Build production AI/ML systems for extracting structured data from complex documents. Responsibilities include document ingestion, OCR, confidence modeling, RAG knowledge bases, agentic workflows, human-in-the-loop review, reprocessing and diffing, model optimization, evaluation, monitoring, and governance. The role also provides technical mentorship to mid-level AI engineers and owns systems end to end.
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in India.
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
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 new 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 doesn't 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
What’s in it for you?
- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations
About us:
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.
India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level.
Explore, empower, engineer with Ciklum!
Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.
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