AI / ML & AGENTIC AI DEVELOPMENT Professional

Innvonix Tech Solutions · Ahmedabad · onsite · Posted 28d ago

Undisclosed4–9 yrsfulltimeSourced from Naukri

About a minute. You'll make an account on the way through.

About this role

International client exposure

Flexible timing

Monthly celebration

5 days working flexible hours

About Innvonix

At Innvonix Tech Solutions, We are looking for people who have the desire to grow to the highest level in their professional careers. If you have an indestructible drive within you to showcase your skillset and to level up in your career, you stand a good chance to join us. We value skills over experience and attitude over knowledge. If you think, you have what it takes to survive in the ever-changing world of technology, feel free to get in touch with our HR team. We the best software company to work in Ahmedabad. We are actively looking for passionate candidates in the following job profiles.

Roles and Responsibility

01. AI / ML AGENTIC AI DEVELOPMENT

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Design and develop AI agents using modern LLM frameworks and orchestration systems.
Build autonomous and semi-autonomous workflows including:
1. Tool calling and multi-agent systems
2. Memory management and Retrieval-Augmented Generation (RAG)
3. Planning and reasoning pipelines
4. Human-in-the-loop workflows
Develop custom AI pipelines for enterprise use cases: automation, analytics, customer support,
document intelligence, and workflow orchestration.
Fine-tune, evaluate, and optimize ML/LLM models for accuracy, latency, and cost efficiency.
Integrate AI systems with APIs, databases, CRMs, ERPs, and third-party platforms.

02. INFRASTRUCTURE DEPLOYMENT

Deploy AI applications on cloud platforms such as AWS, Azure, or GCP.
Build scalable inference and agent execution pipelines.

03. TECHNICAL SKILLS

4+ years of experience in AI/ML engineering or related software engineering roles.
Strong experience with Python and modern backend frameworks.
Hands-on experience with LLMs, agentic AI frameworks, RAG systems, prompt engineering, and
AI orchestration tools.
Experience with REST APIs, microservices, and event-driven architectures.
Familiarity with CI/CD pipelines and MLOps practices.

04. FRAMEWORKS TOOLS

LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen
Vector databases and semantic search systems
AI orchestration and agentic workflow tools

05. CORE KNOWLEDGE AREAS

Natural Language Processing (NLP)
Deep learning and model evaluation
AI safety and guardrails
Distributed systems

What will happen next

You will receive an email from our recruitment team.

Then, well ask you to prepare for a technical entry exam.

Then, well ask you to prepare a recruitment task.

If everything goes well, we will meet you at interviews!

Join Our Team

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Sourced from naukri

Skills

AutomationCustomer SupportCI/CD Pipelinesai developmentCrewaiDistributed Systemscloud platformsapiserpsai frameworksgoogle cloud platformamazon web servicesMemory managementAnalyticsLarge Language Models (LLMs)deploymentcloudDeep LearningMicrosoft AzureLangchainArtificial Intelligence