Job Summary

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in India.

Responsibilities

- Agent Development: Design, build, and test production-grade extraction agents that map unstructured document language to a structured target schema, supporting multiple schema variants
- Ingestion Engineering: Build a document ingestion pipeline robust to degraded inputs, including low-quality scans, multi-generation photocopies, mixed image and text PDFs, and inconsistent layouts
- Confidence & Routing: Develop a per-field confidence model that drives routing, where high-confidence fields flow straight through and low-confidence fields land in the review queue
- Knowledge Engineering: Build and configure RAG knowledge bases to provide agents with secure, domain-specific context, controlling grounding and hallucination on documents where a wrong value has real downstream consequences
- Safety & Governance: Implement Human-in-the-Loop escalation interfaces, confidence thresholds, and egress controls, where reviewer corrections feed back as training signal
- Re-processing: Build a diff path that compares recent output against prior records and surfaces material changes
- Optimization: Configure model selection, token optimization, and cost and latency strategies across the inference pipeline
- Mentorship: Provide technical guidance to mid-level AI engineers and standardize extraction, confidence, and orchestration patterns

Requirements
- AWS & Bedrock: Deep AWS architecture experience with hands-on Bedrock work, including model selection, prompt and context engineering, evaluation, and cost and latency optimization in production
- Document AI:



Strong background in OCR on degraded inputs (Textract or equivalent), layout-aware extraction, and handling the gap between what OCR returns and what a schema needs
- Structured Extraction: Demonstrated experience extracting structured data from long, unstructured documents into a fixed schema, including confidence estimation and calibration
- Agentic Intelligence: Proven track record building multi-step reasoning chains, tool-use protocols, and state management for autonomous agents
- Pipeline Engineering: Production RAG or LLM pipeline experience, including chunking, retrieval, and grounding
- HITL Systems: Ability to design human-in-the-loop systems where model output is triaged, not blindly trusted, and reviewer corrections become training signal
- Ownership: Comfort owning a system end to end, from ingestion and inference to evaluation harness, monitoring, and the feedback loop

Desirable
- Confidence Calibration: Selective-prediction techniques and knowing when the model doesnt know
- Evals Literacy: Experience building programmatic evaluation harnesses and testing against golden datasets to measure field-level accuracy, review-queue precision and recall, and drift
- Data Governance: Experience building on proprietary domain corpora

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Artificial Intelligence/Machine Learning Engineer (India)
🏢 Ciklum
📍 India