
Gen AI Developer
6 days ago
Job Description :
Role Overview
We are looking for a skilled Generative AI Developer with strong hands-on expertise in
designing, fine-tuning, and deploying LLM (Large Language Model)-based solutions.
The ideal candidate will combine deep technical knowledge of AI/ML with strong
software engineering skills to build scalable, production-ready applications powered by
Generative AI. You will work closely with data scientists, ML engineers, and product
teams to create innovative solutions across multiple domains.
Key Responsibilities
- Develop and deploy Generative AI applications using LLMs, diffusion models,
and other foundation models.
- Fine-tune pre-trained models (GPT, LLaMA, Falcon, Mistral, etc.) for domain[1]specific business use cases.
- Implement RAG (Retrieval-Augmented Generation) pipelines with vector
databases such as FAISS, Pinecone, Weaviate, or Milvus.
- Build APIs and microservices to integrate Gen AI solutions into enterprise
applications.
- Optimize model performance for scalability, latency, and cost efficiency.
- Collaborate with data engineers on ETL/ELT pipelines and preparation of
unstructured/semi-structured data.
- Apply prompt engineering and prompt-tuning techniques for improved model
accuracy and contextual responses.
- Ensure responsible AI usage by applying bias mitigation, compliance, and
security best practices.
- Stay updated with the latest research and trends in Generative AI and applied
ML.
Required Skills & Experience
- Education: Bachelors or Masters in Computer Science, Artificial Intelligence,
Data Science, or a related field.
- Programming: Strong expertise in Python and libraries/frameworks such as
PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex.
- Generative AI/LLMs: Hands-on experience in training, fine-tuning, and
deploying LLMs (GPT, LLaMA, etc.) and working with embeddings.
- MLOps/Deployment: Experience with cloud platforms (Azure, AWS, GCP),
Docker, Kubernetes, CI/CD pipelines for ML deployment.
- Vector Databases: Knowledge of FAISS, Pinecone, Weaviate, or Milvus.
- Data Handling: Experience in data preprocessing, data lakes, and pipelines.
- Cloud AI Services: Familiarity with Azure OpenAI, AWS Bedrock, GCP Vertex
AI or equivalents.
- Strong understanding of software engineering principles (version control,
testing, APIs, Agile).
Nice to Have
- Experience with multimodal AI (text, image, speech).
- Knowledge of RLHF (Reinforcement Learning with Human Feedback).
- Contributions to open-source AI/ML projects.
- Certifications in AI/ML or cloud AI platforms.
Soft Skills
- Strong analytical and problem-solving mindset.
- Excellent communication and collaboration with cross-functional teams.
- Ability to adapt quickly to evolving technologies and requirements.
- Self-driven, detail-oriented, and innovation-focused
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