📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Burns & McDonnell 👥 Experience Experienced 🎓 Qualification B.Tech/B.E. / BCA / B.Sc. 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12–₹20 LPA (Expected) 🏢 Industry Technology 🛠 Key Skills Python FastAPI React Angular Svelte TypeScript GCP Gemini Vertex AI RAG AI Engineer – Full Stack Generative AI at Burns & McDonnell — Full Details & How to Apply Burns & McDonnell is seeking an AI Engineer – Full Stack Generative AI in Bengaluru, Karnataka, India , where you'll work on cutting-edge AI applications utilizing Google Cloud Platform. This role is pivotal as the demand for AI engineers is surging, particularly in India, making it a key opportunity for those looking to innovate in the tech sector. The AI market is experiencing significant growth, and the role of an AI Engineer – Full Stack Generative AI is crucial for driving advancements in technology. As organizations increasingly adopt AI solutions, this position at Burns & McDonnell allows you to contribute directly to the development of generative AI applications that enhance user experiences and operational efficiency. What sets Burns & McDonnell apart is its rich history and commitment to engineering excellence since 1898 . With over 7,000 employees globally, the company is recognized for its engineering and construction services, fostering a culture of innovation and collaboration that is ideal for an AI Engineer – Full Stack Generative AI . We encourage 2023, 2024, 2025, 2026 graduates with a background in B.Tech/B.E. / BCA / B.Sc. to apply for this role. The position is designed for experienced candidates, offering a competitive salary of ₹12–₹20 LPA (Expected) . In this role, you will gain hands-on experience with advanced tools such as Python , FastAPI , React , Angular , Svelte , TypeScript , GCP , Gemini , Vertex AI , RAG , LangChain , LangGraph , Google ADK , Vector DB , Docker , PostgreSQL , Terraform , and CI/CD . This exposure will not only enhance your technical skills but also open doors to advanced career opportunities in the rapidly evolving AI landscape. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The AI Engineer – Full Stack Generative AI at Burns & McDonnell is tasked with developing innovative generative AI applications that leverage cutting-edge technologies for optimal performance and user satisfaction. Develop production-grade generative AI applications using Python and FastAPI to ensure robust performance and scalability across various platforms. Implement RAG pipelines utilizing Google Cloud Platform (GCP) to enhance data retrieval and processing efficiency, ensuring timely access to critical information. Collaborate with cross-functional teams, including data scientists and UX/UI designers, to create seamless user experiences that meet client expectations. Monitor application performance metrics using tools like Google Cloud Monitoring to ensure optimal functionality and user satisfaction. Take ownership of API development and deployment processes, ensuring adherence to best practices in CI/CD using Docker and Terraform . Document technical specifications and workflows to facilitate knowledge sharing and project continuity, enhancing team collaboration. Engage with clients to troubleshoot issues and provide tailored AI solutions that meet their specific needs, ensuring high levels of client satisfaction. This role fosters an ownership culture where engineers directly impact project outcomes, driving innovation and excellence in AI solutions. Required Skills & Technical Competencies The ideal candidate must possess a robust skill profile that includes proficiency in various programming languages and frameworks essential for AI development. Technical Skills Python — advanced — essential for developing backend services and AI models, utilizing libraries like TensorFlow or PyTorch. FastAPI — advanced — crucial for building high-performance APIs, enabling rapid development and deployment of applications. React — intermediate — used for creating interactive user interfaces, enhancing user engagement and experience. Angular — intermediate — employed to develop dynamic web applications, ensuring responsive design and functionality. Svelte — intermediate — utilized for building highly efficient user interfaces, optimizing performance in web applications. Google Cloud Platform (GCP) — advanced — utilized for deploying applications and managing cloud resources, vital for scalability and performance. Docker — advanced — important for containerizing applications, ensuring consistency across development and production environments. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a solid educational background and relevant experience in AI development. Candidates must hold a B.Tech/B.E. , BCA , or B.Sc. degree, providing the foundational knowledge required for AI development. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing recent graduates to apply and start their careers in AI. While the role is primarily for experienced hires, freshers with relevant internships or projects can still be considered. A minimum academic performance of 60% is preferred, ensuring candidates have a solid grasp of technical concepts. Having a portfolio or GitHub showcasing relevant projects will significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting your educational qualifications, technical skills, and relevant projects. Include links to your portfolio or GitHub for easy access to your work. Pro tip: Tailor your application to highlight specific projects that utilized Python , FastAPI , and GCP , demonstrating your direct experience with the technologies relevant to this role. Salary for AI Engineer – Full Stack Generative AI at Burns & McDonnell 💰 Compensation ₹12–₹20 LPA (Expected) The advertised compensation for the AI Engineer – Full Stack Generative AI role at Burns & McDonnell is ₹12–₹20 LPA (Expected) . