Sr. Engineer (Agentic AI)

Programmers.io; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Programmers.io in the United States seeks a senior AI/Agentic AI engineer to design and build enterprise-grade AI applications using LangGraph and LangChain, with strong backend in Python/FastAPI and frontend in React.

The role emphasizes multi-agent workflows, tool integration, AI observability, and performance tuning, with experience in Docker/Kubernetes and cloud services highly valued.

Qualifications

• Experience delivering production-grade Agentic AI applications.
• Hands-on with LangGraph/LangChain and tool integration.
• Experience with scalable backend using Python/FastAPI.
• Familiarity with AI observability and testing.

Responsibilities

• Design and develop enterprise-grade Agentic AI applications.
• Build and orchestrate AI agents using LangGraph and LangChain.
• Develop scalable backend services using Python/FastAPI.
• Build responsive frontend applications using React.
• Develop multi-agent workflows with planning, memory, and tool integration.
• Implement RAG-based architectures and vector search solutions.
• Integrate LLMs with enterprise APIs, tools, and databases.
• Implement AI observability, tracing, monitoring, and evaluation.
• Perform prompt optimization and model performance tuning.
• Create reusable AI workflow and orchestration components.
• Work closely with Architects, Product Teams, and Platform Engineers.
• Ensure scalability, reliability, and security of AI applications.

Skills

Agentic AI

Multi-Agent Systems

AI Workflows

Agent Orchestration

Prompt Engineering

LLM Tuning

Tool Integration

Python

FastAPI

React

Docker

Kubernetes

CI/CD

Azure Cloud

Databases

Tools

LangGraph

LangChain

CrewAI

AutoGen

PostgreSQL

MongoDB

FAISS

ChromaDB

Job description

Job Description

Core Technical Skills

• 5 6 years of experience in Core Application Engineering
• Must completed DOJO course (Only for internal candidate)
• Minimum 2 years of hands-on experience in Agentic AI Engineering
• Delivered at least 2 production‑grade Agentic AI applications as an Engineer
• Strong understanding of: Agentic AI, Multi‑Agent Systems, AI Workflows, Agent Orchestration, MCP (Model Context Protocol)
• Hands‑on experience with: LangGraph, LangChain, CrewAI & AutoGen (Good to Have)
• Strong experience in: Prompt Engineering, RAG Architecture, AI Observability, AI Testing & Evaluation, LLM Fine‑Tuning Concepts, Tool Calling & Function Calling
• Backend Development: Python, FastAPI / Flask, REST API Development
• Frontend Development: React, TypeScript / JavaScript, CSS
• Experience with: Docker, Kubernetes, CI/CD Pipelines, GitHub / Azure DevOps, Azure Cloud Services (Document intelligence, Azure Vision, Cognitve Services etc..)
• Database & Infrastructure: PostgreSQL / MongoDB, Redis, Vector Databases (ChromaDB, Pinecone, FAISS)

Key Responsibilities

• Design and develop enterprise‑grade Agentic AI applications
• Build and orchestrate AI agents using LangGraph and LangChain
• Develop scalable backend services using Python/FastAPI
• Build responsive frontend applications using React
• Develop multi‑agent workflows with planning, memory, and tool integration
• Implement RAG‑based architectures and vector search solutions
• Integrate LLMs with enterprise APIs, tools, and databases
• Implement AI observability, tracing, monitoring, and evaluation
• Perform prompt optimization and model performance tuning
• Create reusable AI workflow and orchestration components
• Work closely with Architects, Product Teams, and Platform Engineers
• Ensure scalability, reliability, and security of AI applications

Engineering Expectations

• Strong problem‑solving and debugging skills
• Good understanding of scalable application architecture
• Ability to independently own engineering deliverables
• Experience building production‑ready AI solutions
• Understanding of software engineering best practices
• Familiarity with: LangFus, PromptFo, Raggas, LangSmith, OpenTelemetry, Weights & Biases
• Strong communication and collaboration skills
• Ability to quickly learn evolving AI technologies
• Experience working in Agile/Scrum environments
• Passion for Generative AI and autonomous agent systems
• Strong tech enthusiast with continuous learning attitude
• Automation‑first problem solving approach
• Actively explores and adopts new tools and open to work on new areas
• Uses AI as a force to multiply your productivity, not just an assistant