SS&C Technologies - Lead Software Engineer - Generative AI

Job Title : Lead Software Engineer

Key Responsibilities :

- Lead the development of robust, high-performance web and generative AI applications.

- Build and deploy GenAI solutions leveraging Retrieval-Augmented Generation (RAG) pipelines for intelligent document querying, summarization, and semantic search.

- Extract, structure, and process data from complex documents (PDFs, images, scanned forms) using integrated OCR engines (e.g., Tesseract, PaddleOCR) and vision-language models.

- Develop RAG-based GenAI applications using tools like Lang Chain and Llama Index, and work with vector databases (e.g., FAISS, Weaviate) for efficient embedding-based retrieval.

- Integrate OCR, LLMs, and vector search into business applications to automate the extraction, understanding, and processing of unstructured content.

- Design, train, and optimize both Small Language Models (SLMs) and Large Language Models (LLMs) for domain-specific applications, ensuring efficiency and high performance.

- Develop scalable training pipelines leveraging methods such as supervised fine-tuning, reinforcement learning from human feedback (RLHF), prompt tuning, parameter-efficient fine-tuning (e.g., Lora, adapters), and knowledge distillation.

- Fine-tune, evaluate, and deploy language models using advanced techniques like quantization, continual learning, and model distillation to meet evolving business requirements.

- Analyze and monitor model outputs for quality, bias, and safety, iterating to improve accuracy and model alignment with user and business needs.

- Architect, design, and implement scalable and secure solutions aligned with business objectives.

- Mentor and guide a team of developers, fostering a culture of continuous learning and improvement.

- Design and maintain APIs, including RESTful and GraphQL interfaces, ensuring seamless data exchange with third-party services.

- Implement and maintain CI/CD pipelines, utilizing automation tools for seamless deployment.

- Collaborate with cross-functional teams, including DevOps, Security, Data Science, and Product Management.

- Optimize application performance by efficiently managing resources, implementing load balancing, and optimizing queries.

- Ensure compliance with industry security standards such as GDPR.

- Stay updated with emerging technologies, especially in Generative AI, Machine Learning, cloud computing, and microservices architecture.

Required Qualifications :

- Bachelors or masters degree in computer science, Engineering, or a related field.

- 3+ years of hands-on experience in AI & Python development, with expertise in Django, Flask, or FastAPI.

- Ability to design and build end-to-end applications and API integrations

- Proven experience with large language models (LLMs) and AI model development

- Experience with developing retrieval-augmented generation (RAG).

- Experience with GenAI tools like Lang chain, Llama Index, Lang Graph, and open-source Vector Dbs.

- Exposure to prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc.

- Exposure to SLMs.

- Experience with supervised fine-tuning, reinforcement learning from human feedback (RLHF), prompt tuning, parameter-efficient fine-tuning (e.g., Lora, adapters), and knowledge distillation.

- Experience with relational databases such as MS SQL Server, PostgreSQL, and MySQL.

- Expertise in DevOps practices, including Docker, Kubernetes, and CI/CD tools like GitHub Actions.

- Deep understanding of microservices architecture and distributed computing principles.

- Strong knowledge of security best practices in software development.

- Familiarity with data analytics and visualization tools such as Snowflake, Looker, Tableau, or Power BI.

- Excellent problem-solving skills and the ability to work independently and within a team.

- Strong communication and stakeholder management skills.

Location : Hyderabad (Hybrid Work Model)