Software Engineer Generative AI

1 hour ago

SAS 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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