Full-Stack AI Engineer: Build Real Production Apps

Teckvalley India; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Teckvalley India is seeking a full-stack AI Developer with 3-5 years of hands-on experience to build production-ready AI applications. You will work across the stack, handling databases, APIs, AI logic, RAG pipelines, tool calling, and frontend UI, while deploying and monitoring in cloud environments.

Candidates should excel in Python, LLMs, AI agents, and related technologies, delivering real products rather than demos. Strong debugging and collaboration across teams are essential for success.

Qualifications

• 3-5 years hands-on experience in building production-ready AI applications.
• Must have strong experience in Python, LLMs, AI agents, RAG, backend development, frontend development, APIs, vector databases, cloud deployment and production debugging.

Responsibilities

• Build conversational agents, knowledge assistants, workflow automation agents, and realtime/voice AI systems.
• Work across the complete stack: databases, backend APIs, AI logic, RAG pipelines, tool calls, frontend UI, deployment, monitoring and production support.
• Create real products, not just prompts or demos.

Skills

Python

LLMs

AI Agents

RAG

Prompt Engineering

Function/Tool Calling

Vector Databases

LangGraph

LlamaIndex

OpenAI APIs

Anthropic APIs

Gemini APIs

FastAPI

REST APIs

Backend Development

React

Next.js

TypeScript

SQL

AWS

Docker

Fine-tuning (LoRA/QLoRA)

Model Serving

vLLM

TGI

Quantization

PyTorch

Agent Orchestration

LLM Evaluation

Observability

Tools

FastAPI

React

Next.js

TypeScript

Docker

AWS

PyTorch

Job description

Teckvalley India is seeking a full-stack AI Developer with 3-5 years of hands-on experience to build production-ready AI applications. You will work across the stack, handling databases, APIs, AI logic, RAG pipelines, tool calling, and frontend UI, while deploying and monitoring in cloud environments.

Candidates should excel in Python, LLMs, AI agents, and related technologies, delivering real products rather than demos. Strong debugging and collaboration across teams are essential for success.