
Senior Generative AI Engineer
2 weeks ago
Key Responsibilities
AI Solution Architecture
Design, build, and optimize RAG-based chatbot solutions and knowledge assistants.
Implement agnostic AI workflows that work across multiple LLM providers (OpenAI, Anthropic, Bedrock, Hugging Face, etc.).
Define architecture patterns for GenAI pipeline orchestration, vector databases, and embeddings.
Engineering & Development
Build scalable backend services to integrate LLMs with structured/unstructured data sources.
Develop custom connectors and APIs for enterprise data ingestion.
Optimize latency, context management, and cost efficiency of GenAI solutions.
Cloud & Infrastructure (AWS-focused)
Deploy and manage AI workloads on AWS services (Bedrock, Sagemaker, Lambda, ECS/EKS, DynamoDB, OpenSearch, S3, API Gateway).
Implement secure multi-account setups, IAM policies, and encryption for enterprise-grade compliance.
Enable monitoring, observability, and CI/CD pipelines for AI models.
Collaboration & Strategy
Work closely with product managers, architects, and data scientists to deliver AI-driven features.
Provide technical leadership and mentorship to junior engineers.
Stay ahead of GenAI trends, frameworks, and regulatory best practices.
Required Skills & Qualifications
5–8 years of experience in software engineering, with at least 2+ years in GenAI/LLM solutions.
Strong hands-on expertise with RAG pipelines (vector databases such as Pinecone, Weaviate, OpenSearch, or FAISS).
Experience with workflow orchestration tools (LangChain, LlamaIndex, Haystack, or custom frameworks).
Solid backend development experience (Python, , or Java).
Strong AWS background: Bedrock, SageMaker, Lambda, API Gateway, ECS/EKS, DynamoDB, S3.
Knowledge of prompt engineering, embeddings, fine-tuning, and evaluation of LLMs.
Familiarity with security, compliance, and cost optimization in cloud environments.
Preferred Qualifications
Prior experience deploying enterprise-grade RAG chatbots.
Knowledge of multi-cloud or provider-agnostic AI architectures.
Familiarity with DevOps & MLOps best practices (Terraform, Docker, Kubernetes, GitHub Actions).
Exposure to domain-specific LLM fine-tuning (medical, finance, customer support).
Job Type: Full-time
Pay: Rs300, Rs350,000.00 per month
Work Location: On the road
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