kerala azure ai engineer Jobs – 122 Open Jobs Today

AI Engineer
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Azure
- Master's degree
- AWS
CFCO - 1422 - AI Automation Engineer
Softobiz Technologies —Kochi, Kerala
- Full-time
- Microsoft Excel
- Azure
- Master's degree
10d
Azure AI Engineer
Adfolks —Kochi, Kerala
- Full-time
- Remote
- Azure
- Computer Science
- Bachelor's degree
Quick apply
AI Systems Engineer – Python
Portrave Solutions —Kochi, Kerala
- ₹45,00,000 a year
- Hybrid work
- Azure
- English
- AWS
- Work from home
AI Engineer (2 -3 years)
NewAgeSys Solutions —Kakkanad, Kochi, Kerala
- Azure
- Computer Science
- Research
AI /ML ENGINEER -1+ Years
REIZEND PRIVATE LIMITED —Thiruvananthapuram, Kerala
- ₹5,00,000 - ₹9,00,000 a year
- Azure
- AWS
- Machine learning
Quick apply
Senior AI/ML Engineer - AI Center of Excellence (CoE)
VGreen Technology Solutions (VGreenTEK) —Kochi, Kerala
- ₹25,00,000 - ₹30,00,000 an hour
- Azure
- Master's degree
- AWS
Quick apply
Senior AI Engineer – Agentic AI_Remote
VGreen Technology Solutions (VGreenTEK) —Kochi, Kerala
- ₹1,00,000 - ₹1,20,000 a month
- Remote
- Azure
- Computer Science
- System design
Quick apply
Generative AI (GenAI) Engineer
Tata Consultancy Services —Kochi, Kerala
- Azure
- Master's degree
- Bachelor's degree
IAM Engineer
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Microsoft Access
- Azure
- APIs
AI Automation Engineer
IOSS —Calicut, Kerala
- Full-time
- Azure
- Computer Science
- B.Sc
AI/ML Engineer
Tinos Software and Security Solutions LLP —Kakkanad, Kochi, Kerala
- ₹8,000 - ₹10,000 a month
- Full-time
- Azure
- Computer Science
- SQL
Quick apply
14d
Lead Engineer-AI Projects (.NET Core & SQL Server)
NeST Digital —Kochi, Kerala
- Full-time
- Azure
- Software development
- APIs
9d
Site Reliability Engineer I
Zafin —Thiruvananthapuram, Kerala
- Azure
- Computer Science
- Master's degree
- Paid time off
Business Analyst - Prompt Engineering and AI
Times World Information Technology —Thiruvananthapuram, Kerala
- Microsoft Powerpoint
- Microsoft Excel
- Azure
EY - GDS Consulting - AI And DATA - NVIDIA Pyhsical AI - Senior
EY —Thiruvananthapuram, Kerala
- Azure
- DevOps
- Master's degree
Data Engineer
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Azure
- Computer Science
- Master's degree
3d
Senior Software Engineer- Net Core - With AI/ML
NeST Digital —Kochi, Kerala
- Full-time
- Azure
- Software troubleshooting
- DevOps
DevOps Engineer
Leegality —Cannanore, Kerala
- Full-time
- Hybrid work
- Azure
- AWS
- Python
- Flexible schedule
Team Lead – Artificial Intelligence (AI)
BEO software —Kochi, Kerala
- Full-time
- Azure
- Doctoral degree
- Computer Science

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AI Engineer

Prevalent AI
Kakkanad, Kochi, Kerala

Apply Now

Job details

Full-time

Qualifications

CI/CD
Authentication
Azure
Law
MCP
React
Master's degree
AWS
Continuous integration
APIs
AI
Python

Full job description

Role Purpose

As an AI Engineer at Prevalent AI, you will independently design, build, optimize , and deploy production-grade Generative AI systems across our Exposure Management and Data Fabric platforms. You will own end-to-end AI components such as RAG pipelines, multi-agent workflows, LLM-backed APIs, guardrail-enforced inference flows, and cloud-native AI integrations, while collaborating closely with platform, backend, and product teams.

