Senior AI Engineer
AI summary
Lak-Che Ltd, a US-incorporated AI and software company, is hiring a Senior AI Engineer in Lagos, Nigeria. The role focuses on building production-grade RAG pipelines, fine-tuning LLMs, and creating AI-powered automation workflows. Candidates need 5+ years of experience, strong Python skills, and a verifiable AI project portfolio.
- Production-grade RAG pipelines and LLM fine-tuning work
- Python-first role with LangChain, TensorFlow, PyTorch, and n8n
- Hybrid work arrangement with competitive pay plus commission
- Clear growth path into AI Lead or Head of AI
- Verifiable AI project portfolio is mandatory
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists NGN 400,000 - 600,000 Negotiable Plus Commission. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in internship, technology, AI EngineerThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in LagosThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior AI Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Lak-Che Ltd and the role in Lagos.
- Add concrete examples related to internship, technology, AI Engineer, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobberman Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
Source and safety check
- Jobberman Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Senior AI Engineer role in internship, technology?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Lagos under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Lak-Che Ltd before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Senior Ai Engineer Lak-Che Software & Data Today Easy apply New Lagos Full Time IT & Telecoms NGN 400,000 - 600,000 Negotiable Plus Commission Share link Share on WhatsApp Share on LinkedIn Share on Facebook Share on Twitter Share via SMS Job summary Senior AI Engineer at Lak-Che Ltd — a US-incorporated AI & software company. Build and deploy production-grade AI systems: RAG pipelines, fine-tuned LLMs, and intelligent automation. 5+ years required. Python-first. LangChain, TensorFlow, n8n proficient. Portfolio of live AI projects mandatory. Min Qualification: Degree Experience: Level: Senior level Experience: Length: 5 years Language Requirement: English Working Hours: Full Time - 8 to 5 Applicant Location: Lagos, Nigeria Job descriptions & requirements: Responsibilities: Design and build production-grade RAG (Retrieval-Augmented Generation) pipelines using vector databases, hybrid retrieval strategies, and reranking layers Fine-tune and evaluate large language models for domain-specific use cases across client and internal projects Build and maintain AI-powered automation workflows using n8n, integrating LLMs, APIs, and external data sources Develop and deploy AI features into web and mobile products in collaboration with the engineering team Work with frameworks including LangChain, TensorFlow, PyTorch, or equivalent to build scalable AI systems Own model evaluation, performance monitoring, and iterative improvement of deployed AI systems Contribute to the AI architecture and tooling decisions across LAKCHE's product suite Document AI systems clearly and maintain reproducible, version-controlled pipelines Requirements: Minimum 5 years of professional software or AI engineering experience: Python as primary language strong, demonstrable proficiency is non-negotiable Proven hands-on experience: building RAG pipelines in production environments Hands-on experience: with LLM fine-tuning dataset preparation, training, evaluation, and deployment Proficiency with at least one major AI framework: LangChain, TensorFlow, PyTorch, or equivalent Practical, production-level experience: with n8n for AI workflow automation Strong understanding of vector databases Pinecone, Weaviate, ChromaDB, or similar Solid grasp of prompt engineering, context window management, and LLM orchestration patterns A strong AI project portfolio with verifiable references is mandatory applications without one will not be considered Preferred Requirements: Experience: with multimodal models (vision, audio, or document AI) Familiarity with cloud AI services AWS Bedrock, Google Vertex AI, or Azure OpenAI Exposure to MLOps practices model versioning, CI/CD for ML, monitoring Experience: with FastAPI or similar for serving AI models via APIs Knowledge of data pipelines and ETL for AI training datasets Familiarity with LLM evaluation frameworks Ragas, TruLens, or similar Benefits: Hybrid work arrangement a mix of on-site and remote flexibility Competitive compensation based on experience: and demonstrable impact Work on live, cutting-edge AI products with real users and real stakes Direct collaboration with the founding leadership and the Lead Developer Clear growth path into an AI Lead or Head of AI function as LAKCHE scales A team culture that takes AI seriously we build with it, not just talk about it Log In and Apply Important safety tips Do not make any payment without confirming with the Jobberman Customer Support Team. If you think this advert is not genuine, please report it via the Report Job link below. Report Job