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 agents (e.g., Lease Abstraction, CAM Reconciliation) using the Prodigy framework as a baseline
- SDK & Gateway Engineering: Develop a lightweight Python SDK to interface between agents and the platform Control Plane, abstracting complex LLM routing to providers like AWS Bedrock and Anthropic
- Knowledge Engineering: Build and configure RAG (Retrieval-Augmented Generation) knowledge bases and GraphDB mappings to provide agents with secure, domain-specific context
- Safety & Governance: Implement "Human-in-the-Loop" (HITL) escalation interfaces, confidence thresholds, and strict egress controls to prevent data exfiltration. Ensure all AI solutions comply with security, data privacy, and responsible-AI standards
- Optimization: Configure "Agent Overrides" and token optimization strategies (e.g., "balanced" vs. "perfectionist" consumption) via configurable workflows
- End-to-End Development: Lead the design, development, and deployment of advanced AI systems across Data Science and AI Engineering domains Contribute hands-on to development activities, from experimentation and prototyping to production-grade implementation
- Architecture & Pipelines: Architect and implement scalable AI pipelines and LLM-driven applications, including RAG, orchestration, and multi-agent systems
- MLOps / LLMOps: Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation, and continuous improvement of AI models and pipelines
- Ecosystem Integration: Integrate AI services with enterprise platforms (e.g., Confluence, Jira, GitHub, CRM, ERP) and ensure seamless interoperability
- Cross-Functional Collaboration: Collaborate with cross-functional engineering, data, and product teams to align technical solutions with client and business objectives
- Innovation: Drive innovation through internal frameworks and accelerators
- Technical Authority: Serve as the technical authority during client engagements, ensuring architecture quality, scalability, performance, and reliability
- Subject Matter Expertise: Act as a technical SME in presales conversations, translating business challenges into viable AI engineering solutions
- Strategic Planning: Partner with delivery and account teams to shape long-term client engagement strategies based on engineering excellence
- Mentorship & Standardization: Provide technical guidance to mid-level AI engineers and lead "Agent Factory" sessions to standardize decision logic and orchestration patterns. Mentor engineering peers and support knowledge sharing across teams and practices (e.g., contributing to Ciklum’s AI Academy)
- Recruitment: Support recruitment efforts through technical assessments, interviews, and candidate evaluation
- Cross-Skilling: Mentor team members and contribute to cross-skilling initiatives within the AI and Engineering service lines
- Engineering Excellence: Uphold engineering excellence by promoting best practices, code quality, and delivery standards across projects
Requirements:
- AI Ecosystem: Extensive experience with Python, LangChain, and LangSmith; familiarity with the Prodigy framework is a significant advantage
- Agentic Intelligence: Proven track record building multi-step reasoning chains, tool-use protocols, and state management for autonomous agents
- Data Architecture: Practical experience with Vector Databases (ChromaDB, PGVector) and building ETL "Data Engines" for secure agent consumption via MCP
- Infrastructure: Understanding of containerization (Docker/K8s) and isolated runtimes such as Firecracker MicroVMs for agent sandboxing
- Integration: Experience integrating AI solutions with enterprise identity providers like WorkOS for multi-tenancy
- Workflow Orchestration: Experience with Temporal for managing long-running, multi-stage agentic workflows
Desirable:
- Domain Expertise: Familiarity with Commercial Real Estate workflows (Lease accounting, CAM reconciliation)
- Evals Literacy: Experience building programmatic "Evaluation Harnesses" and testing against "Golden Datasets" to measure hallucination rates
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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