Need Immediate Joiner within 15-20days max

Skills: Agentic Coding, AI Architecture, Building GenAI Apps, Full Stack

Stack: Golang, OpenStack, Docker, PostgresDB, MongoDB, JavaScript, Weaviate, OpenAI, Gemini

Tools: Cursor, Windsurf, Codex, Github Copilot, GCP

Job Summary

We are seeking a highly skilled Agentic AI & GenAI Fullâ€`Stack Engineer / Architect to design, build, and scale nextâ€`generation agentâ€`driven AI systems and Generative AI applications. This role blends AI architecture, agentic coding patterns, LLM application development, and fullâ€`stack engineering to deliver intelligent, autonomous, and productionâ€`grade AI solutions.

You will be responsible for architecting AIâ€`first platforms, building multiâ€`agent systems, integrating LLMs into fullâ€`stack products, and ensuring enterpriseâ€`grade scalability, security, and observability.

Key Responsibilities

Agentic AI & Intelligent System Design

Design and implement agentic AI systems using planners, tools, memory, reflection, and orchestration patterns.

Build multiâ€`agent architectures for task decomposition, collaboration, and autonomous execution.

Implement reasoning loops such as ReAct, Planâ€`Execute, Toolâ€`Use, and Selfâ€`Reflection.

Evaluate and optimize agents for accuracy, latency, cost, and safety.

GenAI Application Development

Design and develop LLMâ€`powered applications including chatbots, copilots, workflow automation tools, and knowledge assistants.

Implement advanced RAG pipelines (vector search, reâ€`ranking, hybrid retrieval, metadata filtering).

Integrate structured outputs, function/tool calling, and prompt orchestration frameworks.

Apply prompt engineering, prompt versioning, and evaluation techniques.

AI Architecture & Platform Engineering

Define endâ€`toâ€`end AI system architectures covering model APIs, orchestration layers, data pipelines, and serving infrastructure.

Architect scalable solutions using cloudâ€`native and microservices patterns.

Design model lifecycle workflows including experimentation, monitoring, feedback loops, and continuous improvement.

Establish patterns for AI governance, observability, security, and cost management.

Fullâ€`Stack Development

Build endâ€`toâ€`end applications covering frontend, backend, and AI orchestration layers.

Develop responsive UIs for AIâ€`driven workflows and conversational experiences.

Design and implement highâ€`performance APIs for GenAI services.

Integrate authentication, authorization, logging, and telemetry across the stack.

Enterprise Readiness & Best Practices

Ensure solutions meet enterprise security, compliance, and dataâ€`privacy standards.

Implement monitoring for hallucinations, drift, and agent failures.

Collaborate with product, data, security, and platform teams.

Mentor engineers and contribute to AI engineering standards and reference architectures.

Agentic AI & GenAI Full Stack Engineer / Architect