AI Engineer

Senior Software Engineer - AI / Agentic Applications

About Andela

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers. At Andela, we're deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We're excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you'll have access to a multitude of exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace! Our roles are typically filled at lightning speed, so if you're considering applying, get your application in quickly!

About the Client

Our client is a technology-driven organization that builds intelligent cloud platforms and modern software products. They apply AI, automation, and cloud-native engineering to deliver scalable, secure, and resilient solutions, and they sustain a collaborative engineering culture built around innovation, technical excellence, and continuous improvement. Engineers here are expected to own what they build end to end and to push the technical standard of the team forward rather than simply execute against specifications.

About the Role

We are looking for a software engineer who has moved into AI engineering – someone with a solid foundation

in building and shipping production software who, over roughly the last two years, has shifted their day-to-day

work toward building AI and agentic applications. This is a software engineering role focused on developing in the

cloud. It is not a DevOps, SRE, or infrastructure operations role, and it is not a data science or analytics role.

You will combine advanced Python development with deep expertise in either AWS or Azure and practical

experience shipping AI and agentic applications to production. You will own application design and

implementation, integrate AI models and workflows into cloud solutions, and collaborate with cross-functional

teams to deliver reliable, secure, and scalable software.

Responsibilities

• Design, develop, test, and maintain production-grade cloud-native applications and services using Python.

• Build secure, scalable REST APIs and event-driven services using frameworks such as FastAPI, Django, or

Flask.

• Design and implement solutions on either AWS or Azure using appropriate serverless, PaaS, container, data,

and integration services.

• Build and integrate AI and agentic applications that consume foundation models and orchestrate tools and

workflows.

• Implement Generative AI patterns such as Retrieval-Augmented Generation (RAG), embeddings, vector

search, tool calling, guardrails, evaluations, and cost controls where relevant.

• Integrate managed AI services such as Azure OpenAI, Amazon Bedrock, or equivalent platforms into

production applications.

• Apply strong software engineering practices, including automated testing, code review, API design,

observability, security, performance, and maintainability.

• Troubleshoot complex application and cloud integration issues with a hands-on, execution-oriented approach.

• Collaborate with product, architecture, platform, and engineering teams, and provide technical guidance to

other engineers.

Must-Have Skills

• 6+ years of professional software engineering experience, including substantial hands-on cloud application development.

• Advanced Python development skills, with Python as the primary language used to deliver production-grade

applications.

• Hands-on experience with FastAPI, Django, Flask, or a comparable Python web framework in production.

• 6+ years of professional software engineering experience, the majority of it spent building and shipping

software products, including substantial hands-on cloud application development.

• Strong production experience in at least one cloud platform – AWS or Azure – building and running

applications on that platform. Practical working exposure to the second cloud is valued but not required; please

note that CI/CD tooling such as Azure DevOps does not by itself count as Azure platform experience.

• At least 1.5 years, ideally 2+ years, of hands-on experience building AI/ML or Generative AI applications

in a production environment, as a core part of the role rather than an occasional contribution.

• Demonstrated experience building AI agents or agentic workflows, consuming model APIs, and integrating AI

capabilities into software products.

• Experience with LLM orchestration and at least one managed AI platform, such as Azure OpenAI or Amazon

Bedrock.

• Practical experience with RAG, embeddings, and vector search.

• Strong knowledge of cloud-native architecture, including serverless, PaaS, container-based services, and

event-driven systems.

• Strong API design, automated testing, debugging, and code quality practices.

• Ability to demonstrate both hands-on execution and deep technical understanding, beyond theoretical or

architecture-only experience.

• Strong analytical and problem-solving skills, ownership mentality, and effective cross-functional

communication.

• Professional English proficiency.

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Nice-to-Have Skills

• Terraform or other Infrastructure as Code experience.

• Experience with LangGraph, Semantic Kernel, AutoGen, CrewAI, LangChain, or equivalent frameworks.

• Experience using AI coding assistants such as GitHub Copilot, including reviewing AI-generated code.

• Kubernetes experience.

• Observability experience with OpenTelemetry, Prometheus, Grafana, CloudWatch, Datadog,

ELK/OpenSearch, or similar tools.

• AWS, Azure, Terraform, or AI/ML certifications.

Conditions

• Location: Fully remote, restricted to candidates based in India.

• Working timezone: Primary working timezone is UTC-5, with a minimum of 5 hours of required daily overlap. • Engagement type: Contractor role - 6-month contract, renewable.

• Dedication: Full-time, 40 hours per week.

• Equipment: BYOD required (you will use your own laptop/equipment).

Equal Opportunity

At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.