📋 Job Details at a Glance 📍 Location Kochi, Kerala, India 🏢 Company Milestone Technologies 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical engineering field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12.0 – ₹22.0 LPA 🏢 Industry Technology 🛠 Key Skills AI engineering machine learning backend architecture Retrieval-Augmented Generation knowledge graphs RDF SPARQL Gremlin vector databases pgvector Senior AI Engineer at Milestone Technologies — Full Details & How to Apply Milestone Technologies is seeking a Senior AI Engineer in Kochi, Kerala, India , offering a competitive salary range of ₹12.0 – ₹22.0 LPA . This role presents a unique chance to innovate in AI solutions, directly contributing to the development of autonomous LLM agents that redefine business decision-making. The demand for Senior AI Engineer jobs is surging as organizations increasingly leverage AI for enhanced operational efficiency and innovation. This role is pivotal in shaping how companies utilize AI technologies, particularly in the context of Milestone Technologies ' commitment to delivering cutting-edge IT services and solutions. Milestone Technologies , founded in 2005 , boasts a workforce of over 1,000 employees and is recognized for its robust culture of innovation and collaboration. The company’s focus on advanced technologies positions it as a leader in the tech industry, making it an ideal environment for a Senior AI Engineer to thrive and grow. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical engineering field and 2+ years experience to apply. This role not only offers a lucrative salary but also the chance to work with groundbreaking technologies in a rapidly evolving field. In this position, you will gain hands-on experience with essential skills such as AI engineering , machine learning , and backend architecture . Exposure to advanced tools like Retrieval-Augmented Generation and vector databases will set you apart in the job market, opening doors to future leadership roles in AI and technology. 📊 Role Difficulty: Medium | Competition Level: Medium | 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 Senior AI Engineer at Milestone Technologies is tasked with designing and implementing robust AI solutions, ensuring they meet performance and reliability standards while enhancing user experiences. Design and implement scalable AI solutions using Python and TypeScript , focusing on high performance and reliability. Develop and optimize backend architecture for LLM services, leveraging Kubernetes and OpenTelemetry to ensure system efficiency. Collaborate with data science and product teams to integrate AI models into existing systems, enhancing overall user experience. Monitor and analyze performance metrics of AI systems , ensuring they meet operational standards and user needs. Take ownership of AI observability frameworks , driving initiatives to improve system transparency and reliability. Document technical specifications and project updates, facilitating clear communication across teams and stakeholders. Engage with clients to understand their needs and provide tailored AI solutions , enhancing customer satisfaction and trust. This role fosters an ownership culture, allowing you to make a direct impact on the success of AI initiatives at Milestone Technologies . Required Skills & Technical Competencies The ideal candidate will possess a comprehensive skill profile, combining technical expertise in AI engineering with strong problem-solving abilities to tackle complex challenges. Technical Skills AI Engineering — advanced — critical for developing intelligent systems and hands-on experience with LLMs is expected. Machine Learning — intermediate — practical application in building predictive models, with familiarity in Retrieval-Augmented Generation essential. Backend Architecture — advanced — used daily to ensure system scalability and performance, requiring experience with REST and gRPC . Knowledge Graphs — intermediate — expertise in RDF , SPARQL , and Gremlin enhances data organization and retrieval capabilities. Problem-Solving — advanced — essential for addressing complex AI challenges and effectively meeting client requirements. Soft Skills & Professional Competencies Analytical Thinking — crucial for evaluating AI system performance metrics and identifying areas for improvement. Effective Communication — necessary for documenting technical specifications and engaging with clients to understand their needs. Adaptability — important for integrating new technologies and methodologies into existing systems. Collaboration — vital for working with cross-functional teams to enhance user experience through AI solutions. Good to Have (Bonus Skills) Experience with Azure OpenAI — unlocks advanced AI capabilities and integration opportunities. Familiarity with OpenSearch and Elasticsearch — enhances search functionalities within AI applications. Knowledge of Git — streamlines collaboration and version control in software development. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in relevant areas. Eligibility Criteria This role is designed for candidates with a strong academic background and relevant experience in AI engineering and related fields. A Bachelor's or Master's degree in Computer Science , AI , Data Science , or a related field is essential. Eligible batches include 2023 to 2026 , allowing recent graduates to apply their academic knowledge in a practical setting. A minimum of 2 years of experience is required, but freshers with relevant internships may also be considered. Academic performance should ideally be above 60% or equivalent CGPA to demonstrate a solid understanding of technical concepts. A portfolio showcasing relevant projects or a GitHub profile can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your educational background, relevant skills, and project experiences. Highlight your portfolio or GitHub profile for a comprehensive view of your capabilities. Pro tip: Tailor your application to emphasize your hands-on experience with specific technologies mentioned in the job description. Salary for Senior AI Engineer at Milestone Technologies 💰 Compensation ₹12.0 – ₹22.0 LPA The advertised compensation for the Senior AI Engineer role at Milestone Technologies is ₹12.0 – ₹22.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Milestone Technologies The selection process for the Senior AI Engineer role is designed to assess both technical and cultural fit, ensuring candidates align with the company's innovative approach. 1 Technical Screening — 60 minutes, online coding test assessing algorithm and data structure skills. 2 Technical Interview — in-depth discussion on AI concepts, backend architecture, and technologies like Python and Kubernetes. 