Shro Systems - Generative AI Developer - LLM Models

We are looking for a highly skilled Generative AI Developer with expertise in Large Language Models (LLMs) to join our AI/ML innovation team.

The ideal candidate will be responsible for building, fine-tuning, deploying, and optimizing generative AI models to solve complex real-world problems.

You will collaborate with data scientists, machine learning engineers, product managers, and software developers to drive forward next-generation AI-powered solutions.

Key Responsibilities :

- Fine-tune pre-trained LLMs for specific tasks (e.g., text summarization, Q&A systems, chatbots, semantic search).

- Build and integrate LLM-based APIs into products and systems.

- Optimize inference performance, latency, and throughput of LLMs for deployment at scale.

- Conduct prompt engineering and design strategies for prompt optimization and output consistency.

- Develop evaluation frameworks to benchmark model quality, response accuracy, safety, and bias.

- Manage training data pipelines and ensure data privacy, compliance, and quality standards.

- Experiment with open-source LLM frameworks and contribute to internal libraries and tools.

- Collaborate with MLOps teams to automate deployment, CI/CD pipelines, and monitoring of LLM solutions.

- Stay up to date with state-of-the-art advancements in generative AI, NLP, and foundation models.

Technical Skills Required :

Core Skills :

- Model Training/Fine-Tuning: Hands-on experience with training/fine-tuning large models using libraries such as Hugging Face Transformers, DeepSpeed, LoRA, PEFT.

- Prompt Engineering: Expertise in designing, testing, and refining prompts for specific tasks and outcomes.

- Python: Strong proficiency in Python with experience in ML and NLP libraries.

- Frameworks: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks.

- MLOps: Familiarity with tools like MLflow, Kubeflow, Airflow, or SageMaker for model lifecycle management.

- Data Handling: Experience with data pipelines, preprocessing, and working with structured and unstructured data.

Additional Desirable Skills :

- Vector Databases: Experience with FAISS, Pinecone, Weaviate, or ChromaDB for semantic search applications.

- LLM APIs: Experience integrating with APIs like OpenAI, Cohere, Anthropic, Mistral, etc.

- Containerization: Docker, Kubernetes, and cloud-native services for scalable model deployment.

- Security & Ethics: Understanding of LLM security, hallucination handling, and responsible AI practices.

Qualifications :

- 2-4 years of experience in ML/NLP roles with at least 12 years specifically focused on generative AI and LLMs.

- Prior experience working in a research or product-driven AI team is a plus.

- Strong communication skills to explain technical concepts and findings clearly.

Soft Skills :

- Team player who thrives in cross-functional settings.

- Self-driven, curious, and always eager to learn the latest advancements in AI.

- Ability to work independently and deliver high-quality solutions under tight deadlines