Gen AI Consultant

Job Title: Gen AI Consultant
Experience: 1–3 Years
Location: Bangalore
Notice Period: Immediate Joiner
Domain: Generative AI, Machine Learning, NLP

About the Role:
We are seeking a motivated and innovative Gen AI Consultant with 1–3 years of hands-on experience to join our team. This role is ideal for someone passionate about applying cutting-edge generative AI technologies to solve real-world business problems. You will collaborate with cross-functional teams to design, develop, and deploy AI-driven solutions leveraging LLMs (Large Language Models), prompt engineering, and related tools.
Key Responsibilities:

• Collaborate with stakeholders to understand business needs and translate them into AI-based solutions.
  

• Develop and fine-tune prompts for large language models (e.g., GPT, Claude, Gemini).
  

• Design, prototype, and test generative AI applications (chatbots, content generation tools, copilots, etc.).
  

• Evaluate and integrate APIs and SDKs from leading Gen AI providers (OpenAI, Google, Hugging Face, etc.).
  

• Conduct research on Gen AI advancements and provide recommendations for adoption.
  

• Support model evaluation, performance tuning, and bias/ethics considerations.
  

• Document solutions, workflows, and best practices for internal and client use.
  

Required Skills & Qualifications:

• Bachelors degree in computer science, Data Science, AI/ML, or related field.
  

• 1–3 years of experience working in AI/ML, with at least 1 year in generative AI applications.
  

• Proficiency in Python and relevant AI/ML libraries (e.g., Hugging Face Transformers, LangChain, OpenAI SDK).
  

• Solid understanding of LLMs, NLP concepts, and prompt engineering.
  

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• Experience building proof-of-concepts and deploying Gen AI solutions.
  

• Familiarity with tools like Jupyter, VS Code, and cloud platforms (AWS, Azure, GCP).
  

• Strong problem-solving, communication, and analytical skills.
  

Good to Have:

• Experience with vector databases (e.g., Pinecone, FAISS, Weaviate).
  

• Knowledge of RAG (Retrieval-Augmented Generation) pipelines.
  

• Understanding of model fine-tuning or RLHF.
  

• Prior experience in consulting or client-facing roles.