ernakulam kerala network engineer Jobs – 111 Open Jobs Today

Generative AI (GenAI) Engineer
Tata Consultancy Services —Kochi, Kerala
- Azure
- Master's degree
- Bachelor's degree
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Emsyne —Kochi, Kerala
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Technovalley Software India Pvt Ltd —Kochi, Kerala
- Full-time
- Azure
- Oracle
- DevOps
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Emsyne —Kochi, Kerala
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Senior QA Engineer - AI/ML
Quest Global —Kochi, Kerala
- Full-time
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TC-Gen AI Architect -Manager
EY —Kochi, Kerala
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Prevalent AI —Kakkanad, Kochi, Kerala
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Solutions Architect - Senior Manager
EY —Kochi, Kerala
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Adfolks —Kochi, Kerala
- Full-time
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Data Architect
GadgEon —Kochi, Kerala
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EY —Kochi, Kerala
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MindLabs Systems —Kakkanad, Kochi, Kerala
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Cubet Techno Labs —Kochi, Kerala
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TC - MENA Technology - AI - Technical Lead - Senior
EY —Kochi, Kerala
Collaborate with business stakeholders to understand their needs and develop AI solutions that deliver tangible value. To qualify for the role you must have.

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Generative AI (GenAI) Engineer

Tata Consultancy Services -
Kochi, Kerala

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Job details

Qualifications

CI/CD
Performance tuning
Azure
Law
Kubernetes
Software deployment
Encryption
Master's degree
RBAC
Docker
Bachelor's degree
Continuous integration
REST
APIs
B.E.
Metadata
Flask
AI
gRPC
Python
Identity & access management
Design patterns

Full job description

Role Summary

Experienced Generative AI (GenAI) Engineer with 7–10 years of software/ML engineering experience and a strong track record of delivering LLM-powered applications into production. The role involves designing and building GenAI solutions such as RAG-based assistants, copilots, agent workflows, and enterprise knowledge systems, ensuring they are secure, scalable, observable, and cost-efficient. The engineer will work closely with product, data, security, and platform teams to create measurable business outcomes while establishing best practices for LLMOps, evaluation, and responsible AI.

Key Responsibilities

Build and productionize LLM-powered applications (chatbots, copilots, summarization, search/Q&A, document intelligence) with measurable quality and reliability.
Design and implement Retrieval-Augmented Generation (RAG) solutions: chunking strategies, embeddings, hybrid search, ranking, prompt templates, grounding, and citation-based responses.
Develop agentic workflows: tool/function calling, multi-step reasoning pipelines, orchestration, retry/fallback logic, and state management for complex tasks.
Implement LLMOps practices: prompt/version control, evaluation pipelines, model routing, A/B testing, cost monitoring, and automated regression testing.
Create scalable inference services and APIs (REST/gRPC) with performance optimization (latency, throughput, caching, streaming responses).
Build and maintain vector and knowledge layers: indexing pipelines, metadata enrichment, access control filtering, freshness strategies, and re-index automation.
Implement guardrails and safety controls: input/output filtering, jailbreak detection patterns, PII redaction, policy-based access, content moderation, and audit logging.
Establish observability and monitoring: quality metrics, grounding metrics, hallucination rate, drift, token usage, latency, error rates, and user feedback loops.
Collaborate with security/compliance to ensure enterprise requirements (RBAC, encryption, data residency, retention, DLP) are built into the solution.
Mentor junior engineers and contribute reusable components, internal libraries, templates, and reference architectures.

Required Qualifications

7–10 years of experience in software engineering, ML engineering, or applied AI with multiple production deployments.
Strong proficiency in Python with solid software engineering practices (testing, packaging, code reviews, design patterns).
Hands-on experience building GenAI solutions using LLMs (OpenAI/Azure OpenAI/Anthropic or open-source), including prompt engineering and structured outputs.
Experience with RAG systems and vector search concepts (embeddings, chunking, retrieval strategies, re-ranking, hybrid search).
Experience building backend services using FastAPI/Flask (or equivalent), with secure API design and performance tuning.
Strong understanding of LLM evaluation and quality measurement (golden datasets, automated scoring, human-in-the-loop feedback).
Experience with containerization and deployment: Docker, Kubernetes (or managed alternatives), CI/CD pipelines.
Strong fundamentals in data engineering concepts: ETL/ELT, data quality, schema evolution, metadata, logging, and lineage.
Working knowledge of cloud services (Azure/GCP) and enterprise identity/security (IAM/RBAC, secrets management, network security).

Location

Kochi

Job Function

TECHNOLOGY

Role

Consultant

Job Id

407961

Desired Skills

Artificial Intelligence

Desired Candidate Profile

Qualifications : BACHELOR OF ENGINEERING, BACHELOR OF TECHNOLOGY

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