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI Engineer – Full Stack Generative AI Upskilling with the right resources significantly enhances your chances of selection for this specialized role in AI engineering. Recommended Courses & Resources Python — Essential for developing AI applications and backend services. React — Vital for building user interfaces in full-stack applications. TypeScript — Enhances code quality and maintainability in large applications. Docker — Crucial for containerization and deployment of applications. KodNest — Provides hands-on experience with modern development practices. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Customize your resume to match the job description. ❌ Neglecting to showcase relevant projects — Highlight internships or projects that demonstrate your skills. ❌ Overloading your resume with jargon — Use clear examples to illustrate your expertise. ❌ Ignoring the importance of a cover letter — Write a cover letter that expresses your interest in the role. ❌ Submitting applications without proofreading — Always check for errors before submission. ❌ Not preparing for interviews — Practice common AI and technical questions beforehand. Before You Apply — Checklist ✅ Research Burns & McDonnell to understand its culture and values before applying. ✅ Prepare a tailored resume that aligns with the job requirements and highlights relevant skills. ✅ Gather any necessary documents, such as transcripts or certificates, to support your application. ✅ Ensure your LinkedIn profile is updated and reflects your skills and experiences. ✅ Practice common interview questions related to AI and technical skills. ✅ Follow the application instructions carefully to avoid any submission errors. ✅ Set reminders for application deadlines to ensure timely submissions. ✅ Prepare questions to ask during the interview to demonstrate your interest in the role. Resume Tailoring & ATS Keywords for AI Engineer – Full Stack Generative AI Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include AI Engineer Generative AI Python FastAPI GCP Docker React CI/CD PostgreSQL Terraform LangChain Vector DB Resume Tips for This Role Highlight relevant projects that demonstrate your experience with Python and AI technologies. Emphasize skills in cloud computing and API development, as these are critical for the role. Include links to your GitHub or portfolio to showcase your coding abilities and project work. Optimize your resume with keywords from the job description to pass through applicant tracking systems. Avoid including unrelated work experience that does not pertain to the AI field. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills that do not relate to AI engineering, as they dilute your focus. How to Apply for AI Engineer – Full Stack Generative AI at Burns & McDonnell Apply Now — Burns & McDonnell Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form with accurate personal and educational details. After submission, expect a confirmation email regarding your application status. Use the application portal to track the status of your application and any updates. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Burns & McDonnell NexisGrow.com does not charge any fees for job applications. Burns & McDonnell Burns & McDonnell was founded in 1898 and has grown to employ over 7,000 professionals across the globe. With headquarters in Kansas City, Missouri , the company operates in over 50 countries , showcasing a robust global footprint. This extensive reach allows Burns & McDonnell to deliver comprehensive engineering and construction solutions worldwide. The core offerings of Burns & McDonnell include integrated services in engineering , architecture , construction , and environmental consulting . The company is particularly recognized for its work in the energy sector , providing innovative solutions that leverage advanced technologies to meet client needs effectively. Their commitment to quality is evident in every project undertaken. Burns & McDonnell has been recognized for its exceptional workplace culture, earning a spot on Glassdoor's 'Best Places to Work' list multiple times. The company actively promotes employee development through various programs, including mentorship and training initiatives, ensuring that team members are equipped with the skills necessary for success in their careers. Recently, Burns & McDonnell has expanded its focus on AI and machine learning technologies , aligning with industry trends towards automation. This includes the integration of tools like Google Cloud Platform and Vertex AI into their operations, enhancing their ability to deliver data-driven solutions to clients. For freshers in technology, Burns & McDonnell offers a unique career launchpad. The opportunity to work on innovative projects in a supportive environment allows new employees to gain hands-on experience with cutting-edge technologies, such as LangChain and PostgreSQL , setting the stage for a successful career in the tech industry. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 burnsmcd.jobs Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Engineer – Full Stack Generative AI at Burns & McDonnell? Eligibility Tap to expand + Answer Candidates with B.Tech/B.E. / BCA / B.Sc. and Experienced experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, FastAPI, React, Angular, Svelte. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–₹20 LPA (Expected). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Burns & McDonnell? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, FastAPI, React, Angular, Svelte. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI Engineer – Full Stack Generative AI interview? Preparation Tap to expand + Answer (1) Core concepts of Python, FastAPI, React, Angular, Svelte, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Burns & McDonnell research, (5) Clear communication. ? What is the work culture like at Burns & McDonnell? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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