Gen AI Developer

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