AI Systems Developer

About the RoleWe are seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI systems — including LLMs, Agentic AI frameworks, Computer Vision, and OCR solutions.You will be responsible for building complete AI pipelines, fine-tuning and optimizing models, and deploying them as scalable services using FastAPI.The ideal candidate is passionate about combining LLM intelligence with agentic automation — creating AI systems that can not only think, but also take action through tool usage, workflow orchestration, and real-world integrations.Key Responsibilities🔹 LLM & NLP DevelopmentFine-tune and deploy large language models (GPT, LLaMA, Falcon) for domain-specific applications.Implement RAG (Retrieval-Augmented Generation) pipelines using FAISS, Milvus, or Pinecone.Build intelligent Agentic AI systems using LangChain, LangGraph, or CrewAI — enabling autonomous, tool-using AI agents.Work with embeddings, vector databases, and prompt engineering to improve contextual accuracy.Develop pipelines for text preprocessing, tokenization, and semantic retrieval.🔹 Agentic AI & AutomationDesign multi-agent systems capable of task delegation and tool utilization (e.g., data fetching, analysis, report generation).Integrate OpenAI MCP (Model Context Protocol) to connect agents with real-world tools (Gmail, Notion, Google Calendar, Slack, etc.).Build intelligent workflows for automating tasks and making informed decisions.🔹 Computer Vision & OCRDevelop and train object detection, classification, and segmentation models using YOLO, Detectron2, or OpenCV.Implement OCR systems using Tesseract or easyOCR for extracting text from images.Prepare and augment datasets for training robust CV models.🔹 AI Deployment & API DevelopmentBuild and deploy AI microservices and APIs using FastAPI.Create modular and scalable AI backends for real-time or batch inference.Containerize applications with Docker and deploy to AWS, GCP, or Azure.Implement CI/CD pipelines for continuous deployment of AI models.🔹 Data EngineeringBuild data pipelines (ETL) for ingestion, preprocessing, and transformation.Work with SQL/NoSQL databases such as PostgreSQL, MySQL, or MongoDB.Perform large-scale data collection and cleaning using BeautifulSoup or Scrapy.Required Skills & QualificationsEducational Qualification:·      Bachelor’s degree in Computer Science, Software Engineering, or any equivalent field.Professional Experience:·      Minimum 2–3 years of hands-on experience in AI System development.AI & ML:Strong understanding of machine learning, deep learning, and neural networks.Experience in fine-tuning LLMs and developing RAG-based systems.Hands-on with LangChain, LlamaIndex, or CrewAI frameworks.Experience in model optimization, quantization, and inference tuning.Programming:Proficient in Python (NumPy, Pandas, PyTorch, TensorFlow).Strong experience with FastAPI, Docker, and RESTful API development.Databases:Experience with vector stores (FAISS, Pinecone, Milvus).Proficiency in SQL/NoSQL databases.Cloud & Deployment:Familiarity with AWS, GCP, or Azure for AI model hosting.Experience with Linux, Git/GitHub, and container orchestration.Nice to HaveExperience with real-time AI inference or edge deployment.Knowledge of Agentic orchestration tools (LangGraph, AutoGen, CrewAI).Familiarity with CI/CD pipelines and monitoring tools.Prior work in automation, chatbots, or autonomous AI agents.Soft SkillsStrong analytical and problem-solving mindset.Excellent communication skills to explain complex AI concepts.Collaborative and proactive team player.Self-motivated and eager to explore new AI frameworks and technologies.Compensation & BenefitsCompetitive and negotiable salary (based on skill and experience).Opportunities for research and innovation in emerging AI technologies.Long-term career growth in a rapidly expanding AI-driven organization.Yearly performance-based increments.Two festival bonuses per year.Opportunity to work on large-scale government and private software projectsFriendly, supportive, and knowledge-sharing work environment.