Python AI/ML Engineer

Title: Python AI/ML EngineerExperience: 3–4 YearsEmployment Type: Full-TimeLocation: Sector 59, NoidaWork Mode: Work from Office (5 days)Must be willing to work onsite at client locations when requiredNotice Period: Immediate to 15 days preferredEducation: Graduation Year: 2022 or earlier (Mandatory).NOTE: candidate must be here in Delhi/NCR or nearby only.Company Description:iLytix Services Pvt. Ltd. is a rapidly growing IT consulting and product engineeringcompany delivering enterprise-grade software solutions across AI, Cloud, DataEngineering, Enterprise Applications, and Digital Transformation.We specialize in:● Artificial Intelligence & Generative AI Solutions● Custom Software Development● Enterprise Product Engineering● Cloud & DevOps● Mobile & Web Application Development● Staff Augmentation & Dedicated Engineering TeamsOur mission is to help global enterprises accelerate innovation through cutting-edgetechnologies and highly skilled engineering teams.About the Role:We are looking for a Python AI Engineer with 3–4 years of experience to join our engineering team. The ideal candidate will have strong Python development skills along with hands-on experience in AI/ML, Generative AI, LLMs, and AI-powered applications.You will be responsible for developing, integrating, and deploying AI solutions while working closely with engineering and product teams. Key Responsbilites:Develop AI-powered applications and backend services using Python.Build and integrate Generative AI and LLM-based solutions.Develop RAG pipelines, including document processing, embeddings, retrieval, and generation.Work with LLM APIs, prompt engineering, vector databases, and AI frameworks.Develop REST APIs using FastAPI, Flask, or Django.Integrate AI models and third-party APIs into existing applications.Work with databases such as PostgreSQL, MySQL, MongoDB, or similar.Evaluate and improve AI model responses, accuracy, performance, and reliability.Build scalable and production-ready AI workflows.Write clean, maintainable, and well-tested Python code.Debug issues and optimize application performance.Collaborate with product, engineering, and business teams to understand requirements and deliver solutions.Stay updated with emerging developments in Generative AI, LLMs, and AI engineering.Required Skills:3–4 years of professional experience in Python development/AI engineering.Strong proficiency in Python and object-oriented programming.Hands-on experience with AI/ML or Generative AI applications.Good understanding of LLMs, embeddings, RAG, and prompt engineering.Experience with OpenAI, Gemini, Anthropic, or similar LLM APIs.Experience with FastAPI, Flask, or Django.Knowledge of REST APIs and microservices.Experience with SQL and databases.Familiarity with Git and Docker.Familiarity with async Python (asyncio) and background job processing (Celery, RQ, or similar)Experience with AWS, Azure, or GCP.Strong problem-solving and debugging skills.Comfort working with ambiguous or evolving requirementsGood communication and teamwork abilities.Strongly Preferred:Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.Experience with vector databases such as Pinecone, Chroma, FAISS, Qdrant, or pgvector.Knowledge of AI Agents / Agentic AI and tool calling.Experience with AWS, Azure, or GCP.Understanding of CI/CD and cloud deployment.Good to Have:Experience with PyTorch, TensorFlow, or Scikit-learn.Experience with streaming responses (SSE/WebSockets) for chat-style applicationsFamiliarity with message queues (Kafka, RabbitMQ, SQS)Exposure to Kubernetes or container orchestration beyond Docker.Education:Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field.Graduation Year: 2022 or earlier (Mandatory).What We Offer:Opportunity to work on real-world AI and Generative AI projects.Exposure to modern AI technologies and tools.Opportunity to work with global clients.Continuous learning and certification support.Career growth in AI, Cloud, and Product Engineering.Exposure to cutting-edge technologies including LLMs, AI Agents, RAG, and MLOpsCollaborative and learning-focused work environment.Opportunities for professional growth and career development.Healthy, collaborative, and inclusive work culture that encourages learning and innovation.Flexible shift timings with a focus on maintaining a healthy work-life balance.Opportunities for professional growth, skill development, and career advancement.Employee-friendly policies and a workplace that values ownership, creativity, and continuous learning.If you are passionate about Python and AI and enjoy building practical, production-ready solutions, we would love to hear from you.