Job Summary

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

As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow to embed directly with client teams, map manual business workflows, and design, build, and deploy custom AI-agent-powered solutions. In this forward-deployed role, you will own the entire lifecycle of an automation project-from initial discovery and requirement gathering through to production deployment and continuous iteration-working directly with non-technical stakeholders with minimal direction.

Responsibilities

- Client Discovery & Process Mapping: Embed with client teams to shadow, analyze, and decompose complex manual business workflows into modular, scalable AI-agent pipelines
- End-to-End Ownership: Lead the complete lifecycle of AI solutions-discovery, system architecture, development, deployment, evaluation, and iteration.
- Agent & Workflow Engineering: Architect, build, and optimize multi-agent networks, tool integrations, and reusable agent skills
- Enterprise Integration: Connect AI workflows to client enterprise infrastructure, including unstructured document processors, internal databases, and third-party tools (SharePoint, Email, Jira, SAP)
- Stakeholder Management: Translate complex technical concepts into actionable solutions for non-technical stakeholders, driving adoption and gathering actionable feedback

Requirements

- Software Engineering Background: Proven track record in core software development,



Python backend engineering, and system design
- Production AI Experience: At least one production-grade project involving LLM agents, skill building, or RAG pipelines
- Autonomy & Delivery: Robust history of taking full ownership of features or products from inception to release with minimal supervision
- Client-Facing Communication: Prior experience working directly with business users or non-technical leadership to gather requirements and present technical solutions (Consulting or Forward Deployed background is a strong plus)

AI & Agentic Systems

- LLM API Integration: Deep knowledge of tool use/function calling, streaming responses, and context window management
- Agent Frameworks: Hands-on experience with Strands as a primary framework, alongside familiarity with LangGraph, CrewAI, or AutoGen
- Model Context Protocol (MCP): Ability to build, expose, and consume MCP servers to standardize tool integration across agents
- Multi-Agent Systems (A2A): Multi-agent coordination, task delegation, and result aggregation across distributed agent networks
- Skill Building: Design, test, and deploy reusable agent skills usable across varied workflows
- RAG Pipelines: Hands-on experience with vector databases,



custom chunking strategies, embeddings, and retrieval optimization
- Prompt Engineering & Evaluation: Expertise in system prompt design, Chain-of-Thought reasoning, and setting up evaluation benchmarks
- Guardrails & Observability: Implementation of human-in-the-loop checkpoints, hallucination mitigation strategies, and agent tracking/observability tools

Back End Engineering

- Python Expertise: Modern Python (3.10+) utilizing async/await paradigms and type hinting
- Web Frameworks: Experience building asynchronous REST APIs using FastAPI (or equivalent)
- Database & Auth: Proficiency in SQL (queries, filters, joins), exposure to vector storage (pgvector, Pinecone, OpenSearch), and familiarity with JWT/OAuth2 authentication standards
- Workflow Automation: Experience ingesting and processing unstructured data sources (PDFs, Excel spreadsheets, emails)

Infrastructure & Operations

- AWS & Agent Core: Hosting and operating agent workloads on AWS AgentCore, with a clear understanding of agent lifecycle management, scaling, and invocation
- AWS Core Services: Practical knowledge of EC2/ECS, Lambda, RDS, and S3 to support deployment and data storage
- DevOps: Experience with Docker containerization and setting up CI/CD workflows using GitHub Actions

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.

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