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Talent Map Global BPO, Inc. in the Philippines seeks a driven AI Engineer to design, develop, test, and integrate AI-enabled capabilities while collaborating with U.S.-based ASCENT engineers, software developers, product leaders, and mission experts.
The role blends AI research with strong software-engineering fundamentals, rapidly evaluating new technologies, building prototypes, and transitioning concepts into secure, maintainable software products.
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 AI
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
Develop repeatable evaluation methods, test datasets, benchmarks, and 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 LangChain, LangGraph, LlamaIndex, 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 FastAPI, 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
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.
Benefits
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
Applicable de minimis or work-related allowances, subject to company policy and employment terms
HMO coverage subject to the eligibility date and terms stated in the employment offer and company policy
Vacation and sick leave benefits subject to eligibility, accrual rules, and company policy