Sr. AI Platform Developer
New
Based in IndiaFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 6–10+ years
- Required Skills
- AWSMicrosoft Power BISalesforceSnowflakeMicroservicesLLM
Requirements
- 6–10+ years of experience in software engineering, platform development, or backend engineering roles.
- 3+ years of hands-on experience building AI/ML or LLM-based production systems.
- Strong experience with AWS services, particularly Amazon Bedrock, Lambda, S3, API Gateway, and related tools.
- Proven experience building conversational AI systems, chatbots, or AI-driven web applications.
- Hands-on experience integrating foundation models (e.g., Anthropic Claude or similar) into production environments.
- Strong knowledge of RAG architectures, vector databases, embeddings, and semantic search systems.
- Experience designing and building APIs, microservices, and distributed backend systems.
- Familiarity with enterprise system integration (e.g., Snowflake, Salesforce, Power BI, Drupal).
- Strong system design, problem-solving, and communication skills.
- Ability to translate business requirements into scalable, production-ready AI solutions.
- Bachelor’s degree in Computer Science, Engineering, AI, Data Science, or equivalent experience.
Responsibilities
- Design, develop, and deploy AI-powered applications supporting both internal users and external customer experiences.
- Build conversational interfaces, chatbots, and web applications leveraging large language models and generative AI systems.
- Develop and operationalize LLM-based solutions using architectures such as RAG, embeddings, and semantic search pipelines.
- Build and maintain scalable APIs, microservices, and backend systems enabling AI capabilities across enterprise platforms.
- Integrate AI solutions with enterprise tools and data systems such as Snowflake, Salesforce, Power BI, and CMS platforms.
- Design and implement knowledge ingestion, retrieval, and vector-based search systems for intelligent data access.
- Ensure production readiness of AI systems through monitoring, logging, evaluation frameworks, and cost optimization.
- Collaborate with cross-functional teams to identify high-impact AI use cases and deliver scalable solutions.
- Enforce responsible AI practices, including governance, security, data privacy, and grounded outputs.
View Full Description & ApplyYou'll be redirected to the employer's site