This role is suited for engineers with hands-on, real-world experience building and operating GenAI systems in production, who can take ownership of design decisions, performance tuning, and reliability of AI-driven features.

Key Accountabilities

Design, build, and own production-ready GenAI systems, including RAG pipelines, embedding workflows, vector search architectures, tool-using agents, and LLM-integrated microservices.

Create and manage MCP servers and associated tools, integrating and orchestrating them via AI agents

Develop and maintain Fast API -based AI services integrated with LLMs, vector databases, cloud inference endpoints, and orchestration layers.

Architect and implement agentic AI pipelines using frameworks such as Lang Chain , Lang Graph , ADK, Crew AI , or other relevant agent-based frameworks for multi-step reasoning, tool orchestration, autonomous agents, and structured LLM workflows.

Integrate and operate cloud-based AI services using Google ADK (Gemini / Vertex AI), AWS Bedrock, or Azure OpenAI, including model selection, endpoint configuration, and cost-aware inference.

Apply advanced prompt engineering strategies (structured prompting, React , CoT , few-shot, tool-calling) and systematically reduce hallucinations and failure modes.

Implement and contribute to LLM fine-tuning workflows ( LoRa , QLoRA , PEFT), including dataset preparation, training, evaluation, and deployment considerations.

Design and enforce AI guardrails using frameworks such as NeMo Guardrails or Guardrails AI to ensure policy-compliant, safe, and explainable outputs.

Lead model evaluation and optimization, focusing on latency, accuracy, robustness, hallucination mitigation, and cost efficiency.

Own testing and deployment of AI services, including unit tests, integration tests, CI/CD pipelines, and environment-specific configurations (cloud/on-prem).

Produce and maintain high-quality technical documentation covering prompts, workflows, vector schemas, architectural decisions, and API contracts.

Collaborate with cross-functional teams to translate product requirements into scalable, reliable AI solutions and mentor junior engineers when needed.

Skills & Experience

Must have skills:

Strong hands-on experience with LangChain and LangGraph for building and operating complex LLM workflows and agentic systems.

Proven experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines using embedding models and vector databases such as FAISS, Pinecone, Chroma, or equivalent.

Solid backend engineering experience with FastAPI , including async APIs, dependency injection, authentication, and service observability.

Practical experience with LLM fine-tuning approaches ( LoRA , QLoRA , PEFT) and understanding of when to fine-tune vs prompt vs retrieve.

Advanced understanding of prompt engineering, including CoT , React , tool calling, schema-based prompting, and prompt versioning strategies.

Experience implementing AI safety and guardrails, including output validation, policy enforcement, and prompt injection mitigation.

Hands-on exposure to cloud AI platforms such as Google ADK / Vertex AI, AWS Bedrock, or Azure OpenAI in production environments.

Strong Python skills with experience using Transformers, Hugging Face, embedding models, and inference optimization techniques.

Good to have skills:

Exposure to FastMCP or similar frameworks is an added advantage.

Good understanding of LLM evaluation metrics, hallucination control strategies, and real-world failure patterns.

Apply Now

Refine Your Search

azure ai engineer jobs in kerala

AI Engineer

CFCO - 1422 - AI Automation Engineer

Azure AI Engineer

AI Systems Engineer – Python

AI Engineer (2 -3 years)

AI /ML ENGINEER -1+ Years

Senior AI/ML Engineer - AI Center of Excellence (CoE)

Senior AI Engineer – Agentic AI_Remote

Generative AI (GenAI) Engineer

IAM Engineer

AI Automation Engineer

AI/ML Engineer

Lead Engineer-AI Projects (.NET Core & SQL Server)

Site Reliability Engineer I

Business Analyst - Prompt Engineering and AI

EY - GDS Consulting - AI And DATA - NVIDIA Pyhsical AI - Senior

Data Engineer

Senior Software Engineer- Net Core - With AI/ML

DevOps Engineer

Team Lead – Artificial Intelligence (AI)

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