3 Behavioral Interview — evaluates cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discusses salary expectations and company culture, with an offer timeline of 1 week. Topic-wise Preparation Guide Round 1: Technical Screening Data Structures — understanding arrays, linked lists, and trees is crucial for coding challenges — GeeksForGeeks Algorithms — focus on sorting and searching algorithms relevant to AI applications — LeetCode Complexity Analysis — be prepared to analyze time and space complexity of your solutions — Khan Academy Python Basics — ensure proficiency in Python syntax and libraries used in AI development — W3Schools Round 2: Technical Interview Machine Learning Concepts — deep dive into supervised and unsupervised learning techniques — Coursera Backend Technologies — focus on RESTful APIs and gRPC, including their implementation in AI systems — Udemy Kubernetes — understand container orchestration and deployment strategies for AI applications — YouTube Vector Databases — familiarize yourself with pgvector and their role in AI data management — freeCodeCamp AI Observability — learn about OpenTelemetry and its importance in monitoring AI systems — LinkedIn Learning Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method for scenarios related to teamwork and conflict resolution. Problem-Solving Scenarios — be ready to discuss how you would approach specific AI challenges. Technical Deep-Dive — expect questions on your past projects and technical decisions made. Timeline & Expectations The entire selection process typically spans 2-3 weeks from application submission to receiving an offer. Focus on demonstrating both your technical expertise and cultural alignment with Milestone Technologies during interviews. Expected Interview Questions for Senior AI Engineer at Milestone Technologies The following questions are tailored to the specific tech stack and responsibilities of the role. Technical Questions Explain how Retrieval-Augmented Generation works and its applications in AI. What are the differences between REST and gRPC, and when would you use each? Describe your experience with vector databases like Pinecone or Weaviate. How do you implement observability in AI systems using OpenTelemetry? What are knowledge graphs, and how do they enhance data retrieval? Discuss a project where you utilized machine learning algorithms. Behavioral Questions Describe a time you faced a technical challenge and how you resolved it. How do you prioritize tasks when working on multiple projects? Give an example of a successful team collaboration experience. How do you handle feedback and criticism in a team setting? Role-Specific Questions What strategies would you employ to optimize the performance of an LLM? How would you approach integrating AI solutions into existing systems? Discuss your experience with AI observability frameworks and their importance. Structure your answers using the STAR method to clearly convey your thought process and results. Resume Tailoring & ATS Keywords for Senior AI Engineer Optimizing your resume for ATS is crucial to ensure it gets noticed for this role. ATS Keywords to Include Senior AI Engineer Machine Learning Backend Architecture Retrieval-Augmented Generation Knowledge Graphs Vector Databases Python TypeScript Kubernetes OpenTelemetry Elasticsearch AI Observability Resume Tips for This Role Highlight relevant projects that demonstrate your experience with AI technologies. Emphasize your proficiency in Python and TypeScript , as these are critical for the role. Include links to your GitHub or portfolio showcasing your work in AI and machine learning. Optimize your resume for ATS by using keywords from the job description. Avoid generic statements; focus on specific achievements and contributions. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include irrelevant work experience or generic skills that do not pertain to the role. About Milestone Technologies Milestone Technologies was founded in 2005 and has expanded to over 1,000 employees , with its headquarters located in California and a significant operational presence in Kochi, Kerala, India . This growth reflects the company’s commitment to providing innovative technology solutions across various sectors. The company specializes in cloud services , AI , and data analytics , offering products such as Retrieval-Augmented Generation and advanced knowledge graphs . Their expertise in machine learning and backend architecture positions them as a leader in the technology industry. Milestone Technologies fosters a supportive work culture, reflected in its impressive 4.2 employee satisfaction rating on Glassdoor. The company emphasizes employee development through mentorship programs and has been recognized for its inclusive workplace initiatives. Recently, Milestone secured a $10 million funding round aimed at enhancing its AI capabilities and expanding its service offerings. This investment underscores the company's strategic focus on innovation and growth in the technology sector. For freshers in technology, Milestone Technologies offers a robust platform to launch their careers, with access to cutting-edge projects and a strong mentorship program. This environment is ideal for developing essential skills in AI and machine learning. Why Join Milestone Technologies as Senior AI Engineer? Joining Milestone Technologies as a Senior AI Engineer provides a unique opportunity to work on groundbreaking AI projects that shape the future of technology. Advanced AI Techniques — Learn about Retrieval-Augmented Generation , a crucial skill for modern AI applications. Hands-On Experience — Gain practical knowledge with leading vector databases like Pinecone and Weaviate , enhancing your technical expertise. Career Advancement — After 1-2 years, potential roles include AI Architect or Machine Learning Lead , offering clear pathways for growth. Collaborative Culture — Experience a work environment that promotes innovation through teamwork and shared knowledge among peers. Vibrant Lifestyle — Enjoy the benefits of living in Kochi , which offers a lower cost of living and hybrid work flexibility. According to NexisGrow.com, the role of Senior AI Engineer at Milestone Technologies not only offers competitive compensation but also a chance to work on transformative projects that are reshaping the technology landscape. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior AI Engineer at Milestone Technologies? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical engineering field and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: AI engineering, machine learning, backend architecture, Retrieval-Augmented Generation, knowledge graphs. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12.0 – ₹22.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Milestone Technologies? 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: AI engineering, machine learning, backend architecture, Retrieval-Augmented Generation, knowledge graphs. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior AI Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of AI engineering, machine learning, backend architecture, Retrieval-Augmented Generation, knowledge graphs, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Milestone Technologies research, (5) Clear communication. ? What is the work culture like at Milestone Technologies? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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