AI Engineer
Certa (company site, opens in a new tab)5+ yrsOn-siteDirect career pageEst. 25–45 LPA
Posted 1d ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Certa
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Certa you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy generative AI and LLM-powered services including chatbots, AI recommendations, and workflow automation within an enterprise risk management platform.
- Build and optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines focused on data ingestion, chunking, vector indexing, and prompt engineering to enhance knowledge retrieval accuracy.
- Develop and refine LLM-based multi-step agentic systems incorporating planning and tool use, while evaluating and iterating models for accuracy, latency, and hallucination reduction with strong production engineering practices.
Minimum Requirements
- 3+ years (mid-level) or 5+ years (senior) backend software engineering experience with expert Python skills and cloud deployment experience on AWS or similar.
- Proven hands-on experience developing real LLM/generative AI products (chatbots, semantic search, AI assistants) including RAG pipelines and LLM agents.
- In-depth knowledge of prompt design, embeddings, vector databases (Pinecone, Chroma, Milvus), LLM orchestration libraries (LangChain, LlamaIndex), and AI system evaluation methods.
- Familiarity with AWS services (ECS/EKS/Lambda, API Gateway, S3, DynamoDB/Postgres, OpenSearch, etc.), Infrastructure as Code (Terraform/CDK), security best practices, and production-level monitoring and deployment strategies.
Ideal Candidate Profile
- Experienced AI engineer comfortable operating at the intersection of backend system design and cutting-edge generative AI technologies, capable of delivering scalable production AI features.
- Strong in architectural design and pragmatic trade-offs balancing latency, cost, context window size, and model safety in enterprise SaaS environments.
- Strategic collaborator who can translate complex AI concepts for non-technical stakeholders and lead AI adoption across cross-functional teams in a fast-paced, remote-friendly startup environment.