Ameerpet Hyderabad Telangana Senior salesforce developer Jobs – 148 Open Jobs Today

Senior AI Engineer (4+ years ) (Immediate only)
Mully Technology —Hyderabad, Telangana
- Up to ₹22,00,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Salesforce
Quick apply
7h
Salesforce Senior Developer
Agilent Technologies (International) —Hyderabad, Telangana
- Full-time
- Computer Science
- Sales
- Salesforce
1h
Salesforce Technical Lead
Agilent Technologies (International) —Hyderabad, Telangana
- Full-time
- Computer Science
- Sales
- Salesforce
1h
Senior Product Manager - Platform Identity Services
Salesforce —Hyderabad, Telangana
- Full-time
- Azure
- Salesforce
- Product management
4h

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Senior AI Engineer (4+ years ) (Immediate only)
Mully Technology —Hyderabad, Telangana
We are seeking an experienced *Senior AI Engineer* to design, develop, and deploy *enterprise-grade Generative AI solutions* .
Up to ₹22,00,000 a year
Quick apply
7h
Salesforce Senior Developer
Agilent Technologies (International) —Hyderabad, Telangana
The Salesforce Senior Developer will be responsible for designing, developing, configuring, and supporting Salesforce solutions that meet business requirements…
1h

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Senior AI Engineer (4+ years ) (Immediate only)

Mully Technology
Hyderabad, Telangana

Quick apply

Job details

Full-time
Up to ₹22,00,000 a year
7 hours ago

Benefits

Provident Fund

Qualifications

CI/CD
Azure
Law
Computer Science
Software Engineering
MCP
Kubernetes
SAP
Salesforce
Microsoft SQL Server
Git
Master's degree
SQL
RBAC
OS Kernels
Bachelor's degree
PostgreSQL
Neo4j
Terraform
Continuous integration
REST
SharePoint
GitHub
APIs
ServiceNow
ISO 27001
JSON
Kafka
Data science
AI
Data Science

Full job description

We're Hiring – Senior AI Engineer (Generative AI | Azure)

Hybrid Mode - Hyderabad (Only Immediate Joiners)

Immediate Joiners only

We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions . The ideal candidate will have strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Azure AI Services, and modern AI engineering practices.

Key Responsibilities

Design and develop enterprise AI solutions using Microsoft Azure AI Services.
Build AI Assistants, Copilots, Agentic AI solutions, and autonomous AI workflows.
Design and implement RAG architectures using enterprise knowledge bases.
Build AI orchestration using Semantic Kernel, LangChain, LangGraph, AutoGen, and Azure AI Agent Service.
Develop MCP servers and clients for secure enterprise integrations.
Integrate AI applications with Microsoft 365, SharePoint, Teams, Dynamics 365, SQL Databases, REST APIs, and third-party platforms.
Build prompt engineering, function calling, structured outputs, tool calling, vector search, semantic search, and enterprise AI governance frameworks.
Monitor model performance, latency, token usage, cost optimization, security, and compliance.
Collaborate with architects, developers, and business stakeholders while mentoring junior engineers.Technical Summary
AI & LLMs: Azure OpenAI, GPT-4.x, OpenAI, Prompt Engineering, Prompt Chaining, Function Calling, Structured Outputs, Tool Calling, JSON Schema, Model Evaluation, Guardrails, Fine-tuning Concepts
Agentic AI: Multi-step Reasoning, Planning, Memory Management, Tool Orchestration, Multi-Agent Systems, Human-in-the-Loop Workflows, Reflection, Context Management, AI Observability
Frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen, Azure AI Agent Service
RAG & MCP: Retrieval-Augmented Generation, Vector Search, Semantic Search, Hybrid Search, Embeddings, Knowledge Grounding, Citation Generation, Document Ingestion, Chunking, MCP Architecture, MCP Servers & Client
Data Platforms: SQL Server, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Microsoft Fabric, Azure Databricks, Delta Lake, Vector Databases (Azure AI Search, Pinecone, Weaviate, Milvus, Qdrant)
Security & Governance: Responsible AI, Prompt Injection Prevention, RBAC, Content Filtering, Data Privacy, GDPR, ISO 27001, Azure Key Vault, Audit Logging & Monitoring
Nice to Have: Microsoft Copilot Studio, Microsoft 365 Copilot, GitHub Copilot Enterprise, Azure AI Speech & Vision, GraphRAG, Neo4j, MLflow, Hugging Face, Ollama, Llama/Mistral, Terraform, Event-Driven Architecture, Kafka/Azure Event Hubs, CI/CD for AI Workloads

Experience & Qualifications

5+ years in Software Engineering
3+ years of Microsoft Azure experience
2+ years building production-grade Generative AI/LLM solutions
Proven experience delivering enterprise AI applications from design to production
Experience integrating AI with Microsoft 365, Dynamics 365, SAP, ServiceNow, or Salesforce is highly desirable
Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering, or related field
Microsoft Azure AI Engineer Associate (AI-102) preferred; Azure/OpenAI/Kubernetes certifications are an advantage

Share your resume: [email protected]

Pay: Up to ₹2,200,000.00 per year

Benefits:

Provident Fund

Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad, Hyderabad District)

Quick apply

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Senior AI Engineer (4+ years ) (Immediate only)

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Senior Product Manager - Platform Identity Services

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