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Agentic AI Developer

Integra Global Solutions -
Coimbatore, Tamil Nadu

Apply Now

Job details

Benefits

Health insurance
Paid time off
Work from home
Paid sick time

Qualifications

CI/CD
Azure
Law
Enterprise Software
Master's degree
Databases
OS Kernels
AWS
Docker
Continuous integration
APIs
AI
Python
Debugging

Full job description

Agentic AI Developer

Position title: Agentic AI Developer
Location: Coimbatore
Experience: 1-3 years
A division of Integra Corp, USA and Integra Ltd, UK

Job Overview

We are looking for an AI Agent Developer to analyze our current internal workflows and identify where AI agents can automate, streamline, and improve business operations. This role is focused on building text-based AI systems that can understand instructions, follow process logic, use tools, retrieve information, and complete business tasks accurately and reliably.

The ideal candidate has hands-on experience building LLM-powered applications, designing prompt-driven workflows, integrating APIs and internal systems, and improving output quality through testing, evaluation, and guardrails. This is an applied engineering role focused on solving real business workflow problems with AI agents.

Key Responsibilities

Study current internal workflows and identify opportunities to automate tasks using AI agents
Design, build, test, and deploy text-based AI agents for business process automation
Convert manual workflows, SOPs, decision rules, and internal instructions into structured AI-driven systems
Build prompt-based workflows that can reason through tasks, retrieve the right context, and generate reliable outputs
Integrate AI agents with internal tools, APIs, databases, CRMs, spreadsheets, document systems, and other business platforms
Build retrieval-augmented generation (RAG) pipelines to help agents access the correct internal knowledge and documentation
Implement memory, tool usage, function calling, and workflow orchestration where needed
Create evaluation frameworks and test cases to measure accuracy, consistency, task completion, and business usefulness
Improve performance by refining prompts, instructions, routing logic, validation layers, and fallback handling
Apply guardrails and verification steps to reduce hallucinations, formatting errors, and unreliable outputs
Monitor agent performance in real business use and continuously improve reliability, speed, and process fit
Work closely with operations, product, engineering, and business teams to understand workflow pain points and turn them into practical AI solutions
Document systems, workflows, logic, and implementation standards for long-term maintainability

Required Skills

Strong Python programming skills with clean, structured, maintainable code
Experience building LLM-powered applications using models such as GPT, Claude, Gemini, Mistral, or Llama
Strong experience in prompt engineering and designing text-based workflows using LLMs
Experience with agent orchestration, tool calling, function calling, and multi-step task automation
Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar tools
Experience building or integrating RAG pipelines using embeddings, vector databases, and internal documents or knowledge sources
Ability to translate business processes into AI workflows and automation logic
Experience integrating APIs, databases, third-party tools, and internal systems into AI workflows
Strong debugging and problem-solving skills, especially around reliability, accuracy, and edge cases
Ability to build testable systems with validation and error recovery flows
Clear understanding of task decomposition, workflow design, and agent behavior control

Preferred Qualifications

Experience automating back-office, operational, finance, support, or knowledge-based business workflows
Familiarity with cloud platforms such as AWS, Azure, or GCP
Experience with Docker, containerized deployments, and CI/CD practices
Familiarity with monitoring, observability, and logging for AI systems
Understanding of security, privacy, and access control considerations in internal AI systems
Experience with document processing, workflow automation, or enterprise software integrations
Experience with fine-tuning, LoRA, or small-model optimization is a plus, but not required

What would impress us

Real examples of internal workflow automation using AI agents
Production systems where AI agents improved speed, quality, or efficiency in business processes
Strong examples of prompt-based agents that use tools, retrieve context, and complete business tasks accurately
Evidence of practical thinking around reliability, testing, validation, and business impact
Ability to move beyond demos and build systems that work in real operational environments

What We Offer

Competitive salary pay
Flexible work-from-home opportunity
Health insurance
Sick and vacation time off
Paid training
Supportive team environment
Opportunities for growth and advancement

Apply Now

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python developer jobs in coimbatore, tn

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