<p>Source: LinkedIn</p><p><strong>About The Role</strong><br><br>We are seeking a passionate Junior AI Engineer who thrives at the intersection of machine learning, generative AI, and AI agent systems. You’ll work on building intelligent systems, LLM-driven workflows, and microservices that leverage cutting-edge AI models. The ideal candidate is eager to experiment with both modern LLM frameworks and classical ML techniques, while collaborating closely with product and engineering teams.<br><br>Key Responsibilities</p><ul><li>Develop, fine-tune, and integrate LLM-based systems using platforms such as OpenAI, Gemini, and Hugging Face Transformers</li><li>Build and deploy AI microservices using FastAPI and Python</li><li>Design and prototype AI agents, prompt orchestration pipelines, and reasoning workflows (e.g., LangChain, OpenDevin, CrewAI, or custom agents)</li><li>Apply classical machine learning (classification, regression, clustering, feature extraction) where appropriate</li><li>Experiment with model evaluation, embeddings, and retrieval-augmented generation (RAG)</li><li>Collaborate with full stack teams to integrate AI features into production environments</li><li>Manage APIs, containers, and data pipelines for deploying scalable AI applications</li><li>Write clean, modular, and well-documented code</li></ul><p><strong>Required Skills & Experience</strong></p><ul><li>1–3 years of experience in Python with a focus on AI/ML projects</li><li>Strong knowledge of transformer models and experience using Hugging Face libraries</li><li>Understanding of prompt engineering, LLM evaluation, and function calling / tool use</li><li>Hands-on experience with FastAPI or Flask for serving ML models</li><li>Familiarity with LangChain, LLM agents, or multi-agent orchestration frameworks</li><li>Solid grasp of machine learning fundamentals (data preprocessing, model training, evaluation metrics)</li><li>Experience with NumPy, pandas, scikit-learn, and at least one deep learning framework (PyTorch or TensorFlow)</li><li>Exposure to cloud environments like GCP or AWS for deploying AI workloads</li><li>Good understanding of Git, Docker, and API integration</li></ul><p>Good to Have</p><ul><li>Experience with vector databases (e.g., Pinecone, Chroma, Weaviate, FAISS)</li><li>Knowledge of RAG pipelines and LLM tool/function calling</li><li>Experience integrating AI models into Node.js/Vue.js based full stack applications</li><li>Basic understanding of data pipelines, ETL, or MLOps workflows</li><li>Awareness of ethical AI and model interpretability best practices</li></ul><p>What We Offer</p><ul><li>Work on real-world Generative AI systems and AI agent orchestration projects</li><li>Mentorship from senior AI engineers and applied researchers</li><li>Access to GPU infrastructure and cloud AI tooling</li><li>Opportunity to work across the entire AI lifecycle — from ideation to production deployment</li><li>Competitive compensation and opportunities for rapid growth</li></ul><p>Skills: langchain, openai apis,,scikit-learn, pytorch/tensorflow,hugging face</p>
684
1502
Is Remote? - False
Min Salary - None
Max Salary - None
Job Type - Remote
Organization - BNBRUN SOLUTIONS LLP
Skills - None
Total Reviews - 0
Address Line 1 - 203, Ratnanjali Square
Address Line 2 - Prernatirth Derasar Rd
City - Ahmedabad
State - Gujarat
Country - 101
Postal Code - 380015