Senior GenAI Agent Developer: LLMs & Orchestrated Workflows

Capgemini; Charlotte (NC); On-site; USD 57,000 - 90,000; Full time

Job summary

Tundra Technical Solutions seeks a Senior Agentic AI Developer to design and deploy autonomous AI systems using large language models and orchestration frameworks. You will build multi-agent workflows with planning, memory, and tool usage, integrating APIs and enterprise sources to deliver scalable AI solutions.

Responsibilities include prompt engineering, RAG pipelines, and ensuring performance, security, and observability.

Qualifications

• 10+ years of hands-on development experience in software engineering / AI development.
• Strong programming skills in Python (mandatory).
• Experience with LLM frameworks: LangChain, LangGraph is mandatory.
• Knowledge of vector databases (FAISS, Pinecone, PgVector, etc.).
• Must have development experience with REST APIs and microservices architecture.
• Must have development experience with AWS / Anthropic AI services.
• Good understanding of prompt engineering, agent tools, agent skills, agent workflows, schematic search, vector embeddings and MCP tools concepts.
• AI and Agents Evals implementation.
• AI and Agents Observability and Control plane integration.

Responsibilities

• Design and develop agentic AI systems using LLMs (AWS Bedrock, Anthropic API, etc.).
• Build multi-agent workflows with planning, memory, and tool usage capabilities.
• Integrate APIs, enterprise systems, and knowledge sources into agent workflows.
• Develop prompt engineering strategies and optimize model performance.
• Implement RAG (Retrieval Augmented Generation) pipelines.
• Ensure scalability, performance, and security of AI systems.
• Collaborate with business teams to translate use cases into AI solutions.
• Monitor agent behavior and continuously improve accuracy and reliability.

Skills

10+ yrs exp

Python

LangChain

LangGraph

FAISS

Pinecone

PgVector

REST APIs

AWS

Anthropic

Prompt engineering

Agent workflows

Vector embeddings

MCP tools

AIEvals

Observability

Job description

Tundra Technical Solutions seeks a Senior Agentic AI Developer to design and deploy autonomous AI systems using large language models and orchestration frameworks. You will build multi-agent workflows with planning, memory, and tool usage, integrating APIs and enterprise sources to deliver scalable AI solutions.

Responsibilities include prompt engineering, RAG pipelines, and ensuring performance, security, and observability.