Job
Description
What you will do You will play a key role as part of Operations Generative AI (GenAI) Product team to deliver cutting edge innovative GEN AI solutions across various Process Development functions (Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations functions. The role involves developing, implementing and sustaining GEN AI solutions to help find relevant, actionable information quickly and accurately. Role Description: The Specialist Software Engineer is responsible for designing, developing, and maintaining GEN AI solutions software applications and solutions that meet business needs and ensure high availability and performance of critical systems and applications in Process development under Operation. This role involves working closely with Data Scientists, business SMEs, and other engineers to create high-quality, scalable GEN AI software solutions to help find relevant, actionable information quickly and accurately, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Take ownership of complex software projects from conception to deployment, Manage software delivery scope, risk, and timeline. Rapidly prototype concepts into working code. Provide technical guidance and mentorship to junior developers. Contribute to front-end and back-end development using cloud technology. Develop innovative solutions using generative AI technologies. Integrate with other systems and platforms to ensure seamless data flow and functionality. Conduct code reviews to ensure code quality and adherence to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Analyze and understand the functional and technical requirements of applications, solutions, and systems and translate them into software architecture and design specifications. Work closely with product team, cross-functional teams, enterprise technology teams and QA, to deliver high-quality and compliant software on time. Ensure high quality software deliverables free of bugs and performance issues through proper design and comprehensive testing strategies. Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs). Develop solutions for handling structured/unstructured data in AI pipelines. Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, Databricks). Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field Experience in Python, Java, AI/ML based Python libraries(PyTorch), Experienced with Web frameworks like Flask, Django, Fast API Experience with design patterns, data structures, data modelling, data algorithms Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production. Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience with popular large language models Experience with Retrieval-augmented generation (RAG) framework, AI Agents, Vector stores, AI/ML platforms, embedding models ex Open AI, Langchain, Redis, pgvector Experience with prompt engineering, model fine tuning Experience with generative AI or retrieval-augmented generation (RAG) frameworks Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Preferred Qualifications: Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk). Experience with data processing tools like Hadoop, Spark, or similar. Experience with Langchain or llamaIndex framework for language models; Experience with prompt engineering, model fine-tuning. Experience working on Full stack Applications Professional Certifications: AWS, Data Science Certifications(preferred) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.
