Specialist Software Engineer
Amgen
Specialist Software Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- 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
What we expect of you
- Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field
- OR Bachelor’s 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
Must-Have Skills
- 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
- 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)
- 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Experience in Python, Java, AI/ML based Python libraries (PyTorch)intermediate
- Experienced with Web frameworks like Flask, Django, Fast APIintermediate
- Experience with design patterns, data structures, data modelling, data algorithmsintermediate
- Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in productionintermediate
- Experienced with AWS /Azure Platform, building and deploying the codeintermediate
- Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Bucketsintermediate
- Experience with popular large language modelsintermediate
- Experience with Retrieval-augmented generation (RAG) framework, AI Agents, Vector stores, AI/ML platforms, embedding models ex Open AI, Langchain, Redis, pgvectorintermediate
- Experience with prompt engineering, model fine tuningintermediate
- Experience with generative AI or retrieval-augmented generation (RAG) frameworksintermediate
- Experience in Agile software development methodologiesintermediate
- Experience in End-to-End testing as part of Test-Driven Developmentintermediate
- Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)intermediate
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)intermediate
- Experience with data processing tools like Hadoop, Spark, or similarintermediate
- Experience with Langchain or llamaIndex framework for language models; Experience with prompt engineering, model fine-tuningintermediate
- Experience working on Full stack Applicationsintermediate
- Professional Certifications: AWS, Data Science Certifications (preferred)intermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field (experience)
- OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field (experience)
- OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field (experience)
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
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Specialist Software Engineer
Amgen
Specialist Software Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- 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
What we expect of you
- Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field
- OR Bachelor’s 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
Must-Have Skills
- 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
- 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)
- 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Experience in Python, Java, AI/ML based Python libraries (PyTorch)intermediate
- Experienced with Web frameworks like Flask, Django, Fast APIintermediate
- Experience with design patterns, data structures, data modelling, data algorithmsintermediate
- Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in productionintermediate
- Experienced with AWS /Azure Platform, building and deploying the codeintermediate
- Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Bucketsintermediate
- Experience with popular large language modelsintermediate
- Experience with Retrieval-augmented generation (RAG) framework, AI Agents, Vector stores, AI/ML platforms, embedding models ex Open AI, Langchain, Redis, pgvectorintermediate
- Experience with prompt engineering, model fine tuningintermediate
- Experience with generative AI or retrieval-augmented generation (RAG) frameworksintermediate
- Experience in Agile software development methodologiesintermediate
- Experience in End-to-End testing as part of Test-Driven Developmentintermediate
- Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)intermediate
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)intermediate
- Experience with data processing tools like Hadoop, Spark, or similarintermediate
- Experience with Langchain or llamaIndex framework for language models; Experience with prompt engineering, model fine-tuningintermediate
- Experience working on Full stack Applicationsintermediate
- Professional Certifications: AWS, Data Science Certifications (preferred)intermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field (experience)
- OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field (experience)
- OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field (experience)
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
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories