Agentic AI Developer

Spectraforce
Charlotte, United States of America
15 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Charlotte, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Code Review
Encodings
Continuous Integration
Information Engineering
Distributed Systems
Python
PostgreSQL
Node.js
Software Engineering
SQL Databases
Data Streaming
TypeScript
Large Language Models
Multi-Agent Systems
Software Application Programming
Generative AI
GIT
FastAPI
Containerization
Information Technology
Build Tools
Virtual Agents
Api Design
REST
Docker
Microservices

Job description

Build and ship production agentic AI features - agents, tools, prompts, evals, and integrations - against an established reference architecture., * Implement agents and sub-agents (planner, executor, critic, router) using Claude Agent SDK / Lang Graph

  • Build tools and MCP integrations, design clean tool schemas, idempotent operations, and robust error handling.
  • Implement RAG pipelines: ingestion, chunking, embedding (Bedrock Titan), hybrid retrieval, citation rendering.
  • Develop Fast API/Python services exposing agent capabilities (sync + streaming); integrate with SQL (Postgres) and object stores (S3).
  • Write evaluation harnesses (golden sets, regression suites, LLM-as-judge) and trace/observe agent runs.
  • Implement guardrails: input/output validation, schema enforcement, rate limiting, prompt-injection defenses.
  • Participate in code reviews, pairing, and architecture discussions; own quality of the code you ship.
  • Strong Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent.
  • Hands-on with at least one agent framework (Claude Agent SDK / Lang Graph / AutoGen).
  • Practical experience with LLM tool/function calling, structured outputs, streaming.
  • RAG implementation experience (pgvector / FAISS / OpenSearch).
  • Git, CI/CD, containerization (Docker), and cloud basics (AWS preferred).

Roles/Responsibilities:

  • Implement single-agent and multi-agent systems using frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar
  • Build applications using LLMs (Azure OpenAI, OpenAI, Anthropic, etc.)
  • Implement Retrieval-Augmented Generation (RAG) pipelines
  • Enable agents to coordinate and collaborate in multi-agent ecosystems
  • Build secure, scalable APIs and microservices to support AI agents
  • Develop evaluation frameworks for agent performance (accuracy, hallucination detection, response quality)
  • Monitor system behavior and continuously improve reliability
  • Optimize performance for latency, cost, and scalability

Requirements

  • 3-8 years of experience in software development or data engineering
  • Hands-on experience in Generative AI or LLM-based applications
  • Experience building APIs, microservices, or distributed systems
  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field

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