Ciklum is looking for a Senior AI 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 AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow, who thrives at the intersection of cutting-edge AI technology and real-world business execution. In this role, you won't just write code in a silo—you will embed directly with client teams, map complex and manual workflows, and engineer autonomous AI-agent solutions to replace them. You will own the solution lifecycle end-to-end: discovery, architecture, build,

deployment, and iteration. Working with minimal direction, you’ll serve as the technical authority who bridge the gap between complex agentic architectures and high-impact business outcomes.

Responsibilities

Client Embedding & Workflow Discovery: Partner directly with business stakeholders to break down manual enterprise processes, map complex decision-making steps, and translate them into robust agentic workflows Agentic AI Engineering: Design, build, and deploy custom multi-agent systems, function-calling pipelines, RAG implementations, and reusable agent skills End-to-End System Ownership: Develop production-ready backend services and integration layers to connect AI agents with core enterprise platforms (e.g., SharePoint, Jira, SAP, email) Cloud & Infrastructure Management: Package, host, and scale agent workloads using modern cloud architectures (AWS AgentCore, serverless, containerized environments) with automated CI/CD Safety & Observability: Implement guardrails, human-in-the-loop checkpoints, and agent evaluation loops to ensure reliability, mitigate hallucinations,



and ensure enterprise compliance Requirements:

Agentic AI & LLMs Frameworks: Hands-on experience with Strands (primary framework), along with familiarity in LangGraph, CrewAI, or AutoGen Agent Core Concepts: Deep understanding of tool use, function calling, streaming, context management, system prompts, and chain-of-thought methodologies MCP & Agent Protocols: Proven ability to build/consume Model Context Protocol (MCP) servers, alongside multi-agent coordination (A2A), task delegation, and result aggregation RAG Pipelines: Hands-on build experience with vector databases (e.g., Pinecone, pgvector, OpenSearch), chunking strategies, embeddings, and retrieval optimization Skill Building & Guardrails: Design reusable skills for agent consumption; implement observability, hallucination mitigation, and human-in-the-loop checkpoints Backend Development & Data Python Mastery: Robust experience with Python 3.10+ using async/await and strict type hinting APIs & Web Frameworks: Proficiency with FastAPI (or equivalent), REST API design, and modern auth flows (JWT / OAuth2) Data Processing: Solid SQL skills (queries, filters, joins) and expertise in unstructured data processing (extracting/classifying data from PDFs, Excel, and legacy enterprise documents) Infrastructure & DevOps AWS & Hosting: Experience hosting/operating agent workloads using AWS AgentCore (understanding lifecycle, scaling, and invocation patterns) along with core services (EC2/ECS, Lambda, RDS, S3) Containers & CI/CD: Docker proficiency and experience setting up GitHub Actions pipelines Qualifications &





Experience Software Engineering Track Record: Strong foundation in core software engineering principles and production-grade software development Production LLM Experience: At least one production project successfully delivered using LLM agents, skill-building architectures, or RAG pipelines End-to-End Ownership: Demonstrated ability to drive projects independently from zero to one with minimal guidance Client-Facing Communication: Comfortable interfacing with non-technical business partners—gathering requirements, explaining technical decisions, and presenting live solutions 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.

📌 Senior AI Engineer (India)
🏢 Ciklum
📍 India