Get the chrome extension Software Engineer AI - Artificial Intelligence
CRH Talento de IT
Position: Software Engineer AI
Location: Remote
Work Shift: Monday through Friday 09:00 am to 06:00 pm
Benefits:
·Christmas Bonus
·Vacation Bonus
·Flexible Compensation
·Food Vouchers
·Saving Fund
·Work Tools
·Employee Profit Sharing
·Performance Bonus
·Birthday Leave
·Major Medical Insurance
·Life Insurance
·Retirement Plan
·Company Cafeteria Service
·Reliable Transportation
Requirements:
- Bachelor’s degree in Computer Science, Computer Engineering, Machine Learning, or related technical field
- 5+ years of professional software engineering experience with strong proficiency in Python and experience with Java
- 2+ years of hands-on production GenAI experience, including:
- Building and deploying AI Agentic systems or autonomous agents in production environments
- Architecting context engineering solutions including dynamic context assembly, memory systems, and agentic retrieval patterns
- Designing multi-agent orchestration and multi-hop reasoning pipelines
- Implementing agent planning strategies, tool orchestration, and human-in-the-loop patterns
- Prompt engineering, function calling, and tool-use implementations
- Proven track record of shipping production-grade AI/ML systems that delivered measurable business value
- Strong experience with agentic frameworks, particularly ADK (Agentic Design Kit) and LangGraph, or similar modern agent orchestration tools
- Strong understanding of software design patterns, SOLID principles, and clean architecture applied to AI systems
- Experience with CI/CD pipelines, containerization (Docker), and cloud infrastructure
Key Responsabilities:
- Design and Deploy Production AI Agentic Systems: Architect, build, and deploy autonomous AI agents using state-of-the-art frameworks like ADK (Agentic Design Kit) and LangGraph that leverage LLMs to automate code reviews, quality analysis, and development workflow optimization at scale
- Architect Advanced Context Engineering Solutions: Design sophisticated context engineering strategies including dynamic context assembly, agentic retrieval patterns, memory systems (episodic and working memory), and multi-hop reasoning pipelines for complex code analysis tasks
- Develop AI-Powered Automation Tools: Build intelligent backend services in Python and Java that leverage GenAI to detect anti-patterns, suggest improvements, and standardize development workflows
- Establish AI-Enhanced Engineering Excellence: Define and implement coding standards and best practices specifically for GenAI systems, including LLM evaluation metrics, guardrails, and responsible AI principles
- Lead AI-Powered Code Reviews: Conduct comprehensive code reviews using state-of-the-art GenAI tools and agents, providing architectural guidance on performance, security, and AI system design
Contact Details:
This is a high-visibility opportunity where your software engineering expertise will directly impact our Customer’s engineering user experiences.
Originally posted on Himalayas
Staff AI Engineer
Twin Health
Twin Health
At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.
We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.
Working here
Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.
Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .
With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.
Join us as we reinvent the standard of care in metabolic health.
Opportunity
We are seeking a Staff AI Engineer to join our Core AI team to shape the technical direction of our AI-driven product using the latest techniques in Gen AI, AI agents, and deep learning. This is powered by our Digital Twin AI, which combines Predictive and Generative AI to provide individualized insights and recommendations that improve the health of our members every day.
This is a senior technical leadership role for someone who wants to solve hard, ambiguous problems at the system level — not just within a single feature, but across the architecture, tooling, and standards that the whole Core AI team relies on. You'll set technical direction across multiple AI products, mentor senior engineers, and be the person others turn to when a problem doesn't have an obvious owner.
Responsibilities
- Design and build the core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse across different applications.
- Set the technical bar for the org: evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure used across multiple teams.
- Identify and resolve systemic engineering gaps before they become team-wide problems — proactively, not just in response to escalations.
- Take direct ownership of the hardest, most ambiguous technical problems on the team — the ones without an established playbook — and build the solution end-to-end.
- Build and ship conversational agents, deep learning models, and personalization systems that require novel technical approaches.
- Improve AI/ML systems and services to drive behavior change and sustained metabolic health improvements across our member base.
- Raise the technical level of the team through code review and design review — this is IC technical leadership, not people management. You will not have direct reports.
- Partner with product, engineering leadership, and clinical/research teams to turn ambiguous goals into technical designs you then build.
- Other duties as assigned.
Qualifications
- 8+ years of industry experience developing AI and Machine Learning systems in production, with a track record of leading technical initiatives that span multiple teams or systems.
- Deep software engineering fundamentals: testing, CI/CD, system design, code review — with demonstrated experience designing evaluation infrastructure and shared tooling for LLM-based systems, not just using it.
- Proven experience setting technical direction and engineering standards at an organizational level, not just within a single team or codebase.
- Experience creating and scaling applications leveraging LLMs, Generative AI, advanced Prompt Engineering, RAG, and iterative AI evals in production.
- Track record of mentoring senior engineers and influencing technical decisions beyond your own project.
- Experience with Voice AI or specialized Language Models (VLMs, multi-modal, etc.) is a plus.
- Proficiency in Python and software engineering best practices at a level where you're often the one defining what "best practice" means for the team.
- Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
- This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Compensation and Benefits
The compensation range for this position is $250,000-$265,000 annually.
Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin
- A competitive compensation package in line with leading technology companies
- A remote and accomplished global team
- Opportunity for equity participation
- Unlimited vacation with manager approval
- 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
- 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
- 401k retirement savings plan
We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a email address. We will never ask you to complete a text interview or request financial details during the interview process.
Originally posted on Himalayas