Summary:

We're a small, high-output engineering team building AI-powered SaaS products such as RAG systems, agentic workflows, document pipelines, and automation tooling. You'll work directly with the lead engineer on end-to-end features: designing backend APIs, wiring up LLM integrations, and shipping polished frontends. This is not a checkbox role - you'll be expected to think architecturally, own your deliverables, and move quick.

Responsibilities:

- Build and iterate on RAG pipelines — chunking strategies, hybrid retrieval, reranking, evaluation.
- Develop agentic workflows using Lang Chain / Llama Index with tool use and memory.
- Ship FastAPI backends with async task queues (Celery Redis) and clean data models.
- Build Next.js / React frontends that are fast and production-ready.
- Integrate with Anthropic, OpenAI, and Gemini APIs — switching models based on cost/task.
- Deploy on Kubernetes (AKS/EKS) or cloud services with proper observability.
- Participate in architecture discussions and code reviews.

Requirements:

Experience: 5+ Years

Location:



Vizag Office

Required Skills:

- Python
- FastAPI
- Lang Chain or Llama Index
- LLM APIs (OpenAI / Anthropic / Gemini)
- React / Next.js
- Type Script
- PostgreSQL
- Docker
- REST API design

Preferred Skills:

- Celery Redis
- Kubernetes / AKS
- Azure / AWS
- Terraform
- Langfuse / Open Telemetry
- n8n automations
- Ollama / local LLMs
- Semantic Kernel
- Vector DBs (Pinecone, Qdrant, pgvector)

Benefits:

- Strong ownership - you ship things end-to-end without hand-holding.
- Comfortable switching between backend, frontend, and AI layers in the same day.
- You read docs, debug independently, and propose solutions proactively.
- Experience building something from scratch - a side project, open-source tool, anything real.
- Can communicate technical trade-offs clearly to non-technical stakeholders.
- Comfortable in fast-moving, small-team environments with evolving requirements.

📌 Full Stack AI Engineer (India)
🏢 Evolutyz
📍 India