AI Engineer

How to Apply: Send your updated resume to hrrecruitment@tmgbpo.com with the subject line: Position: Full Name.

About the role

Driven AI Engineer who enjoys solving complex problems and applying artificial intelligence to meaningful operational challenges. In this role, you will design, develop, test, and integrate AI-enabled capabilities while collaborating directly with U.S.-based ASCENT engineers, software developers, product leaders, and mission experts. The ideal candidate combines a practical understanding of artificial intelligence and machine-learning with strong software-engineering fundamentals. You should be comfortable working in an evolving research and development environment, rapidly evaluating emerging technologies, developing prototypes, measuring solution performance, and transitioning successful concepts into secure and maintainable software products.

Key responsibilities

Design, develop, test, and integrate AI-enabled software capabilities that address defined operational, business, and customer needs. Develop applications using large language models and other foundation models, including conversational interfaces, knowledge assistants, content-generation tools, decision-support capabilities, and workflow automation. Build and improve retrieval-augmented generation solutions that securely connect approved data sources with generative models. Determine the appropriate retrieval strategy for each capability, including recognizing when a deterministic structured query over extracted, validated data is more appropriate than vector-based retrieval. Develop, test, and maintain prompts, system instructions, context-management strategies, structured outputs, and reusable interaction patterns that improve model accuracy, consistency, and reliability. Maintain prompts and system instructions as versioned, reviewable artifacts with rollback capability and an audit record of what changed, when, and why. Integrate commercial, open-source, and internally developed AI models into software applications using approved APIs, software development kits, model-serving platforms, and cloud services. Evaluate and select commercially available, pretrained, and open-source models against defined accuracy, latency, cost, and safety criteria. Build and maintain the pipelines that prepare approved data for AI development, evaluation, and operational use — collecting, extracting, cleaning, transforming, validating, and loading structured and unstructured sources including PDF, Office documents, Microsoft Project XML, and workbook inputs. Develop repeatable evaluation methods, test datasets, benchmarks, performance metrics to measure model accuracy, relevance, robustness, latency, safety, and operational effectiveness.

About you

Bachelor's degree in computer science, artificial intelligence, machine learning, data science, software engineering, mathematics, statistics, or a related discipline, with equivalent relevant experience considered in place of a degree. Five or more years of experience in artificial intelligence, machine learning, data science, software engineering, or a related technical field, including hands-on development of AI-enabled applications. Proficiency in Python and experience developing maintainable, tested, and documented software. Experience with generative AI frameworks or orchestration tools such as Lang

Chain, Lang

Graph, Llama

Index, Semantic Kernel, or comparable technologies. Experience integrating large language models, foundation models, or AI services into software applications through APIs, software development kits, or model-serving platforms. Experience developing APIs, services, or application integrations using frameworks such as Fast

API, Flask, Django, or comparable technologies. Familiarity with embeddings, semantic search, information retrieval, vector-based data representations, Git, software testing, debugging, dependency management, and secure development practices. Experience integrating Azure OpenAI Service or a comparable enterprise AI service, including tool-calling, structured outputs, grounding, context management, token and cost management, and error handling. Understanding of AI-related security and reliability risks, including prompt injection, sensitive-data exposure, hallucinations, bias, model misuse, and ungrounded outputs. Ability to comply with company cybersecurity, acceptable-use, confidentiality, intellectual-property, export-control, and data-handling requirements.

Benefits

Base Salary - Competitive gross basic monthly salary, commensurate with the candidate's qualifications, relevant experience, certifications, and specialized technical expertise. Night Shift Differential - Provided in accordance with applicable Philippine labor requirements and company policy. Statutory Benefits - SSS, PhilHealth, Pag-IBIG, 13th-month pay, and applicable holiday pay in accordance with Philippine law. Allowances - Applicable de minimis or work-related allowances, subject to company policy and employment terms. Health Coverage - HMO coverage subject to the eligibility date and terms stated in the employment offer and company policy. Paid Leave - Vacation and sick leave benefits subject to eligibility, accrual rules, and company policy.

About us

Talent Map Global BPO, Inc. is a global talent solutions and business process outsourcing company connecting skilled professionals in the Philippines with growing North American businesses. We build dedicated offshore teams across technology, finance and accounting, marketing, and enterprise operations. Our people-first culture is grounded in collaboration, integrity, continuous learning, and operational excellence. Team members gain meaningful exposure to international clients while building long-term careers in a supportive, performance-focused environment.