About the Role

We are looking for a Software Engineer - AI/LLM who is passionate about building and optimizing AI-powered solutions using large language models (LLMs). This role requires a combination of strong technical expertise in AI/ML and excellent communication skills, as you will work directly with clients to design, develop, and deploy LLM applications tailored to their needs.

You will play a key role in developing AI-driven solutions, integrating LLMs into client workflows, and ensuring scalable, high-performance deployment of AI models in production.

Responsibilities

• Design, develop, and optimize AI/LLM applications and pipelines.

• Fine-tune and integrate LLMs (e.g., GPT, Gemini, Llama) for specific business needs.

• Develop and maintain data processing workflows for AI applications.

• Build scalable APIs and backend services to serve AI-powered features.

• Optimize model inference for efficiency and cost-effectiveness.

• Collaborate with data scientists, ML engineers, and product teams to deliver AI-driven products.

• Ensure compliance with data privacy, security, and ethical AI best practices.

• Collaborate with clients to understand their AI needs and translate them into technical solutions.

• Clearly explain AI/ML concepts to both technical and non-technical stakeholders.

• Present project updates, demo solutions, and gather feedback from clients.

• Assist in pre-sales discussions by providing technical expertise and AI strategy recommendations.

Requirements

• Strong programming skills in Python.

• Experience with API development using FastAPI, Flask, or similar frameworks.

• Experience with SQL and NoSQL databases.

• Familiarity with vector databases (e.g., FAISS, Weaviate, ChromaDB).

• Familiarity with LLM fine-tuning, Agents, and Retrieval-Augmented Generation (RAG).

• Strong understanding of data engineering and MLOps best practices.

• Experience with cloud platforms (GCP, AWS, or Azure) and deploying AI models at scale.

• Familiarity with containerization and orchestration (Docker, Kubernetes).

• Ability to explain complex AI concepts to both technical and non-technical stakeholders.

• Strong verbal and written communication skills for client meetings, presentations, and documentation.

• Experience working directly with clients, partners, or external stakeholders.

Why Join Us?

• Work on cutting-edge AI and LLM technologies that shape the future of AI applications.

• Collaborate with exciting clients and businesses, integrating AI into real-world use cases.

• Engage with world-class engineers and AI researchers on innovative projects.

• Competitive salary, and career growth opportunities.

• Flexible work environment.