Software Engineer Generative AI

1 day ago

Sahibzada Ajit Singh Nagar, India Nath Outsourcing Solutions Pvt. Ltd. Full time

Job Description: Software Engineer – Generative AI Department: Business Intelligence Reports To: Arshbir Singh Sandhu About the Role We are looking for a highly skilled Software Engineer – Generative AI who is passionate about building intelligent, scalable, and secure AI-driven applications. The ideal candidate will combine strong software engineering fundamentals with hands-on experience in Generative AI, LLMs, and agentic AI solutions. You will play a key role in designing, developing, and deploying AI-based systems that enhance automation, analytics, and productivity across our healthcare operations. Key Responsibilities Design, develop, and deploy end-to-end Generative AI applications using LLMs and multimodal models (text, voice, image, etc.). Implement best practices in coding, testing, and documentation to ensure maintainable, scalable, and secure solutions. Build AI-powered agents and assistants to automate business. Integrate AI models (OpenAI, Azure OpenAI, Hugging Face, Ollama, etc.) into existing systems and applications. Optimize prompt engineering, retrieval-augmented generation (RAG), and fine-tuning pipelines for specific healthcare or enterprise use cases. Collaborate with data engineers and analysts to design APIs, model-serving infrastructure, and data pipelines for AI solutions. Stay current with the latest advancements in LLMs, vector databases, and Gen AI frameworks and propose improvements. Conduct code reviews, performance testing, and mentor junior developers on AI development best practices. Required Skills & Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. 3–6 years of software engineering experience with strong coding fundamentals (Python preferred). Proven experience with Generative AI models (OpenAI GPT, Llama, Mistral, Claude, Gemini, etc.). Experience building RAG-based systems, vector databases (FAISS, Pinecone, Chroma, Weaviate), and embeddings. Proficient in backend development (FastAPI, Flask, Django) and API integrations. Strong understanding of software engineering best practices — version control (Git), CI/CD, modular code, testing frameworks, and design patterns. Familiarity with LangChain, LlamaIndex, Hugging Face Transformers, or similar frameworks. Experience with containerization and orchestration (Docker, Celery, etc.) is a plus. Knowledge of healthcare data or RCM processes is an added advantage but not mandatory. Preferred Skills Experience with multi-agent frameworks (CrewAI, AutoGen, LangGraph, etc.). Exposure to cloud AI deployment (Azure, AWS, or self-hosted environments). Experience with open-source LLM hosting and optimization (e.g., vLLM, Ollama, text-generation-webui). Soft Skills Strong problem-solving and analytical thinking. Ability to write clean, modular, and well-documented code. Passion for innovation, experimentation, and continuous learning. Excellent communication and collaboration skills. Why Join Us Work on real-world AI applications transforming healthcare operations. Opportunity to lead and innovate in a fast-growing AI adoption environment. Collaborative, modern, and learning-driven culture.

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