Sr. Software Engineer

Job Description

We are looking for an enthusiastic AI Full Stack Software Engineer who is eager to grow in the exciting field of AI-assisted software development. This role is perfect for someone who is passionate about learning cutting-edge technologies, helping teams adopt new tools, and making a tangible impact on how software gets built. The ideal candidate will be able to design, develop, and deploy AI-powered solutions that enhance productivity, accelerate workflows, and drive innovation.

Healthcare industry experience is a strong plus.

Key Responsibilities

Design and implement AI-driven solutions leveraging LLM-based platforms.

Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation.

Collaborate with product, engineering, and data science teams to build scalable AI applications.

Fine-tune and optimize AI/LLM models for specific business and healthcare use cases.

Conduct experiments, perform benchmarking, and ensure high-quality AI deliverables.

Ensure compliance, security, and ethical usage of AI in production.

Stay up to date with the latest advancements in AI/LLMs, RAG, knowledge graphs, and healthcare AI trends.

Required Skills & Experience

Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM-based tools.

Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG).

Proficiency in Python, JavaScript/TypeScript, or similar programming languages.

Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments.

Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.).

Knowledge of ML pipelines, APIs, and prompt engineering.

Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

Healthcare industry background or prior work on AI/ML healthcare projects (strong plus).

Experience with enterprise search systems and AI-driven knowledge management tools.

Exposure to LangChain, LlamaIndex, Hugging Face, OpenAI API, or similar frameworks.

Hands-on with AI copilots for development, clinical data processing, or decision support.

Strong understanding of data privacy and compliance (HIPAA, PHI handling, etc.) in healthcare.