{"id":3567534,"url":"https://alion.io/job/ciklum-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":181259,"name":"Ciklum","domain":"ciklum.com","url":"https://alion.io/company/ciklum","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Jira","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SharePoint","optional":false},{"name":"SQL","optional":false},{"name":"LangChain","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-07-31T13:28:35Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-10-31T17:15:25Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":92},"description":"Ciklum is looking for a Senior AI Engineer to join our team full-time in India.\nWe 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.\nAbout the role:\nAs 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.\nYou 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.\nResponsibilities:\nClient 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\nAgentic AI Engineering: Design, build, and deploy custom multi-agent systems, function-calling pipelines, RAG implementations, and reusable agent skills\nEnd-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)\nCloud & Infrastructure Management: Package, host, and scale agent workloads using modern cloud architectures (AWS AgentCore, serverless, containerized environments) with automated CI/CD\nSafety & Observability: Implement guardrails, human-in-the-loop checkpoints, and agent evaluation loops to ensure reliability, mitigate hallucinations, and ensure enterprise compliance\nRequirements:\nAgentic AI & LLMsFrameworks: Hands-on experience with Strands (primary framework), along with familiarity in LangGraph, CrewAI, or AutoGen\nAgent Core Concepts: Deep understanding of tool use, function calling, streaming, context management, system prompts, and chain-of-thought methodologies\nMCP & Agent Protocols: Proven ability to build/consume Model Context Protocol (MCP) servers, alongside multi-agent coordination (A2A), task delegation, and result aggregation\nRAG Pipelines: Hands-on build experience with vector databases (e.g., Pinecone, pgvector, OpenSearch), chunking strategies, embeddings, and retrieval optimization\nSkill Building & Guardrails: Design reusable skills for agent consumption; implement observability, hallucination mitigation, and human-in-the-loop checkpoints\n\nBackend Development & DataPython Mastery: Strong experience with Python 3.10+ using async/await and strict type hinting\nAPIs & Web Frameworks: Proficiency with FastAPI (or equivalent), REST API design, and modern auth flows (JWT / OAuth2)\nData Processing: Solid SQL skills (queries, filters, joins) and expertise in unstructured data processing (extracting/classifying data from PDFs, Excel, and legacy enterprise documents)\n\nInfrastructure & DevOpsAWS & Hosting: Experience hosting/operating agent workloads using AWS AgentCore (understanding lifecycle, scaling, and invocation patterns) along with core services (EC2/ECS, Lambda, RDS, S3)\nContainers & CI/CD: Docker proficiency and experience setting up GitHub Actions pipelines\n\nQualifications & ExperienceSoftware Engineering Track Record: Strong foundation in core software engineering principles and production-grade software development\nProduction LLM Experience: At least one production project successfully delivered using LLM agents, skill-building architectures, or RAG pipelines\nEnd-to-End Ownership: Demonstrated ability to drive projects independently from zero to one with minimal guidance\nClient-Facing Communication: Comfortable interfacing with non-technical business partners-gathering requirements, explaining technical decisions, and presenting live solutions\n\nWhat’s in it for you?\nStrong community: Work alongside top professionals in a friendly, open-door environment\nGrowth focus: Take on large-scale projects with a global impact and expand your expertise\nTailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications\nEndless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies\nCare: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations\nAbout us:\nAt 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.\nIndia 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.\nExplore, empower, engineer with Ciklum!\nInterested already? We would love to get to know you! Submit your application. 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