AI Software Developer

2 days ago

Gandhinagar, Gujarat, India beBeeArtificialintelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Generative AI Engineer Job Opportunity

This is an exciting opportunity for a skilled software developer with expertise in Generative AI and Large Language Models (LLMs) development to join our team.

  • Key Responsibilities:
  • Design, develop, and deploy AI/ML solutions for Generative AI and LLMs.
  • Fine-tune, prompt-engineer, and optimize LLMs for domain-specific tasks.
  • Integrate LLMs with APIs, databases, vector stores, and enterprise applications.
  • Evaluate and implement model deployment strategies in various environments.
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions.
  • Stay updated with the latest advancements in AI, ML, and GenAI research and propose adoption of new technologies.
  • Implement MLOps best practices for continuous training, deployment, and monitoring of models in production.
  • Ensure responsible AI practices, focusing on bias mitigation, data privacy, and compliance.

Required Skills and Qualifications:

  • 5+ years of experience in software development, preferably in Python, with familiarity with Java, C#, or Node.js.
  • 2+ years of hands-on experience in Generative AI and LLM-based development.
  • Strong knowledge of AI/ML fundamentals, including NLP, deep learning, embeddings, and transformers.
  • Experience with LLMs, such as OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral, or similar.
  • Proven track record of delivering at least 2 production-grade LLM-based projects.
  • Experience with frameworks like LangChain, LlamaIndex, Haystack, or similar.
  • Familiarity with vector databases, such as Pinecone, Weaviate, Milvus, FAISS, Chroma.
  • Hands-on experience with cloud platforms, such as AWS, Azure, GCP, and AI services, such as Bedrock, VertexAI, Azure OpenAI.
  • Proficiency in containerization and deployment tools, such as Docker, Kubernetes, CI/CD pipelines.
  • Experience with MLOps tools, such as MLflow, Kubeflow, Weights & Biases, for model lifecycle management.
  • Strong problem-solving, analytical, and communication skills.

Benefits:

  • Opportunity to work on cutting-edge AI and ML projects.
  • Collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.

How to Apply:

  • Please submit your resume and cover letter to apply for this exciting opportunity.

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