Job Overview
| Particulars | Details |
|---|---|
| Position | AI/ML Engineer |
| Company | Adept Consultants |
| Location | Bangalore |
| Job Type | Full-Time |
| Experience | 4 - 6 years |
| Category / Department | IT |
| Application Mode |
🏢 About Adept Consultants
Company Overview
Adept Consultants is a global IT consulting organization with over 27 years of experience in enterprise consulting, staffing, and managed services. With 1,300+ professionals operating across 4 countries and 3 continents, the company delivers enterprise AI, data, digital transformation, and consulting solutions for organizations worldwide.
Company Mission
To become the most trusted technology and consulting partner by delivering exceptional value through innovation, quality, and professionalism.
Company Vision
To empower enterprises with intelligent technologies, world-class consulting, and innovative digital transformation solutions.
Core Values
• Integrity
• Respect
• Customer Focus
• Quality
• Innovation
• Continuous Growth
What Makes Them Different
• 27+ years of enterprise consulting expertise.
• Global delivery operations across multiple countries.
• 1,300+ technology professionals.
• Strong focus on Enterprise AI and Digital Transformation.
• Trusted partner for enterprise consulting, staffing, and managed services.
Company Philosophy
Adept Consultants believes technology should empower businesses through intelligent innovation, operational excellence, and long-term customer success.
Adept Consultants
203 MSR Legend, Penamaluru,
Vijayawada, Andhra Pradesh, India
💡 Editor's Note / Preparation Tip
📄 Resume Preparation Tips
• Highlight enterprise AI and Generative AI projects.
• Showcase RAG, Agentic AI, and LLM implementation experience.
• Include Azure AI, LangGraph, and vector database projects.
• Add GitHub repositories, portfolios, or AI demos.
• Quantify project impact with measurable outcomes.
🎯 Interview Preparation
• Revise Python, LLM architecture, and RAG concepts.
• Prepare discussions around Agentic AI and AI workflow orchestration.
• Review Azure AI Foundry and Azure Cosmos DB implementations.
• Practice system design for scalable AI applications.
• Be ready to explain production deployment and optimization strategies.
💡 Professional Tips
• Build end-to-end AI applications using Azure AI services.
• Stay updated with the latest developments in LLMs and Agentic AI.
• Strengthen cloud deployment and AI architecture skills.
• Learn AI observability, evaluation, and monitoring practices.
• Contribute to open-source AI projects to strengthen your portfolio.
📝 Job Description
🤖 We're Hiring | AI/ML Engineer | Adept Consultants
Ready to build the future of Enterprise AI? 🚀 Adept Consultants is hiring an experienced AI/ML Engineer to join its growing AI team in Bangalore. If you're passionate about Generative AI, LLMs, Agentic AI, RAG, and Azure AI technologies, this is an exciting opportunity to work on cutting-edge enterprise AI solutions.
Position Details
💼 Position: AI/ML Engineer
📍 Location: Bangalore
🏢 Work Mode: Work From Office
💼 Experience: 4+ Years
🎓 Qualification: Bachelor's/Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field preferred
📄 Employment Type: Full-Time
⏰ Joining Preference: Immediate or Early Joiners Preferred
Preferred Skills
✔ Azure Cloud Services
✔ Prompt Engineering
✔ API Development & Integration
✔ AI Workflow Orchestration
✔ LangChain
✔ Model Optimization & Evaluation
✔ Enterprise AI Architecture
Candidate Requirements
• 4+ years of professional software development experience.
• Strong proficiency in Python programming.
• Hands-on experience with Generative AI technologies and LLMs.
• Practical experience building RAG-based AI applications.
• Knowledge of vector databases, preferably Azure Cosmos DB.
• Experience developing Agentic AI solutions and AI Agents.
• Familiarity with Copilot and AI-assisted development tools.
• Experience with Azure AI Foundry and LangGraph.
• Strong analytical, debugging, and problem-solving skills.
Why Join Adept Consultants?
✅ Work on cutting-edge Enterprise AI and Generative AI projects.
✅ Opportunity to build production-grade AI applications.
✅ Exposure to global enterprise consulting and transformation programs.
✅ Collaborative and innovation-driven engineering culture.
✅ Career growth with an organization having 27+ years of industry expertise.
✅ Work alongside experienced AI, cloud, and enterprise technology professionals.
✅ Contribute to impactful AI solutions across multiple industries.
📨 How to Apply
📧 Interested candidates can share their updated resumes at:
Hanisha.reddy@adeptgic.com
🤝 Know someone who would be a great fit? Tag them or share this opportunity with your network!
🎯 Key Responsibilities
- ✓ Design and develop enterprise-grade Generative AI applications.
- ✓ Build intelligent AI Agents and Agentic AI workflows.
- ✓ Develop Retrieval-Augmented Generation (RAG) solutions.
- ✓ Integrate LLMs with enterprise systems and APIs.
- ✓ Utilize Azure AI Foundry for AI solution development and deployment.
- ✓ Implement vector database solutions using Azure Cosmos DB and related technologies.
- ✓ Collaborate with cross-functional teams to deliver scalable AI products.
- ✓ Optimize AI models for performance, scalability, and reliability.
- ✓ Stay updated with emerging AI technologies and best practices.
💡 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 AI/ML 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 ₹6,00,000 - ₹12,00,000 per annum (Mid 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. Where is the job located?
📍 Bangalore.
Q2. How much experience is required?
Candidates should have 4+ years of relevant experience.
Q3. Which AI technologies are required?
Generative AI, LLMs, Agentic AI, RAG, Azure AI Foundry, LangGraph, and Python.
Q4. Is Azure experience preferred?
Yes. Experience with Azure AI Foundry and Azure Cosmos DB is highly preferred.
Q5. Is this a full-time opportunity?
Yes, this is a full-time position.
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