Ciklum Logo

Ciklum

Senior AI Engineer

Posted One Month Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in India
Senior level
Remote or Hybrid
Hiring Remotely in India
Senior level
Lead design and delivery of production-grade agentic AI systems: discovery with clients, build multi-agent/ RAG pipelines, develop backend integrations, deploy and scale agent workloads on AWS, and implement safety, observability, and human-in-the-loop controls.
The summary above was generated by AI

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: Strong 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.

#LI-MA1

Similar Jobs

Yesterday
Easy Apply
Remote
India
Easy Apply
Senior level
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Build and operate production software and AI systems across cloud infrastructure. Responsibilities include developing APIs and services, operating RAG and inference platforms, implementing CI/CD and observability, managing AWS or GCP environments with Kubernetes and Terraform, optimizing model serving and GPU usage, controlling cloud and AI costs, and partnering with stakeholders on reliability, security, governance, and technical tradeoffs.
Top Skills: AWSCi/CdFinopsGCPGoJavaKubernetesLlmsNext.JsNode.jsPythonPyTorchRagReactTensorFlowTerraformTypescriptVector Databases
16 Days Ago
Remote or Hybrid
India
Senior level
Senior level
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.
Top Skills: Api GatewaysAWSCi/CdDockerDuckdbFastmcpJavaKafkaKubernetesLangchainLanggraphMcpMtlsPgvectorPostgresPrivatelinkPythonRagTypescriptVpc Peering
Yesterday
In-Office or Remote
Senior level
Senior level
Information Technology
Design and build production agentic AI systems for IT operations, including incident resolution, workflow automation, enterprise integrations, voice bots, and conversational interfaces. Develop orchestration, tool use, RAG, evaluation, monitoring, guardrails, and human-in-the-loop controls. Optimize solutions for reliability, latency, cost, and security while taking prototypes through deployment, testing, observability, and continuous improvement.
Top Skills: APIsAutogenCi/CdClaude CodeCloud PlatformsCrewaiCursorDatabasesDockerGenerative AiGithub CopilotLangchainLanggraphLlamaindexLlmsMonitoringObservabilityPythonRagSemantic KernelServicenowSpeech-To-TextText-To-Speech

What you need to know about the Delhi Tech Scene

Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account