Job Overview
| Particulars | Details |
|---|---|
| Position | Senior AI Engineer |
| Company | Radixweb |
| Location | Ahmedabad, Gujarat |
| Job Type | Full-Time |
| Experience | 5 - 8 years |
| Category / Department | IT |
| Application Mode |
🏢 About Radixweb
Founded in 2000, Radixweb is a global software engineering and custom software development company specializing in building, modernizing, and scaling enterprise-grade digital products and platforms.
Over the past two decades, Radixweb has evolved into a trusted technology partner for startups, mid-sized businesses, and Fortune 500 enterprises by delivering scalable, secure, and high-performance software solutions.
Today, Radixweb provides end-to-end product engineering services with expertise across:
✅ Artificial Intelligence & Generative AI
✅ Data Engineering & Analytics
✅ Cloud Computing Platforms
✅ Enterprise Software Engineering
✅ Blockchain & Emerging Technologies
✅ Internet of Things (IoT)
✅ Virtual Reality (VR)
✅ Digital Transformation
Why Radixweb Stands Out
🔹 Advanced Technology Expertise
Deep capabilities in AI, Machine Learning, Cloud Computing, Blockchain, VR, and IoT.
🔹 Engineering Excellence
650+ technology professionals delivering enterprise-scale solutions globally.
🔹 Certified Development Processes
ISO 9001 and ISO 27001 certified development practices.
🔹 Innovation-Driven Approach
TOGAF-certified experts and proprietary frameworks that accelerate software delivery.
🔹 Industry Partnerships
Microsoft Solutions Partner, Google Cloud Partner, and AWS ecosystem expertise.
🔹 Global Presence
Serving customers across North America, Europe, Middle East, Asia-Pacific, and beyond.
Industries Served
• Healthcare
• FinTech
• HRTech
• Manufacturing
• LegalTech
• Enterprise Technology
Radixweb continues to lead the future of software engineering by combining AI-driven innovation, cloud-native architecture, and engineering excellence.
India Headquarters
Radixweb
Ekyarth, Behind Nirma University
Chharodi
Ahmedabad – 382481
Gujarat, India
💡 Editor's Note / Preparation Tip
✅ Revise LLM architectures and transformer fundamentals.
✅ Prepare LangChain, LangGraph, and RAG implementation concepts.
✅ Review prompt engineering techniques and optimization strategies.
✅ Practice vector database and embedding workflows.
✅ Prepare AI agent architecture and orchestration concepts.
✅ Strengthen Python, API integration, and cloud deployment knowledge.
✅ Review model evaluation, fine-tuning, and AI observability practices.
✅ Be ready to discuss production AI systems you've designed or deployed.
📋 Resume Preparation Tips
✔ Highlight production-level Generative AI projects prominently.
✔ Showcase experience with LLMs, LangChain, and AI agents.
✔ Include cloud platforms, vector databases, and MLOps expertise.
✔ Quantify business impact and AI performance improvements.
✔ Mention AI frameworks, libraries, and deployment platforms used.
✔ Highlight architecture design and leadership experience.
✔ Include open-source contributions, publications, or certifications.
📝 Job Description
🚀 We're Hiring – Senior AI Engineer 🚀
🏢 Company: Radixweb
💼 Position: Senior AI Engineer
📍 Location: Ahmedabad, Gujarat
🏢 Work Mode: Work From Office
👨💻 Experience Required: 5–8 Years
🧠 Core Skills: LLMs, LangChain, Generative AI
⭐ Good to Have Skills
• LangGraph
• LlamaIndex
• OpenAI APIs
• Anthropic Claude APIs
• Hugging Face
• Fine-Tuning LLMs
• AI Workflow Orchestration
• Multi-Agent Systems
• MLOps
• Kubernetes & Docker
• Knowledge Graphs
• Data Engineering
• AI Security & Governance
• Distributed Systems
Radixweb is seeking a highly skilled Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions powered by Large Language Models and Generative AI technologies. The selected candidate will work closely with product teams, architects, cloud engineers, and business stakeholders to build scalable AI applications and intelligent systems.
This role requires deep expertise in modern AI frameworks, strong software engineering principles, and the ability to architect and deliver production-ready AI solutions that solve complex business challenges.
🔹 Ideal Candidate Profile
✔ 5–8 years of software engineering and AI/ML experience.
✔ Strong expertise in LLMs, Generative AI, and LangChain.
✔ Experience building production-grade AI applications.
✔ Solid understanding of machine learning and deep learning concepts.
✔ Experience with vector databases and RAG architectures.
✔ Strong programming skills in Python.
✔ Experience with cloud-native architectures and deployment.
✔ Excellent analytical, problem-solving, and communication skills.
🔹 Why Join Radixweb?
✨ Work with one of India's leading software engineering companies.
✨ Opportunity to build cutting-edge AI and enterprise solutions.
✨ Exposure to global clients across multiple industries.
✨ Work alongside experienced AI and software architects.
✨ Strong innovation-driven engineering culture.
✨ Excellent learning and career advancement opportunities.
✨ Opportunity to contribute to next-generation AI technologies.
📩 How to Apply
Interested candidates can share their updated resume at:
🎯 Key Responsibilities
- ✓ Design and develop AI-powered applications using LLMs and Generative AI technologies.
- ✓ Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
- ✓ Develop AI agents and multi-agent systems using LangChain and related frameworks.
- ✓ Design scalable AI architectures and technical solutions.
- ✓ Integrate AI models with enterprise applications and cloud platforms.
- ✓ Evaluate, fine-tune, and optimize large language models.
- ✓ Develop APIs and services supporting AI applications.
- ✓ Collaborate with product managers, architects, and engineering teams.
- ✓ Implement best practices for AI governance, security, and monitoring.
- ✓ Research emerging AI technologies and contribute to innovation initiatives.
- ✓ Ensure high-quality, scalable, and production-ready AI deployments.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Senior AI Engineer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹12,00,000 - ₹25,00,000+ per annum (Senior/Lead level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
Q1. What experience level is required?
👉 Candidates should have 5–8 years of relevant experience.
Q2. Is prior Generative AI experience mandatory?
👉 Yes. Strong experience with LLMs, Generative AI, and LangChain is required.
Q3. Is this a remote role?
👉 No. This is a Work From Office opportunity based in Ahmedabad.
Q4. Is Python experience mandatory?
👉 Yes. Strong Python programming skills are essential.
Q5. Will the role involve AI agent development?
👉 Yes. Experience building AI agents and RAG systems is highly desirable.
Q6. Is cloud platform experience required?
👉 Yes. Experience with AWS, Azure, or Google Cloud is preferred.
Q7. Is experience with vector databases important?
👉 Yes. Vector database and embedding knowledge is highly valuable.
Q8. Are there opportunities to work on cutting-edge AI technologies?
👉 Absolutely. The role focuses heavily on modern AI, LLMs, and enterprise AI applications.
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