{"id":823790,"url":"https://alion.io/job/ncs-eg-ai-developer-agentic-ai-systems","title":"#EG AI Developer (Agentic AI Systems)","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":82,"open_postings":376,"ghost_share":0.298,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":77000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Edge AI","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitLab CI","optional":false},{"name":"GraphDB","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Jenkins","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Miro","optional":false},{"name":"OpenShift","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-03T06:26:44Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-17T17:56:59Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":43},"description":"NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.\n We are looking for an AI Developer to play a key role in building our agentic reasoning engines. You will own the intelligent layer of our bespoke enterprise system, ensuring our AI agents are reliable, secure, and capable of solving complex workflows. You will be involved in developing sophisticated RAG capabilities and stateful multi-agentic networks, moving beyond simple chat to high-consequence autonomous systems.\nWhat will you do?\n1. Agentic AI Architecture & Development\nDesign and implement stateful multi-agent networks and/or workflows using LangGraph and/or LangChain.\nArchitect and implement multi-layered guardrails to ensure agent actions remain within business scope, enterprise safety and policy boundaries.\nBuild guardrails to mitigate risks such as prompt injection and data leakage.\nDevelop sophisticated reasoning engines capable of handling complex, high-consequence autonomous workflows.\n2. RAG Pipeline Development & Optimisation\nBuild and optimise end-to-end RAG (Retrieval-Augmented Generation) pipelines, focusing on high-precision retrieval and semantic search.\nIntegrate diverse data sources including vector DB, graph DB, NoSQL, and RDBMS.\nImplement advanced RAG techniques such as chunking strategies, query expansion, re-ranking, and hybrid search.\nApply prompt engineering and context engineering techniques to enhance retrieval quality.\n3. AI Microservices & Deployment\nBuild and maintain high-performance AI microservices optimised for OCI-compliant environments.\nServe AI agents via FastAPI, packaging and deploying in OCI-compliant environments and OCP (OpenShift Container Platform).\nImplement semantic caching and design for parallel LLM invocation to optimise performance.\nIntegrate AI evaluation into CI/CD pipelines (e.g., Jenkins, GitLab CI).\n4. Performance Monitoring & Evaluation\nUse LLM evaluation frameworks to quantitatively measure agent performance.\nLeverage AI tracing, observability, and logging tools to identify and fix bottlenecks in complex reasoning paths.\nMonitor and continuously improve agent reliability, accuracy, and efficiency.\n5. Cross-Functional Collaboration\nPartner with software teams to define data contracts and integrate information flow from AI layer to software backend and frontend.\nCollaborate with stakeholders to ensure AI solutions align with business objectives and technical requirements.\nCommunicate effectively (written and verbal) with technical and non-technical stakeholders at all levels.\nAn ideal candidate should posses:\nTechnical Requirements\nExpert-level proficiency in Python, specifically for asynchronous AI applications.\nMastery of LangGraph and LangChain for building production-grade, stateful systems with human-in-the-loop verification patterns.\nProven success in developing RAG capabilities, including experience with chunking strategies, advanced techniques like query expansion, re-ranking, hybrid search, etc.\nDeep hands-on experience with vector DB, graph DB, NoSQL, and RDBMS.\nExperience building guardrails to mitigate risks such as prompt injection and data leakage.\nExperience integrating AI evaluation into CI/CD pipelines (e.g., Jenkins, GitLab CI).\nExperience serving AI agents via FastAPI, packaging and deploying in OCI-compliant environments and OCP.\nProficiency in AI tracing, observability, and logging tools to identify and fix bottlenecks in complex reasoning paths.\nExperience implementing semantic caching and designing for parallel LLM invocation.\nKnowledge of prompt engineering and context engineering techniques.\nProfessional Experience\nAt least 2-5 years of experience in AI/ML development, with substantial work in production-grade agentic AI systems.\nProven track record of deploying AI solutions in enterprise environments.\nExperience working in Agile or iterative development environments.\nPersonal Attributes\nSelf-motivated with a positive \"can-do\" attitude.\nStrong problem-solving skills and ability to work independently.\nExcellent communication and collaboration skills.\nAbility to thrive in a fast-paced, innovative environment.\n Bonus Qualifications (Preferred)\nWorking knowledge of database query languages including SQL and HiveQL (or equivalent).\nWorking knowledge of building data ETL pipelines.\nKnowledge in building or fine-tuning deep learning models.\nKnowledge in mathematical statistical analysis.\nExperience with cloud platforms such as AWS, GCP, or Azure.\nFamiliarity with Design Thinking or Lean UX methodologies.\nExposure to scaled Agile frameworks (SAFe, LeSS).\nExperience working with distributed teams across multiple time zones.\nProficiency in using collaboration tools like Mural, Miro, or Jamboard.\n Why Join NCS?\nGrow with Us\nWork on cutting-edge AI products that shape the future of technology\nCollaborate with talented, passionate teams across research, engineering, and design\nAccess continuous learning opportunities and career development pathways\nMake an Impact\nTransform AI research into products that solve real problems for clients and users\nDrive innovation in a leading Technology Services Firm with regional presence\nContribute to building a better future through responsible, human-centred AI\nThrive in Our Culture\nExperience a human-to-human approach where relationships and collaboration matter\nBe part of Team NCS, where bold ideas meet practical execution\nEnjoy a supportive environment that values diversity, inclusion, and respect\nWe are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.\nPlease note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. 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