Direct message the job poster from Relanto
We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation. You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems.
Key Responsibilities:
- Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.
- Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.
- Develop and optimize ML models, leveraging classical and deep learning techniques.
- Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.
- Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.
- Develop data pipelines for training, validation, and inference.
- Work on scalable AI solutions, ensuring performance and cost efficiency in deployment.
- Collaborate with cross-functional teams to integrate AI models into production applications.
Required Skills & Qualifications:
- 2+ years of experience in AI/ML development.
- Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Hands-on experience with LLMs, GenAI, and RAG architectures.
- Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).
- Knowledge of ML algorithms, deep learning architectures, and NLP techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.
- Experience with LangChain or LlamaIndex for LLM applications is a plus.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
Nice-to-Have Skills:
- Experience with multi-modal AI models (text, image, video).
- Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI).
- Familiarity with prompt engineering and fine-tuning strategies.
- Health and Wellness: Healthcare policy covering your family and parents.
- Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)
- Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.
- Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.
- Rewards and Recognitions: Recognition and rewards programs in place to celebrate your achievements and contributions.
To find out more about us, head over to our Website and LinkedIn
Seniority level
Employment type
Job function
Job function
Information TechnologyIndustries
IT System Custom Software Development
Referrals increase your chances of interviewing at Relanto by 2x
Sign in to set job alerts for “Generative AI Engineer” roles.
Senior Software Engineer – Generative AI, Go/Python, AWS, Kubernetes (7 - 12 Years)
Artificial Intelligence/Machine Learning Engineer - Generative AI
Senior Software Engineer – Generative AI, Go/Python, AWS, Kubernetes (7 - 12 Years)
Generative AI Engineer - Research and Innovation
Interesting Job Opportunity: Generative AI Engineer - LLM Models
Generative AI-Software Engineer- Senior Associate
Software Development Engineer II (AI Engg)
Principal Research Engineer, Generative AI
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.