COGNITBOTZ

CognitBotz is a pioneering company in intelligent automation, established in 2019 in Hyderabad, India. They provide cutting-edge Intelligent Process Automation, Agentic AI, and custom AI solutions to enhance operational efficiency across various sectors including healthcare, finance, and logistics. With a global presence and a team of experts, CognitBotz focuses on delivering tailored automation solutions that drive growth and improve business performance, ensuring significant ROI for their clients.

Agentic AIAI SolutionsBusiness GrowthCustom SolutionsGlobal PresenceIntelligent AutomationOperational EfficiencyProcess Optimizationcognitbotz.com

COGNITBOTZ

Agentic AIAI SolutionsBusiness GrowthCustom SolutionsGlobal PresenceIntelligent AutomationOperational EfficiencyProcess Optimizationcognitbotz.com

HQHyderābād, IN

Team Size96

Open Jobs9

Total Funding-

Latest FundraiseUnknown

Join the Team

Artificial Intelligence Engineer

On-SiteGreater Ahmedabad Area, IN

On-Site • Greater Ahmedabad Area, IN

Job Title: AI Engineer (Agentic AI & LLM Engineering)

Experience Required: 3–4 Years

Location: Work from Office, Ahmedbad(5 and half days working - Saturday half a day)

Employment Type: Full-Time

Role Overview

We are seeking a highly skilled AI Engineer with strong hands-on experience in building and orchestrating AI Agents and Agentic Workflows. The ideal candidate should have demonstrable expertise in working with open-source and enterprise LLMs, implementing AI governance frameworks, and deploying AI solutions across both on-premise and cloud environments. The candidate will play a key role in designing, developing, optimizing, and scaling AI agent systems across various enterprise use cases.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Product Designer

InternshipAmsterdam, NL

Internship • Amsterdam, NL

Software Engineer

Part-timeHaifa

Part-time • Haifa

Frontend Developer

Part-timeUtrecht, NL

Part-time • Utrecht, NL

Machine Learning Engineer

Full-timeUtrecht, NL

Full-time • Utrecht, NL

Data Scientist

ContractNovi Sad, RS

Contract • Novi Sad, RS

Product Designer

Part-timeAmsterdam, NL

Part-time • Amsterdam, NL

TL;DR

Company Overview

Funding Track Record

Founders

What we do

COGNITBOTZ

Agentic AIAI SolutionsBusiness GrowthCustom SolutionsGlobal PresenceIntelligent AutomationOperational EfficiencyProcess Optimizationcognitbotz.com

COGNITBOTZ

Agentic AIAI SolutionsBusiness GrowthCustom SolutionsGlobal PresenceIntelligent AutomationOperational EfficiencyProcess Optimizationcognitbotz.com

HQHyderābād, IN

Team Size96

Open Jobs9

Total Funding-

Latest FundraiseUnknown

Join the Team

Artificial Intelligence Engineer

On-SiteGreater Ahmedabad Area, IN

On-Site • Greater Ahmedabad Area, IN

Job Title: AI Engineer (Agentic AI & LLM Engineering)

Experience Required: 3–4 Years

Location: Work from Office, Ahmedbad(5 and half days working - Saturday half a day)

Employment Type: Full-Time

Role Overview

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Product Designer

InternshipAmsterdam, NL

Internship • Amsterdam, NL

Software Engineer

Part-timeHaifa

Part-time • Haifa

Frontend Developer

Part-timeUtrecht, NL

Part-time • Utrecht, NL

Machine Learning Engineer

Full-timeUtrecht, NL

Full-time • Utrecht, NL

Data Scientist

ContractNovi Sad, RS

Contract • Novi Sad, RS

Product Designer

Part-timeAmsterdam, NL

Part-time • Amsterdam, NL

Key Responsibilities

• Design, develop, and orchestrate Agentic AI systems involving multi-agent collaboration, tool usage, grounded reasoning, and workflow automation.

• Integrate and fine-tune LLMs (Open Source + Proprietary) for domain-specific tasks.

• Develop solutions using multiple Agentic AI frameworks such as:

• LangChain, LangGraph

• Azure AI Studio / Azure AI Foundry

• Google AI Developer Kit (ADK) or Vertex AI Agents

• Implement AI governance, safety controls, auditability, prompt security, and responsible AI guidelines in deployed systems.

• Work with MLOps and deployment pipelines to deploy AI agents on:

• Cloud platforms: Azure / GCP / AWS

• On-prem environments & air-gapped networks

• Develop secure integrations with APIs, vector stores, enterprise knowledge bases, and workflow systems.

• Optimize inference, latency, and performance using quantization, caching, and model selection strategies.

• Collaborate cross-functionally with solution architects, product teams, and data engineering to deliver end-to-end AI solutions.

Required Technical Skills

• Strong experience in building AI Agents and multi-agent orchestration.

• Hands-on expertise with Open Source LLMs (e.g., LLaMA, Mistral, Phi, Qwen, etc.).

• Proficiency with RAG pipelines, embeddings, vector DBs (e.g., Pinecone, ChromaDB, Weaviate, FAISS).

• Working knowledge of LangChain, LangGraph, AutoGen, and other agent frameworks.

• Experience with Azure AI Foundry / Azure OpenAI and Google AI (Gemini/Vertex) platforms.

• Strong Python development background with modular code structure.

• Familiarity with Docker, Kubernetes, CI/CD, and model deployment workflows.

• Experience deploying AI solutions on both on-prem and cloud infrastructure.

• Experience with GPU provisioning & inference optimization.

• Knowledge of enterprise integration platforms (ServiceNow, SAP, Salesforce, etc.).

• Understanding of reinforcement learning, evaluation frameworks, and model guardrails.

• Strong problem-solving and analytical thinking.

• Excellent communication and technical documentation skills.

• Ability to work in a fast-paced and collaborative environment.

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Engineering, or equivalent practical experience.