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Job Description
Experience: 3 - 5 Years
Location: Ahmedabad
Priority: Immediate joiners preferred
Job Summary
We are seeking an Gen AI Engineer with 3+ years of experience in building and deploying intelligent systems. The role focuses on developing scalable ML solutions, optimizing models, and solving real-world business problems.
Key Responsibilities
- Design, develop, train, evaluate, and deploy ML/DL models
- Work on classification, regression, clustering, NLP, and recommendation systems
- Perform data preprocessing, feature engineering, hyperparameter tuning, and model optimization
- Hands-on experience with AI tools and developer productivity tools such as n8n, Cursor, Claude, ChatGPT, GitHub Copilot, and similar AI-assisted automation/coding platforms
- Experience using AI tools effectively for automation, development workflows, debugging, code generation, and productivity enhancement
- Build and fine-tune Generative AI models (LLMs, VAEs, diffusion models) using Hugging Face, LangChain, OpenAI, LlamaIndex
- Develop RAG pipelines, prompt engineering workflows, and embedding-based search systems
- Build Multi-Agent Systems and agent workflows using CrewAI, LangGraph, AutoGen, etc.
- Integrate AI solutions into scalable production systems
- Monitor model performance, accuracy, latency, and reliability
- Collaborate with cross-functional teams and stay updated with latest AI/ML advancements
- Strong Python programming skills
- Strong understanding of ML concepts:
- Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or Keras
- Practical experience in:
- Model training & fine-tuning
- LLMs & Generative AI
- RAG architecture
- Prompt Engineering
Looking to get Placed? Try our Placement Guarantee Plan
- Embeddings & Vector Search
- Experience with vector DBs: Pinecone, Weaviate, Chroma, FAISS
- Experience with LangChain, LlamaIndex, OpenAI APIs
- Knowledge of Multi-Agent/Agentic AI systems
- Experience with FastAPI/Flask model deployment
- Familiarity with AWS/GCP/Azure
- Knowledge of Git and MLOps tools (MLflow, Airflow, Kubeflow)
- Basic understanding of Spark/Hadoop and ETL pipelines
- 5-day work week & Flexible work hours
- Growth-focused journey with regular rewards and recognition
- Focus on learning & development
- Competitive, goal-driven culture
Skills
PythonEtlAi/mlPrompt EngineeringAi EngineerFlaskAiMlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
Important dates & deadlines?
Application Deadline
08 Sep 26, 03:01 PM IST
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