Senior Artificial Intelligence/Machine Learning Engineer at Description Ciklum

About this role

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. :
Harness Engineering — Core
Harness engineering — Excellent understanding of designing agent harnesses: the control loop, tool and skill surface, context and state management, and human-in-the-loop checkpoints around an LLM
AWS Step Functions with ASL — Author Amazon States Language state machines to orchestrate agent steps, branching, retries, parallelism and human-approval gates (e.g. task-token waits); invoke AgentCore runtimes and Lambda from workflows
Deterministic vs LLM control — Design workflows where policy gates and rules decide routing and the LLM only proposes, with explicit exception, timeout and loop-guard paths
Amazon Bedrock AgentCore — Host, operate and scale agent workloads on AgentCore Runtime; understand lifecycle, scaling and invocation patterns, and expose tools via AgentCore Gateway
AgentCore Observability — Hands-on tracing, metrics and logging of agent runs (AgentCore, CloudWatch, Datadog) with a per-step audit trail to debug and monitor production workflows
AgentCore Evaluation — Hands-on design and running of evaluations (AgentCore Evaluations, golden-dataset regression tests) to measure agent quality before and after each release
Guardrails — Hands-on configuration of Amazon Bedrock Guardrails and policy controls for safety, prompt-injection defence, PII and hallucination mitigation, with human-in-the-loop review where required
Agentic AI with Claude
Claude Code / Cowork — Experience designing, deploying and scaling AI-powered production workflows using Claude Code and/or Cowork
LLM API fundamentals — Tool use, function calling, streaming and context management
Skill building — Design and publish reusable skills consumable by agent workflows
MCP (Model Context Protocol) — Build, host and consume MCP servers (e.g. FastMCP on AgentCore); expose and integrate tools for agent use, with agents reaching data only through MCP/API, never directly
Multi-agent coordination — Task delegation and result aggregation across agents (A2A)
RAG pipelines — Vector databases, chunking, embeddings and retrieval
Prompt engineering — System prompts, evaluation and iteration


Front End AG-UI — Build agent-facing user interfaces on the AG-UI protocol, connecting the front end to running agents for streaming responses, tool-call visibility, shared state and human approval steps

Back End
Python 3.10+ — async/await, type hints
FastAPI or equivalent Python web framework
Basic SQL — query, filter, join; awareness of vector DBs (pgvector, Pinecone, OpenSearch)
NoSQL — Working knowledge of document/key-value stores (e.g. Amazon DynamoDB): data modelling, access patterns, and using them for agent run state and audit trails
REST API design, JWT / OAuth2
Workflow Automation
Decompose manual business processes into agent workflows
Document processing — PDF, Excel, unstructured data extraction and classification


AI Engineer
OCR — Extract text, tables and layout from scanned and image-based documents (e.g. AWS Textract), and feed the output into agent workflows
Enterprise system integration — SharePoint, email, and external systems via APIs and MCP


Infrastructure
AWS services — Lambda, ECS, RDS, S3, IAM — support agent deployment and data storage needs
Terraform / Infrastructure as Code — Provision and promote AgentCore, Step Functions, Lambda and supporting AWS resources across environments
Docker and
GitHub Actions CI/CD


Requirements:
Proven experience in software engineering, with hands-on AI engineering shipped to production (years of experience are not the criterion; depth of AI delivery is)
At least one production project involving LLM agents, skill building, or RAG pipelines — ideally on AWS Bedrock
AgentCore and/or Step Functions
Direct experience working with enterprise customers to design, deploy and scale AI-powered production workflows using Claude Code / Cowork
Track record of owning and delivering solutions end-to-end with minimal guidance
Experience working directly with non-technical stakeholders — gathering requirements, presenting solutions
Consulting or client-facing background is an advantage
Desirable:
Kubernetes
TypeScript
Fine-tuning and model evaluation
CRE domain knowledge
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. Originally posted on Himalayas