Full Stack AI Engineer

Job Description

Job Title: Full Stack AI Engineer (3 Years Experience) Location: Gwalior Job Type: Full-time / Permanent Department: Software Development MODE: Work from Office (Mandatory) SALARY: 2 LPA - 5.5 LPA About Us: Synram Software Services Pvt. Ltd., a subsidiary of the renowned FG International GmbH, Germany, is a premier IT solutions provider specializing in ERP systems, E-commerce platforms, Mobile Applications, and Digital Marketing. We are committed to delivering tailored solutions that drive success across various industries. Job Description: We are seeking a highly skilled Full Stack AI Software Engineer with 3 years of experience to join our innovative team. The ideal candidate will have a strong foundation in full stack web development as well as hands-on experience in designing, developing, and deploying AI/ML models. You will play a critical role in building intelligent applications, integrating AI capabilities into end-to-end software solutions, and delivering scalable systems. Key Responsibilities: Design and develop full stack applications using modern frameworks (e.g., MERN/MEAN/Python-Django + React). Build and deploy machine learning models into production environments. Integrate AI capabilities (e.g., NLP, computer vision, recommendation systems) into web or mobile applications. Collaborate with data scientists, product managers, and UI/UX teams to design seamless AI-powered user experiences. Manage and optimize backend infrastructure (e.g., REST APIs, GraphQL, databases, cloud services). Write reusable, testable, and efficient code in both backend and frontend environments. Maintain model pipelines, monitoring performance, and retraining as needed. Leverage cloud platforms (AWS, GCP, Azure) for scalable AI and application deployment. Implement CI/CD pipelines for continuous integration and delivery. Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, or related field. 3+ years of experience in full stack development (Node.js, React, Angular, or similar). Strong understanding of machine learning fundamentals and frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with LLMs (e.g. Mistral, LLaMA, or comparable open-source models) LangChain or CrewAI or similar frameworks for agent orchestration JSON modeling of structured data (job requirements, profiles, etc.) REST API design & integration MongoDB or PostgreSQL Understanding of data protection (GDPR) in AI-driven applications Proficient in Python and JavaScript/TypeScript. Familiarity with cloud platforms (AWS, GCP, Azure). Experience with databases (SQL & NoSQL), Docker, and Git. Excellent problem-solving and communication skills. Nice-to-Have ( Extra Weightage) Experience with vector databases (e.g. Qdrant,Weaviate ) Prompt Engineering & Few-Shot Learning strategies, Mistall AI model Experience deploying LLMs on AWS GPU instances (EC2) Basic understanding of Angular-to-API communication Speech-to-Text (STT) and Text-to-Speech (TTS) processing tools (e.g., OpenAI Whisper, Coqui TTS)Please prioritize candidates who have previously integrated AI models into operational platforms, especially in the HRTech or ERPTech environment. Preferred Qualifications: Experience with LLMs, Generative AI, or AI agents. Exposure to MLOps tools like MLflow, SageMaker, or Kubeflow. Contributions to AI open-source projects or research publications. Understanding of data engineering pipelines and ETL processes. Why Join Us: Work on cutting-edge AI solutions with real-world impact. Flexible work environment and supportive team culture. Opportunities for career growth in a fast-paced, AI-first company. If you're ready to take on new challenges and join a team that values innovation and creativity, apply now! Mail us: career@synram.co or Call us on +91-9111381555 Last Date: 10/05/2025 Job Types: Full-time, Permanent Pay: ₹20,747.74 - ₹32,000.70 per month Benefits: Flexible schedule Health insurance Schedule: Fixed shift Morning shift Weekend availability Supplemental Pay: Overtime pay Performance bonus Yearly bonus Ability to commute/relocate: Gwalior, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Language: English (Preferred) Work Location: In person Application Deadline: 10/05/2025 Expected Start Date: 02/05/2025