions to open-source AI projects
• Experience with multi-agent frameworks (AutoGen, CrewAI, LangGraph)
• Knowledge of MLOps practices and model deployment (MLflow, Weights & Biases)
• Familiarity with WebSockets for real-time AI streaming
• Experience with Kubernetes or serverless architectures