Thane Maharashtra Software engineer ai application development and Jobs – 11 Open Jobs Today

AI Engineer
Techlicious Design & Development Pvt. Ltd. —Thane District, Maharashtra
- ₹50,000 - ₹1,50,000 a month
- Azure
- Computer Science
- DevOps
Quick apply
Senior Software Engineer - AI Application Development and Operations
Siemens —Thane District, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Technical Specialist AI
LANXESS India Private Limited —Thane District, Maharashtra
- Full-time
- Azure
- Master's degree
- Databases
- Health insurance
Software Development Engineer II, Amazon
ADCI HYD 13 SEZ —Thane District, Maharashtra
- Full-time
- AWS
- Machine learning
- Software development
Lead Technical Architect (Fullstack + Agentic AI)
Dentsu —Thane District, Maharashtra
- Full-time
- Azure
- Java
- SQL
Associate QA Engineer (LY-QAE01)
LEMON YELLOW LLP —Thane District, Maharashtra
- ₹3,00,000 - ₹4,50,000 a year
- Full-time
- Microsoft Excel
- Computer Science
- B.Sc
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AI Engineer

Techlicious Design & Development Pvt. Ltd.
Thane District, Maharashtra

Quick apply

Job details

Contractual / Temporary
₹50,000 - ₹1,50,000 a month

Qualifications

CI/CD
Azure
Law
Computer Science
DevOps
.NET Core
C#
Microsoft SQL Server
NoSQL
Git
.NET
Master's degree
SQL
OS Kernels
Docker
Bachelor's degree
Machine learning
PostgreSQL
Continuous integration
REST
GitHub
APIs
Data science
AI
gRPC
Communication skills
Entity Framework
Python
Information Technology

Full job description

About the Role

We are seeking an innovative AI Engineer with strong .NET expertise to bridge the gap between enterprise backend engineering and modern Artificial Intelligence. In this role, you will lead the integration of Large Language Models (LLMs), AI agents, and intelligent workflows into high-performance .NET applications using modern enterprise frameworks.

You will work closely with product and data engineering teams to design, build, and deploy enterprise-grade AI solutions, leveraging C#, Semantic Kernel, Azure OpenAI, and vector database architectures.

Key Responsibilities

AI Architecture & Integration: Design, build, and deploy AI-driven features, RAG pipelines (Retrieval-Augmented Generation), and agentic workflows inside .NET Core / C# enterprise applications.
Framework Implementation: Utilize Microsoft Semantic Kernel or LangChain to orchestrate LLM prompts, memory state, function calling, and vector search tools inside backend API pipelines.
API & Backend Engineering: Build scalable, secure RESTful APIs, gRPC services, and microservices using .NET Core / .NET 8+ and C#.
Vector Search & Data Engineering: Implement and query vector databases (e.g., Azure AI Search, Pinecone, Qdrant, or Pgvector) for semantic retrieval and context augmentation.
Model Optimization & Fine-Tuning: Evaluate, benchmark, and optimize LLMs (OpenAI GPT, Llama, Claude) for latency, token efficiency, hallucination reduction, and accuracy.
MLOps & Cloud Deployment: Deploy AI services on Azure (Azure AI Studio, Azure Web Apps) using CI/CD pipelines, containerization (Docker), and automated testing practices.
Collaboration: Work with cross-functional product, security, and data science teams to translate business requirements into secure, high-performing AI products.

Required Skills & Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
Experience: 2 to 5 years of software engineering experience, with at least 1+ years focused on implementing AI models, LLM pipelines, or machine learning in production.
.NET Mastery: Expert knowledge of C#, .NET Core / .NET 8+, Entity Framework Core, LINQ, and asynchronous programming.
Generative AI Stack: Demonstrated hands-on experience with Microsoft Semantic Kernel, LangChain, OpenAI APIs, Azure OpenAI Service, or local LLM deployments.
RAG & Vector DBs: Solid experience with RAG architecture, embeddings, prompt engineering, and vector search engine integration (Azure AI Search, Qdrant, Pinecone, or Milvus).
Database Skills: Strong proficiency with SQL (MS SQL Server / PostgreSQL) and NoSQL databases.
Cloud & DevOps: Hands-on experience with Microsoft Azure (Azure App Services, Key Vault, Cognitive Services), Docker, and Git/GitHub Actions.
Communication: Exceptional verbal and written communication skills to explain complex AI capabilities to both technical and business stakeholders.

Nice-to-Have

Microsoft Certification: Azure AI Engineer Associate (AI-102).
Familiarity with Python for quick AI prototyping or data science pipeline validation.
Experience with AI safety, content guardrails, governance frameworks, and data privacy standard enforcement.

Pay: ₹50,000.00 - ₹150,000.00 per month

Work Location: In person

Quick apply

Refine Your Search

software engineer ai application development and jobs in thane maharashtra

AI Engineer

Senior Software Engineer - AI Application Development and Operations

Technical Specialist AI

Software Development Engineer II, Amazon

Lead Technical Architect (Fullstack + Agentic AI)

Associate QA Engineer (LY-QAE01)

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