This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. AI Platform Developer based in India.
This role sits at the intersection of AI engineering, platform development, and enterprise-scale digital transformation. You will be responsible for designing and delivering AI-powered applications that enhance internal operations and improve customer-facing experiences across certification and sustainability workflows. The work involves building conversational AI systems, LLM-powered tools, and scalable backend services that integrate with complex enterprise ecosystems. You will help define the foundational architecture for responsible, secure, and production-grade AI adoption across multiple business functions. This is a highly collaborative role, working closely with product, data, and engineering teams to translate real-world needs into scalable AI solutions. The environment is mission-driven, technically challenging, and focused on building impactful systems that support global sustainability initiatives.
Accountabilities:
- 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.
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.
Benefits:
- Competitive compensation aligned with experience and internal equity standards.
- Fully remote role based in India with flexible collaboration structure.
- Opportunity to build cutting-edge AI systems at enterprise scale.
- Exposure to advanced LLM technologies and modern AI engineering practices.
- Mission-driven environment focused on sustainability and global impact.
- Collaborative, cross-functional culture with strong emphasis on learning and innovation.
- Career growth opportunities in AI platform engineering and enterprise architecture.